U.S. patent application number 14/611320 was filed with the patent office on 2015-05-21 for testing automatic data collection devices, such as barcode, rfid and/or magnetic stripe readers.
The applicant listed for this patent is Intermec IP Corp.. Invention is credited to Nicholas P. Allen, Andrew C. Harding, Jeffrey K. Suhr.
Application Number | 20150136851 14/611320 |
Document ID | / |
Family ID | 39028184 |
Filed Date | 2015-05-21 |
United States Patent
Application |
20150136851 |
Kind Code |
A1 |
Harding; Andrew C. ; et
al. |
May 21, 2015 |
TESTING AUTOMATIC DATA COLLECTION DEVICES, SUCH AS BARCODE, RFID
AND/OR MAGNETIC STRIPE READERS
Abstract
Automatic data collection devices such as barcode readers, RFID
readers, magnetic stripe readers and the like may be tested using
ADC device test executables, modules, or processes stored at a
variety of network locations. One or more sets of tests or work
lists may be defined to facilitate testing. Tests may be identified
by name and/or keyword. Keywords may be indicative one or more
functionalities tested by the respective ADC device test
module.
Inventors: |
Harding; Andrew C.;
(Kirkland, WA) ; Suhr; Jeffrey K.; (Mukilteo,
WA) ; Allen; Nicholas P.; (Edmonds, WA) |
|
Applicant: |
Name |
City |
State |
Country |
Type |
Intermec IP Corp. |
Fort Mill |
SC |
US |
|
|
Family ID: |
39028184 |
Appl. No.: |
14/611320 |
Filed: |
February 2, 2015 |
Related U.S. Patent Documents
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Application
Number |
Filing Date |
Patent Number |
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11833461 |
Aug 3, 2007 |
8944332 |
|
|
14611320 |
|
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|
60821551 |
Aug 4, 2006 |
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Current U.S.
Class: |
235/438 |
Current CPC
Class: |
G06K 7/0095 20130101;
G06F 11/0709 20130101; G06K 7/0008 20130101; G06F 11/2294 20130101;
G06K 7/10 20130101; G06F 11/0748 20130101 |
Class at
Publication: |
235/438 |
International
Class: |
G06K 7/00 20060101
G06K007/00 |
Claims
1. A method of testing automatic data collection devices, the
method comprising: automatically determining a set of
functionalities of a target automatic data collection device to be
tested; based on the determined set of functionalities of the
target automatic data collection device, automatically identifying
a number of automatic data collection tests to be run against the
target automatic data collection device; determining whether any of
the identified automatic data collection tests are indicated as
being disabled; executing at least one of the identified automatic
data collection tests against the target automatic data collection
device, but not executing against the target automatic data
collection device any of the identified automatic data collection
tests that are indicated as being disabled; and at least
temporarily storing a set of results from the execution of the
identified automatic data collection tests against the target
automatic data collection device.
2. The method of claim 1, wherein determining whether any of the
identified automatic data collection tests are indicated as being
disabled comprises: querying a global set of automatic data
collection test disablement information stored on at least one
location on a network; and/or querying a global set of automatic
data collection test disablement information stored on at least one
location on a network based on at least one keyword indicative of a
functionality of the target automatic data collection device.
3. The method of claim 1, wherein automatically determining a set
of functionalities of a target automatic data collection device to
be tested includes: remotely querying the target automatic data
collection device; and/or querying a database that stores
relationships between a number of automatic data collection device
model identifiers and a number of functionalities of automatic data
collection devices of specific models.
4. The method of claim 1, wherein automatically identifying a
number of automatic data collection tests to be run against the
target automatic data collection device based on the determined set
of functionalities of the target automatic data collection device
includes locating respective ones of the identified automatic data
collection tests at various locations on a network.
5. The method of claim 4, wherein locating respective ones of the
identified automatic data collection tests at various locations on
a network includes determining at least one keyword associated with
at least of the functionalities and searching the network based on
the determined keyword for automatic data collection tests
corresponding to the at least one keyword.
6. The method of claim 5, wherein searching the network based on
determined keywords for automatic data collection tests
corresponding to the at least one keyword includes searching the
network for dynamically linked libraries having attributes with at
least one keyword that matches the determined keyword.
7. The method of claim 1, comprising: providing a set of interim
results formatted within a work list of the identified automatic
data collection tests while executing the at least one of the
identified automatic data collection tests against the target
automatic data collection device; and/or providing a set of final
results formatted within a work list of the identified automatic
data collection tests after executing the at least one of the
identified automatic data collection tests against the target
automatic data collection device, with any failures visually
emphasized.
8. The method of claim 1, comprising storing a work list indicative
of the identified automatic data collection tests and a respective
location of each of the automatic data collection tests on a
network, the work list selectively retrievable to rerun the
identified automatic data collection tests.
9. A method of facilitating testing automatic data collection
devices, the method comprising: forming a first set of data that
identifies a plurality of automatic data collection device tests,
where an executable module for a respective one of each of the
automatic data collection tests are stored at a number of different
storage locations; and assigning at least a first identifier to the
first set of data that identifies the number of automatic data
collection device tests.
10. The method of claim 9, wherein forming a first set of data that
identifies a plurality of automatic data collection device tests
includes forming the first set of data that identifies at least two
automatic data collection devices tests, where the respective
executable modules for each of the at least two automatic data
collection tests are distributed at respective locations on a
network, the at least two respective locations being different from
one another.
11. The method of claim 9, wherein assigning at least a first
identifier to the first set of data that identifies the number of
automatic data collection device tests includes assigning a first
name to the first set.
12. The method of claim 9, comprising: receiving a run test command
including the first identifier; and running the executable modules
of each of the respective automatic data collection device tests
identified by the first set of data against a target automatic data
collection device.
13. The method of claim 9, comprising: receiving a run test command
including the first identifier; determining if any of the automatic
data collection device tests are identified as being disabled;
locating the executable modules of at least some of the respective
automatic data collection device tests identified by the first set
of data; and running the located executable modules of the
respective automatic data collection device tests identified by the
first set of data which are not identified as disabled against a
target automatic data collection device.
14. The method of claim 13, comprising providing a set of interim
results formatted within a framework of the automatic data
collection device tests identified by the first set of data.
15. The method of claim 13, comprising providing a set of final
results formatted within a framework of the automatic data
collection device tests identified by the first set of data after
executing the identified automatic data collection tests against
the target automatic data collection device, with any failures
visually emphasized.
16. The method of claim 9, comprising: forming a second set of data
that identifies a plurality of automatic data collection device
tests, where an executable module for a respective one of each of
the automatic data collection tests are stored at a number of
different storage locations; and assigning at least a second
identifier to the first set of data that identifies the number of
automatic data collection device tests.
17. A system for facilitating testing automatic data collection
devices, the system comprising: a network port to provide
communications via a network; a processor coupled to the network
port; and a processor-readable medium that stores instructions that
cause the processor to facilitate testing by: forming a first set
of data that identifies a plurality of automatic data collection
device tests, where an executable module for a respective one of
each of the automatic data collection tests are stored at a number
of different storage locations; and assigning at least a first
identifier to the first set of data that identifies the number of
automatic data collection device tests.
18. The system of claim 17, wherein the instructions cause the
processor to facilitate testing by: receiving a run test command
including the first identifier; locating the executable modules of
each of the respective automatic data collection device tests
identified by the first set of data; and running the located
executable modules of each of the respective automatic data
collection device tests identified by the first set of data against
a target automatic data collection device.
19. The system of claim 17, wherein the instructions cause the
processor to facilitate testing by: receiving a run test command
including the first identifier; determining if any of the automatic
data collection device tests are identified as being disabled;
locating the executable modules of at least some of the respective
automatic data collection device tests identified by the first set
of data; and running the located executable modules of the
respective automatic data collection device tests identified by the
first set of data which are not identified as disabled against a
target automatic data collection device.
20. The system of claim 17, wherein the instructions cause the
processor to facilitate testing by: providing a set of results
formatted within a framework of the automatic data collection
device tests identified by the first set of data; and/or providing
a set of final results formatted within a framework of the
automatic data collection device tests identified by the first set
of data after executing the identified automatic data collection
tests against the target automatic data collection device, with any
failures visually emphasized.
Description
CROSS-REFERENCE TO RELATED APPLICATIONS
[0001] The present application claims the benefit of U.S. patent
application Ser. No. 11/833,461 for Testing Automatic Data
Collection Devices, Such as Barcode, RFID and/or Magnetic Stripe
Readers filed Aug. 3, 2007 (and published Feb. 7, 2008 as U.S.
Patent Application Publication No. 2008/0029597), now U.S. Pat. No.
8,944,332, which claims the benefit of U.S. Patent Application No.
60/821,551 filed Aug. 4, 2006. Each of the foregoing patent
applications, patent publication, and patent is hereby incorporated
by reference in its entirety.
FIELD
[0002] The methods, apparatus and articles described herein
generally relate to automatic data collection (ADC) devices, such
as readers capable of reading optical machine-readable symbols
(e.g., barcode symbols, stacked code symbols, and/or matrix or area
code symbols), radio frequency identification (RFID) tags, and/or
magnetic stripes, and more particularly relate to methods,
apparatus and articles to facilitate the upgrading, validating and
testing of such ADC devices.
BACKGROUND
[0003] The ADC field is generally directed to the use of devices to
automatically capture data encoded in a variety of data carriers.
Data carriers may take the form of media bearing machine-readable
symbols, such as barcode symbols, stacked code symbols, matrix, or
area code symbols. Data carriers may take the form of active or
passive RFID circuits carried by tags or cases. Data carriers may
also take the form of media bearing magnetic stripes.
[0004] A variety of ADC devices and ADC media are ubiquitous and
well known.
[0005] For example, readers for optically reading machine-readable
symbols are common in a large variety of retail, warehouse, and
shipping environments. Such readers are commonly referred to as
"barcode" readers, and typically take the form of either optical
scanners or optical imagers. Optical machine-readable symbol
readers may be fixed, such as those typically found at much grocery
or supermarket checkout stands where the item bearing the
machine-readable symbol is passed over the optical reader. Handheld
machine-readable symbol readers are also common, where the operator
either moves the reader to scan the desired machine-readable symbol
or generally aims the optical machine-readable symbol reader at the
desired machine-readable symbol and optionally activates a trigger
or other switch to cause the optical reader to scan or capture an
image of the machine-readable symbol.
[0006] RFID readers are becoming increasingly more common in
retail, warehouse, and shipping environments. RFID readers
wirelessly read and/or write information to RFID circuits, commonly
referred to as RFID tags. Such RFID readers may be either fixed or
handheld. RFID readers may operate with active RFID tags which
contain a discrete power source such as a battery or
ultra-capacitor, or may operate with passive RFID tags which derive
power from an RF interrogation signal transmitted by the RFID
reader. RFID tags may, or may not, include encryption and other
security measures for controlling access to the data stored in the
RFID tag.
[0007] Magnetic stripe readers are commonly found in a large
variety of environments, such as in point-of-sale (POS) terminals
for reading magnetic stripes carried by various media, for example
financial cards such as credit cards, debit cards, and/or gift
cards. Magnetic stripe readers typically rely on movement of the
media relative to a magnetic reader head to magnetically capture
the information encoded in the polarizations of the magnetic
stripe.
[0008] An ADC device platform typically includes one or more ADC
devices. For example, a POS terminal may include a barcode reader
and a magnetic stripe reader, in addition to a keyboard, display,
processor, and cash drawer most commonly associated with
traditional cash registers. In turn, the ADC devices may employ
components or subsystems, which may or may not be modularized for
easy replacement or substitution. For example, an optical
machine-readable symbol reader may include a scan engine, an
illumination system, an image capture device, and/or a decode
section. An RFID reader may include a separate transmitter and
receiver, along with associated antennas.
[0009] One problem that has hindered the ability to add or upgrade
ADC devices or components on an ADC device platform is the
extensive testing of new or upgraded ADC devices, associated
components and/or functionality that must be performed to ensure
that the ADC devices, associated components and/or functionality
will work with the large number of existing ADC device platforms
with respect to hardware, firmware and/or software. ADC device
suppliers and end users have a large number of combinations and
permutations of ADC device structures and functions that require
testing. A related problem is the large amount of technical support
and analysis that the manufacturer or supplier must typically
supply the consumer to ensure that the ADC device and/or associated
firmware or software is correctly installed, configured, and/or
operated. This problem is particularly exacerbated where initial
testing of the "build" has not been adequately validated and
tested, for example using regression techniques, before release of
the new or upgraded ADC device, associated component and/or
functionality.
[0010] Enhancing the ability to test ADC devices and/or ADC device
platforms would be highly desirable to both the consumer and the
manufacturers or suppliers of ADC platforms and devices. Such may,
for example, facilitate the upgrade of ADC devices or components on
an ADC platform.
SUMMARY
[0011] In one embodiment, a method of testing automatic data
collection devices includes automatically determining a set of
functionalities of a target automatic data collection device to be
tested; based on the determined set of functionalities of the
target automatic data collection device, automatically identifying
a number of automatic data collection tests to be run against the
target automatic data collection device; executing at least one of
the identified automatic data collection tests against the target
automatic data collection device; and at least temporarily storing
a set of results from the execution of the identified automatic
data collection tests against the target automatic data collection
device.
[0012] In another embodiment, a computer-readable medium stores
instructions that cause a computer to test automatic data
collection devices, by automatically determining a set of
functionalities of a target automatic data collection device to be
tested; based on the determined set of functionalities of the
target automatic data collection device, automatically identifying
a number of automatic data collection tests to be run against the
target automatic data collection device; executing at least one of
the identified automatic data collection tests against the target
automatic data collection device; and at least temporarily storing
a set of results from the execution of the identified automatic
data collection tests against the target automatic data collection
device.
[0013] In another embodiment, a method of facilitating testing
automatic data collection devices includes receiving at least one
keyword that is indicative of at least one functionality provided
by some automatic data collection devices; and based on the
received at least one keyword, searching at least a portion of a
network for a number of automatic data collection tests that may be
run against the automatic data collection devices which provide the
at least one functionality indicated by the keyword.
[0014] In another embodiment, a system to facilitate testing
automatic data collection devices includes a network connection; a
processor; and a memory that stores processor executable
instructions that cause the processor to receive at least one
keyword that is indicative of at least one functionality provided
by some automatic data collection devices, and based on the
received at least one keyword, search at least a portion of a
network for a number of automatic data collection tests that may be
run against the automatic data collection devices which provide the
at least one functionality indicated by the keyword.
[0015] In another embodiment, a method of automating the remote
testing of automatic data collection devices includes locating a
plurality of existing automatic data collection device tests on a
network; automatically filtering the automatic data collection
device tests by keywords to determine at set of relevant automatic
data collection device tests; and running the automatic data
collection device tests in the set of relevant automatic data
collection device tests against at least one target automatic data
collection device.
[0016] In another embodiment, a system to automate the remote
testing of automatic data collection devices includes a network
port to provide a connection to a network; and a processor
configured to locate a plurality of existing automatic data
collection device tests on the network, automatically filter the
automatic data collection device tests by keywords to determine at
set of relevant automatic data collection device tests; and run the
automatic data collection device tests in the set of relevant
automatic data collection device tests against at least one target
automatic data collection device.
[0017] In another embodiment, a method of facilitating testing
automatic data collection devices includes forming a first set of
data that identifies a plurality of automatic data collection
device tests, where an executable module for a respective one of
each of the automatic data collection tests are stored at a number
of different storage locations; and assigning at least a first
identifier to the first set of data that identifies the number of
automatic data collection device tests.
[0018] In another embodiment, a system for facilitating testing
automatic data collection devices includes a network port to
provide communications via a network; a processor coupled to the
network port; and a processor-readable medium that stores
instructions that cause the processor to facilitating testing by
forming a first set of data that identifies a plurality of
automatic data collection device tests, where an executable module
for a respective one of each of the automatic data collection tests
are stored at a number of different storage locations; and
assigning at least a first identifier to the first set of data that
identifies the number of automatic data collection device
tests.
BRIEF DESCRIPTION OF THE DRAWINGS
[0019] In the drawings, identical reference numbers identify
similar elements or acts. The sizes and relative positions of
elements in the drawings are not necessarily drawn to scale. For
example, the shapes of various elements and angles are not drawn to
scale, and some of these elements are arbitrarily enlarged and
positioned to improve drawing legibility. Further, the particular
shapes of the elements as drawn, are not intended to convey any
information regarding the actual shape of the particular elements,
and have been solely selected for ease of recognition in the
drawings.
[0020] FIG. 1 is a schematic diagram of a networked environment in
which at least one exemplary embodiment may operate.
[0021] FIG. 2 is a functional block diagram of a computing system
suitable for use in the networked environment of FIG. 1, according
to one illustrated embodiment.
[0022] FIG. 3 is a schematic diagram showing stored information and
logic, according to one illustrated embodiment.
[0023] FIG. 4 is a high-level flow diagram showing a method of
identifying and running ADC device tests against target ADC
devices, according to one illustrated embodiment.
[0024] FIG. 5 is a flow diagram showing a method of automatically
determining functionality of a target ADC device, according to one
illustrated embodiment.
[0025] FIG. 6 is a flow diagram showing a method of automatically
determining functionality of a target ADC device, according to
another illustrated embodiment.
[0026] FIG. 7 is a flow diagram showing a method of identifying or
locating ADC device tests, according to one illustrated
embodiment.
[0027] FIG. 8 is a flow diagram showing a method of identifying ADC
device tests on a network, according to one illustrated
embodiment.
[0028] FIG. 9 is a flow diagram showing a method of determining
whether an ADC device test is disabled, according to one
illustrated embodiment.
[0029] FIG. 10 is a flow diagram showing a method of determining
whether an ADC device test is disabled, according to another
illustrated embodiment.
[0030] FIG. 11 is a flow diagram showing a method of storing a set
of tests or work list which may be performed as part of the method
illustrated in FIG. 8, according to one illustrated embodiment.
[0031] FIG. 12 is a flow diagram showing a method of identifying
and executing ADC device tests based on a keyword indicative of
functionality, according to one illustrated embodiment.
[0032] FIG. 13 is a flow diagram showing a method of searching a
network for ADC device tests based on keywords, according to one
illustrated embodiment.
[0033] FIG. 14 is a flow diagram showing a method of identifying or
locating ADC device tests by keyword, according to another
illustrated embodiment.
[0034] FIG. 15 is a flow diagram showing a method of adding
keywords to existing ADC device tests, according to one illustrated
embodiment.
[0035] FIG. 16 is a flow diagram showing a method of defining a
list of tests of work list, according to one illustrated
embodiment.
[0036] FIG. 17 is a flow diagram showing a method of assigning a
name to a list of tests or work lists, according to one illustrated
embodiment.
[0037] FIG. 18 is a flow diagram showing a method of assigning at
least one keyword to a list of tests or work list, according to one
illustrated embodiment.
[0038] FIG. 19 is schematic illustration of a work list, according
to one illustrated embodiment.
DETAILED DESCRIPTION
[0039] In the following description, certain specific details are
set forth in order to provide a thorough understanding of various
embodiments of the invention. However, one skilled in the relevant
art will recognize that the invention may be practiced without one
or more of these specific details, or with other methods,
components, materials, etc. In other instances, well known
structures associated with ADC devices such as optical readers for
reading machine-readable symbols, RFID readers for reading RFID
tags, magnetic stripe readers for reading magnetic stripes, as well
as computers, networks, and databases have not been shown or
described in detail to avoid unnecessarily obscuring descriptions
of the embodiments of the invention.
[0040] Unless the context requires otherwise, throughout the
specification and claims which follow, the word "comprise" and
variations thereof, such as, "comprises" and "comprising" are to be
construed in an open, inclusive sense, that is as "including, but
not limited to."
[0041] Reference throughout this specification to "one embodiment"
or "an embodiment" means that a particular feature, structure, or
characteristic described in connection with the embodiment is
included in at least one embodiment of the present invention. Thus,
the appearances of the phrases "in one embodiment" or "in an
embodiment" in various places throughout this specification are not
necessarily all referring to the same embodiment. Furthermore, the
particular features, structures, or characteristics may be combined
in any suitable manner in one or more embodiments.
[0042] As used in this specification and the appended claims, the
singular forms "a," "an," and "the" include plural referents unless
the content clearly dictates otherwise. It should also be noted
that the term "or" is generally employed in its sense including
"and/or" unless the content clearly dictates otherwise.
[0043] The headings provided herein are for convenience only and do
not interpret the scope or meaning of the claimed invention.
[0044] Disclosed are methods, apparatus and articles to provide a
simple way of adding, locating, and running ADC device tests. The
ADC device tests may be stored as executables, modules or processes
at various network locations, including but not limited on a
directory of a developer or tester's own computing system. The ADC
device tests may contain a list of keywords that describe areas
which the ADC device test is associated, for example
functionalities and/or structure that are tested by the respective
the ADC device test. Keywords may be broad descriptions (e.g.,
"Data Collection" or "Network") or more specific (e.g., "Code 39",
"DHCP Enabled", or "User Defined Symbology Identifier"). For
example, custom attributes inside a C# or .NET assembly may be used
to identify ADC device tests stored inside a DLL.
[0045] Keywords may be used to create a suite of ADC device tests
to test specific functionality or structure in groups or as
individual test cases. Groups may be saved as sets or work lists,
for quick and easier reuse. The sets or work lists may provide
structure for simply and intuitively reporting tests results.
[0046] Such an approach may facilitate both high level and low
level testing, allowing granularity of testing to be simply and
easily adjusted as desired.
Networked Environment
[0047] FIGS. 1 and 2, and the following discussion provide a brief
general description of a suitable environment in which embodiments
may be implemented. Although not required, embodiments will be
described in the general context of computer executable
instructions, such as program application modules, objects, or
macros being executed by a computer. Those skilled in the relevant
art will appreciate that the invention can be practiced with other
system configurations including handheld devices, multiprocessor
systems, microprocessor based or programmable consumer electronics,
network PCs, minicomputers, mainframe computers, and the like.
Embodiments can be practiced in distributed environments where
tasks or modules are performed by remote processing devices, which
are linked through a communications network. In a distributed
environment, programming modules may be located in both local and
remote memory storage devices.
[0048] In particular, FIG. 1 shows a networked environment 10
comprising a testing computing system 12, local and remote tester
operated computing systems 14a, 14b, respectively, and automated
data collection device platforms 16a-16d, communicatively coupled
via a one or more networks 17 such as a local area network (LAN),
and/or wide area network (WAN), for example the Internet. The
network 17 may take the form of one or more extranets or intranets,
or other types of networks, and can employ any of a variety of
network architectures. The testing computing system 12, tester
operated computing systems 14a, 14b and/or automated data
collection device platforms 16a-16d may alternatively or additional
employ point-to-point communications.
Testing Computing System
[0049] As described in more detail below, the testing computing
system 12 may take the form of one or more computers, for example a
test computer 18 and may optionally include a monitor 20 and one or
more user input devices 22 such as a keyboard, keypad, mouse,
trackball, digitizing tablet and/or touch screen display. The
testing computing system 12 may also include one or more storage
devices 24 for storing information such as one or more databases.
While illustrated as being external to the test computer 18, one or
more of the data storage devices 24 may be located internally in a
housing of the test computer 18.
Tester Operated Computing Systems
[0050] The local and remote tester operated computing systems 14a,
14b may take the form of a personal computer (PC), mini- or
microcomputer and/or workstation 26 configured to function as a
server and/or client, and may optionally include a monitor 28 and
one or more user input devices 30 such as a keyboard, keypad,
mouse, trackball, digitizing tablet, and/or touch screen display.
Some of the tester operated computing systems 14a may be
communicatively coupled to the testing computing system 12 via a
local area network 32, while others of the designer operated
computing systems 14b may be coupled to the testing computing
system 12 via the wide area network 17.
ADC Device Platforms
[0051] The ADC device platforms 16a-16d may take a variety of
forms, each of which comprises one or more ADC devices.
[0052] The ADC device platform 16a may, for example, take the form
of a point-of-sale (POS) terminal commonly found at retail
locations. The POS terminal may include a handheld optical reading
device 34a for optically reading symbols such as machine-readable
barcode symbols 36a carried by items or tags. The handheld optical
reading device 34a may include an image capture device, for example
a linear imager or a two-dimensional imager, for capturing an image
of the machine-readable symbol 36a. The handheld optical reading
device 34a may optionally include an illumination system, for
example a flood illumination system, for illuminating the
machine-readable symbol 36a. The ADC device platform 16a may also
include an employee operated magnetic stripe reader 34b for reading
information encoded in a magnetic stripe carried on a card 36b such
as a credit card, debit card and/or a gift card.
[0053] Another ADC device platform 16b may take the form of a
personal computer with a variety of ADC devices coupled via a
serial port, the personal computer storing and executing
instructions for processing data captured by the ADC devices. In
particular, the ADC devices may include a handheld RFID reader 34c
operable for wirelessly reading or interrogating RFID tags. The ADC
devices may include a handheld wand style machine-readable symbol
reader 34d. The wand style machine-readable symbol reader 34d may
be moved across a machine-readable symbol in order to capture the
information encoded in the machine-readable symbol via scanning.
The ADC device platform 16b may further include a magnetic stripe
reader 34e.
[0054] A further ADC device platform 16c may take the form of a POS
terminal, such as those commonly found in retail stores such as
grocery or supermarkets. Such an ADC device platform 16c may
include a fixed barcode scanner 34f. Items bearing machine-readable
symbols may be passed over the fixed barcode scanner 34f to capture
the information encoded in the machine-readable symbol by scanning.
The ADC device platform 16c may also include a customer operated
magnetic stripe reader 34g. The magnetic stripe reader 34g may be
similar to those commonly found in retail stores such as grocery or
supermarkets, which allow the customer to make payment by credit,
debit, and/or gift cards. Such magnetic stripe readers typically
include a keypad that allows the customer to enter information such
as a personal identity number (PIN), and to make a selection, such
as whether to receive cash back from the retailer.
[0055] Yet another ADC device platform 16d may take the form of a
fixed RFID interrogation system including a set of transceivers and
antennas 34h distributed about a facility for wirelessly reading
RFID tags 36c encoding information to determine the presence or
absence, location or position, and/or information encoded in, the
RFID tags 36c. The transceivers and antennas 34h may be
communicatively coupled via a network to one or more centralized
computing systems that operates and/or collects data read from the
RFID tags 36c. The facility may take a variety of forms, for
example, a manufacturing facility, warehouse, shipping center,
and/or retail store.
[0056] One or more ADC devices 34a-34h may be integrated into the
ADC platform 16a-16d, or may be communicatively coupled to the ADC
device platform 16a, 16d by wired connections, for example serial
cables and/or parallel cables, and/or wireless connections, for
example infrared transceivers or Bluetooth transceivers.
Computing Systems
[0057] In particular, FIG. 2 shows a conventional personal computer
referred to herein as computing system 46 that may be appropriately
configured to function as either the test computer 18, as one of
the tester operated computing systems 14a-14b, or as the computing
system portion of one of the automatic data collection platforms
16a-16d.
[0058] The computing system 46 includes a processing unit 48, a
system memory 50, and a system bus 52 that couples various system
components including the system memory 50 to the processing unit
48. The processing unit 48 may be any logical processing unit, such
as one or more central processing units (CPUs), digital signal
processors (DSPs), application-specific integrated circuits
(ASICs), etc. Unless described otherwise, the construction and
operation of the various blocks shown in FIG. 2 are of conventional
design. As a result, such blocks need not be described in further
detail herein, as they will be understood by those skilled in the
relevant art.
[0059] The system bus 52 can employ any known bus structures or
architectures, including a memory bus with memory controller, a
peripheral bus, and/or a local bus. The system memory 50 includes
read-only memory ("ROM") 54 and random access memory ("RAM") 56. A
basic input/output system ("BIOS") 58, which can form part of the
ROM 54, contains basic routines that help transfer information
between elements within the computing system 46, such as during
startup.
[0060] The computing system 46 also includes one or more spinning
media memories such as a hard disk drive 60 for reading from and
writing to a hard disk 61, and an optical disk drive 62 and a
magnetic disk drive 64 for reading from and writing to removable
optical disks 66 and magnetic disks 68, respectively. The optical
disk 66 can be a CD-ROM, while the magnetic disk 68 can be a
magnetic floppy disk or diskette. The hard disk drive 60, optical
disk drive 62, and magnetic disk drive 64 communicate with the
processing unit 48 via the bus 52. The hard disk drive 60, optical
disk drive 62 and magnetic disk drive 64 may include interfaces or
controllers coupled between such drives and the bus 52, as is known
by those skilled in the relevant art, for example via an IDE (i.e.,
Integrated Drive Electronics) interface. The drives 60, 62 and 64,
and their associated computer-readable media 61, 66 and 68, provide
nonvolatile storage of computer-readable instructions, data
structures, program modules and other data for the computing system
46. Although the depicted computing system 46 employs hard disk 61,
optical disk 66 and magnetic disk 68, those skilled in the relevant
art will appreciate that other types of spinning media memory
computer-readable media may be employed, such as digital video
disks ("DVDs"), Bernoulli cartridges, etc. Those skilled in the
relevant art will also appreciate that other types of
computer-readable media that can store data accessible by a
computer may be employed, for example, non-spinning media memories
such as magnetic cassettes, flash memory cards, RAMs, ROMs, smart
cards, etc.
[0061] Program modules can be stored in the system memory 50, such
as an operating system 70, one or more application programs 72,
other programs or modules 74, and program data 76. The applications
programs 72 may include one or more programs for locating ADC
device platforms and/or ADC devices, selecting appropriate tests,
analyzing results of the tests, and delivering the analysis in
order to validate ADC device builds. The system memory 50 also
includes one or more communications programs 77 for permitting the
computing system 46 to access and exchange data with sources such
as websites of the Internet, corporate intranets, or other
networks, as well as other server applications on server computers.
The communications program 77 may take the form of one or more
server programs. Alternatively, or additionally, the communications
program may take the form of one or more browser programs,
particularly where the computing system 46. The communications
program 77 may be markup language based, such as hypertext markup
language ("HTML"), Extensible Markup Language (XML) or Wireless
Markup Language (WML), and operate with markup languages that use
syntactically delimited characters added to the data of a document
to represent the structure of the document. A number of Web clients
or browsers are commercially available such as NETSCAPE
NAVIGATOR.RTM. from America Online, and INTERNET EXPLORER.RTM.
available from Microsoft Corporation of Redmond Wash.
[0062] While shown in FIG. 2 as being stored in the system memory
50, the operating system 70, application programs 72, other program
modules 74, program data 76 and communications program 77 can be
stored on the hard disk 61 of the hard disk drive 60, the optical
disk 66 and the optical disk drive 62 and/or the magnetic disk 68
of the magnetic disk drive 64.
[0063] A user can enter commands and information to the computing
system 46 through input devices such as a keyboard 78 and a
pointing device such as a mouse 80. Other input devices can include
a microphone, joystick, game pad, scanner, etc. These and other
input devices are connected to the processing unit 48 through an
interface 82 such as a serial port interface that couples to the
bus 52, although other interfaces such as a parallel port, a game
port or a universal serial bus ("USB") can be used. A monitor 84 or
other display devices may be coupled to the bus 52 via video
interface 86, such as a video adapter. The computing system 46 can
include other output devices such as speakers, printers, etc.
[0064] The computing system 46 can operate in a networked
environment 10 (FIG. 1) using logical connections to one or more
remote computers. The computing system 46 may employ any known
means of communications, such as through a local area network
("LAN") 88 or a wide area network ("WAN") or the Internet 90. Such
networking environments are well known in enterprise-wide computer
networks, intranets, extranets, and the Internet.
[0065] When used in a LAN networking environment, the computing
system 46 is connected to the LAN 88 through an adapter or network
interface 92 (communicatively linked to the bus 52). When used in a
WAN networking environment, the computing system 46 often includes
a modem 93 or other device for establishing communications over the
WAN/Internet 90. The modem 93 is shown in FIG. 2 as communicatively
linked between the interface 82 and the WAN/Internet 90. In a
networked environment, program modules, application programs, or
data, or portions thereof, can be stored in a server computer (not
shown). Those skilled in the relevant art will readily recognize
that the network connections shown in FIG. 2 are only some examples
of establishing communications links between computers, and other
communications links may be used, including wireless links
[0066] The computing system 46 may include one or more interfaces
such as slot 94 to allow the addition of devices 96, 98 either
internally or externally to the computing system 46. For example,
suitable interfaces may include ISA (i.e., Industry Standard
Architecture), IDE, PCI (i.e., Personal Computer Interface) and/or
AGP (i.e., Advance Graphics Processor) slot connectors for option
cards, serial and/or parallel ports, USB ports (i.e., Universal
Serial Bus), audio input/output (i.e., I/O) and MIDI/joystick
connectors, and/or slots for memory.
[0067] The term "computer-readable medium" as used herein refers to
any medium that participates in providing instructions to
processing unit 48 for execution. Such a medium may take many
forms, including but not limited to, non-volatile media, volatile
media, and transmission media. Non-volatile media includes, for
example, hard, optical or magnetic disks 61, 66, 68, respectively.
Volatile media includes dynamic memory, such as system memory 50.
Transmission media includes coaxial cables, copper wire, and fiber
optics, including the wires that comprise system bus 52.
Transmission media can also take the form of acoustic or light
waves, such as those generated during radio wave and infrared data
communications.
[0068] Common forms of computer-readable media include, for
example, floppy disk, flexible disk, hard disk, magnetic tape, or
any other magnetic medium, CD-ROM, any other optical medium, punch
cards, paper tape, any other physical medium with patterns of
holes, RAM, PROM, EPROM, EEPROM, FLASH memory, any other memory
chip or cartridge, a carrier wave as described herein, or any other
medium from which a computer can read.
[0069] Various forms of computer readable media may be involved in
carrying one or more sequences of one or more instructions to
processing unit 48 for execution. For example, the instructions may
initially be carried on a magnetic disk of a remote computer. The
remote computer can load the instructions into its dynamic memory
and send the instructions over a telephone line using a modem. A
modem 93 local to computer system 46 can receive the data on the
telephone line and use an infrared transmitter to convert the data
to an infrared signal. An infrared detector coupled to the system
bus 52 can receive the data carried in the infrared signal and
place the data on system bus 52. The system bus 52 carries the data
to system memory 50, from which processing unit 48 retrieves and
executes the instructions. The instructions received by system
memory 50 may optionally be stored on a storage device either
before or after execution by processing unit 48.
[0070] FIG. 3 shows a networked environment 100 including the test
computer 18 interacting with various networked elements via the
network 17, according to one illustrated embodiment.
[0071] The various networked elements may include one or more ADC
devices or platforms, for example ADC devices 16a-16d (collectively
16).
[0072] The networked elements may also include a number of remote
test case locations 102a-102c (collectively 102). Each of the
remote test case locations 102 store one or more test case
executable programs, modules or processes 103a-103c (collectively
103), which may be run against one or more of the ADC devices 16.
One or more of the remote test case locations 102 may reside on one
or more of the ADC devices 16. For example, one of the remote test
cases locations 102c may reside on one of the ADC devices 16d. One
or more of the remote test case locations 102 may reside on one or
more computers, storage devices or other networked elements. For
example, remote test case locations 102a, 102b may reside on
networked computers and/or storage devices of one or more ADC
device manufacturers, distributors, and/or end users.
[0073] The networked elements may further include one or more
remote work list locations 104a-104b (collectively 104). Each of
the remote work list locations store one or more work lists 105a,
105b (collectively 105) that identify one or more tests that may be
run against one or more ADC devices 16. The work list 105 may
define an order of test execution, and/or a number of times each
test is to be executed. One or more of the remote work list
locations 104 may reside on one or more of the ADC devices 16. For
example, a first remote work list location 104a may reside on the
ADC device 16c. One or more of the remote work list locations 104
may reside on one or more computers, storage devices or other
networked elements. For example, remote work list locations 104b
may reside on networked computers and/or storage devices of one or
more ADC device manufacturers, distributors, and/or end users.
[0074] The networked elements may additionally include one or more
remote disabled list locations 106 (only one illustrated). Each of
the remote disable list locations 106 stores one or more disable
lists 107. The disable lists identify tests that have been
temporarily or permanently disabled. For example, where a known
error is undergoing troubleshooting, it may be efficient to avoid
running a test that will result in an error until, the
troubleshooting and/or repair is completed. The remote disable list
locations 106 may reside on one or more of the ADC devices 16,
and/or on one or more computers, storage devices or other networked
elements, for example, one or more networked computers and/or
storage devices of one or more ADC device manufacturers,
distributors and/or end users.
[0075] The test computer 18 may include one or more local test case
locations 110 that stores one or more local test case executables
111a-111c (collectively 111). The test computer system 18 may also
include one or more local work list locations 112 that stores one
or more work lists 113a-113c (collectively 113). The test computer
system 18 may further include one or more local disable list
locations 114 which may store one or more disable lists 115.
[0076] The test computer system 18 may include or may execute a
test discovery executable, module or process 120. As discussed in
detail below, the ADC device test discovery executable, module or
process 120 discovers ADC device tests on the network 17 including
ADC device tests in the remote test locations 102 as well as the
local test locations 110.
[0077] The test computer system 18 may also include a work list
creation/management executable, module, or process 122. As
discussed in detail below, the work list creation/management
executable, module or process 122 may facilitate the discovery,
creation, and/or management of lists or sets of tests or scripts,
referred herein as work lists.
[0078] The test computer system 18 further includes a disable list
management executable, module, or process 124. As discussed in more
detail below, the disable list management executable, module or
process 124 may discover disable lists at one or more remote
disable list locations 106 as well as the local disable list
locations 114. In some embodiments there may be a single global
disable list (e.g., local disable list 115) and single disable list
location (e.g., local disable list location 114).
[0079] The test computer system 18 may even further include a test
execution executable, module, or process 126. As discussed in
detail below, the test execution module 126 executes the executable
ADC device test executable, module, or process 103. Hence the test
execution module 126 runs the ADC device test executable, module,
or process 103 against one or more target ADC devices 16.
[0080] The test computer system 18 may additionally include a test
reporting executable, module, or process 128. As discussed in more
detail below, the test reporting executable, module or process 128
may facilitate reporting of interim test results as well as
reporting of final test results. The test results may
advantageously be formatted within the work lists, as described in
more detail below.
[0081] FIG. 4 shows a method 400 of automatically identifying and
executing ADC device tests against target ADC devices 16, according
to one illustrated embodiment.
[0082] The method 400 may start at 402, for example, in response to
a user input or in response to a signal from a test scheduler.
[0083] At 404, the test computer 18 automatically determines
functionalities of target ADC devices 16. For example, the test
computer 18 may determine the functionalities based on an
identifier or configuration number. The identifier or configuration
number may, for example, take the form of a numeric string,
alphabetic string, alphanumeric string, or binary string. The
identifier or configuration number may have multi-positions, where
individual or groups of positions represent certain
functionalities. For example, the first four positions (e.g., from
right to left, or from left to right) may represent the
communications functionality of the target ADC device 16, such as
whether the target ADC device has a radio, operates in batch mode,
and/or has local or wide area network functionality. The following
position may represent the type and amount of memory in the target
ADC device 16, for example the amount of RAM and/or ROM. The
following position may represent whether and/or what type of scan
engine or imager the target ADC device 16 employs, for example a
linear imager or area imager. Another position may indicate whether
the target ADC device 16 is BLUETOOTH.RTM. enabled. The identifier
or configuration number may of course represent other
functionalities. The test computer 18 may employ one or more masks
for determining the specific functionalities of the target ADC
device 16.
[0084] At 406, the test computer 18 identifies tests based on the
determined functionalities of the ADC device. At 408, the test
computer 18 determines if the identified tests are disabled, for
example, by querying one or more disabled lists 107, 115.
[0085] At 410, the test computer 18 executes identified ADC
executables, modules, or processes 103 against the target ADC
device 16, if the corresponding ADC device test is not identified
as being disabled. At 412, the test computer 18 provides interim
results formatted within a work list. Optionally at 414, the test
computer 18 may store the interim test results.
[0086] At 416, the test computer 18 determines whether there are
further ADC device tests. If there are further ADC device tests,
the test computer 18 increments to a next ADC device test at 418
and returns control to 410. If there are no further ADC device
tests, control passes to 420 where the test computer 18 provides
final results. The final results may be formatted within a work
list with failures emphasized. The method 400 terminates at
422.
[0087] FIG. 5 shows a method 424 of automatically determining
functionalities of target ADC devices 16. The method 424 may
implement the act 404 in the method 400 (FIG. 4).
[0088] At 426, the test computer 18 remotely queries a target ADC
device 16. The test computer 18 may provide queries in a similar
fashion to that described in U.S. patent application Ser. No.
11/130,792 filed May 17, 2005, Ser. No. 10/934,064 filed Sep. 3,
2004, and/or Ser. No. 09/240,108 filed Jan. 29, 1999.
[0089] FIG. 6 shows a method 428 of automatically determining
functionalities of target ADC devices. The method 428 may implement
the act 404 of method 400 (FIG. 4).
[0090] At 430, the test computer 18 queries a database of
relationships between an ADC device model identifier and
functionalities. The database may be stored at the ADC device or
ADC device platform, or may be stored elsewhere including at the
test computer 18 or associated database 24.
[0091] FIG. 7 shows a method 432 of identifying ADC device tests
based on determined functionalities. The method 432 may implement
the act 406 of method 400 (FIG. 4).
[0092] At 434, the test computer 18 identifies one or more ADC
device tests 103, 111 at one or more network locations 102, 110
based on one or more keywords. The keywords may describe a
functionality or structure that is tested by the ADC device test
103, 111. For example, the keyword may be "Data Collection",
indicating an ADC device test for testing generic data collection
functions and structures. For example, the keyword maybe "1D
Symbology", indicating an ADC device test that tests
one-dimensional or barcode symbologies. For example, the keyword
may be "93i", indicating an ADC device test that tests a particular
machine-readable symbology for testing. As other examples, keywords
may include "Network", "DHCP Enabled", "User Defined Symbology
Identifier" or "UDSI" to name a few.
[0093] FIG. 8 shows a method 440 of identifying tests at network
locations based on keywords. The method 440 may implement the act
434 of method 432 (FIG. 7).
[0094] At 442, the test computer 18 identifies or locates a first
location on the network 17. At 444, the test computer 18 discovers
all dynamically linked libraries (DLLs) at the first location. At
446, the test computer 18 loads the first DLL. At 448, the test
computer 18 determines whether the loaded DLL has test case
attributes. If the DLL has test case attributes, at 450, the test
computer system 18 gets the test case attribute name.
[0095] At 452, the test computer 18 gets all keywords associated
with the test case. At 454, the test computer 18 determines whether
there are any more test case attributes. If there are additional
test case attributes, control returns to 450. If there are no more
test case attributes, control passes to 456.
[0096] At 456, the test computer 18 determines whether there are
additional DLLs. If there are additional DLLs, the test computer 18
loads the next DLL at 458, and returns control to 448. If there are
no more DLLs, control passes to 460.
[0097] At 460, the test computer 18 determines if there are any
more network locations to check. If there are further network
locations to check, the test computer 18 gets the next test case
location and passes control back to 444. If there are no more
network locations to check, control passes to 464, with the
discovery process completed.
[0098] FIG. 9 shows a method 470 of determining if an identified
test is disabled. The method 470 may implement the act 408 of the
method 400 (FIG. 4).
[0099] At 472, the test computer 18 queries a global set of test
disablement information 107 or 115 stored on at least one network
location 106 or 114. The set of test disablement information 107 or
115 may identify specific ADC device tests 103, 111 that are
temporarily or permanently disabled. Thus, ADC device tests 103,
111 that test the disabled functionality or structure may be
temporarily or permanently disabled. This prevents running an ADC
device test 103, 111 where an existing problem is known and it is
known that the ADC device test 103, 111 will fail. This approach
may be particularly useful where a known problem is being
addressed, and would otherwise interfere with testing of other
functionality or structure. Having a global set of test disablement
information 107 or 115 may make testing more efficient since known
problems can be addressed globally.
[0100] FIG. 10 shows a method 474 of determining if identified ADC
device tests 103, 111 are disabled. The method 474 may implement
the act 408 of method 400 (FIG. 4).
[0101] At 476, the test computer 18 queries a global set of test
disablement information stored on at least one network location
based on keyword. The set of test disablement information 107 or
115 may identify keywords of ADC device tests that are disabled.
Thus, ADC device tests 103, 111 that have the same keywords may be
temporarily or permanently disabled. As discussed above, this
prevents running an ADC device test 103, 111 where an existing
problem is known and it is known that the ADC device test 103, 111
will fail.
[0102] FIG. 11 shows a method 478 of creating sets of ADC devices
tests or work lists, according to one illustrated embodiment.
[0103] At 480, information identifying one or more ADC device tests
103, 111 to be performed is stored as a work list. The work list
may be stored at a remote work list location 104 or at a local work
list location 112. The work list may identify one or more ADC
device tests 103, 111, an order of the ADC device tests 103 111
within the work list, and/or a number of times each of the ADC
device tests 103, 111 is to be performed. The work list may also
set parameters or other values for one or more of the ADC device
tests 103, 111 or the target ADC device 16.
[0104] Storing of the work list(s) may be performed at various
points within the method 400 (FIG. 4). Alternatively, or
additionally, storing the work list(s) may be performed at one or
more points within the method 440 (FIG. 8).
[0105] FIG. 12 shows a method of identifying and executing ADC
device tests according to another illustrated embodiment.
[0106] The method 500 may start at 502, for example, in response to
a user input or signal from a test scheduler.
[0107] At 504, the test computer 18 receives one or more keywords
indicative of a functionality or structure of an ADC device 16. At
506, the test computer 18 searches the network 17 for ADC device
tests 103, 111 based on the received keyword.
[0108] At 508, the test computer 18 determines if the identified
ADC device tests 103, 111 are identified as disabled on one or more
disabled lists 107, 115.
[0109] At 510, the test computer 18 determines whether identified
ADC device tests 103, 111 are duplicate instances of one another.
Duplicate instance may, for example, occur where an ADC device test
103, 111 has two keywords, both of which are part of a work list.
In other situations, the same ADC device test 103, 111 may be
intentionally invoked a multiple number of times. At 512, the test
computer 18 determines whether duplicate instances of identified
ADC device tests result from two different keywords. At 514, the
test computer 18 removes unintentional duplicate instances of the
duplicated identified ADC device tests, if any.
[0110] At 516, the test computer 18 executes the identified ADC
device tests 103, 111 that are not indicated as being disabled and
are not unintentional duplicates against the target ADC device. At
518, the test computer 18 stores results from the execution of the
tests. The method 500 terminates at 520.
[0111] FIG. 13 shows a method 530 of searching the network for ADC
device tests based on received keywords, according to one
illustrated embodiment. The method 530 may implement the act 506 of
method 500 (FIG. 12).
[0112] In particular, the test computer 18 searches directories of
computing systems on the network 17 at 532. The test computer 18
may search the directories for DLLs having attributes with keywords
that match the keywords in a work list or other query for an ADC
device test 103, 111.
[0113] FIG. 14 shows a method 600 of discovering and executing ADC
device tests according to one illustrated embodiment.
[0114] The method 600 may start at 602, for example, in response to
a user input or signal from a test scheduler. At 604, the test
computer 18 discovers existing ADC device tests 103, 111 on the
network 17. At 606, the test computer 18 filters ADC device tests
103, 111 by keyword(s). At 608, the test computer 18 runs the ADC
device tests 103 111 that remain against a target ADC device 16.
The method 600 terminates at 610.
[0115] When crating an ADC device test 103, 111, the developer adds
the name and keywords as attributes. For example:
TABLE-US-00001 [EastTestCase ( "First Sample Function", "keyword1",
"keyword2")] public bool TestCaseFuctnion1 (EastTestCaseHelper
etcHelper) { // ... }
where the first string in the EastTestCase attribute is the name of
the test, and every string after the name is a keyword. All
functionality for communicating, logging results, etc. are
contained in the EastTestCaseHelper object, which is passed into
the executable, module or process.
[0116] FIG. 15 shows a method 620 of updating an ADC device test
attribute, according to one illustrated embodiment.
[0117] At 622, the test computer 18, or another computing system,
adds a new keyword to an existing ADC device test 103, 111. For
example, the new keyword may be added to an attribute list of a DLL
or other executable, module or process that implements the ADC
device test 103, 111. The new keyword may be indicative of a new
functionality and/or new structure.
[0118] FIG. 16 shows a method 700 of defining a set of tests or
work lists to be executed, and of executing the same, according to
one illustrated embodiment.
[0119] The method may start at 702, for example, in response to a
user input. At 704, the test computer 18 forms a first set of data
or work list identifying one or more ADC device tests 103, 111.
Respective executables, modules, or process such as DLLs may be
stored at a number of different storage locations 102, 110 either
remotely from the test computer system 18 or the location of the
work list, or locally at the test computer system 18 or the
location of the work list.
[0120] At 706, a test computer 18 assigns at least a first
identifier to the first set of data. At 708, the test computer 18
receives a run test command including a first identifier. At 710,
the test computer 18 determines if the ADC device tests 103, 111
are disabled. The test computer 18 may, for example, consult one or
more locally or remotely stored disabled lists 115, 107,
respectively.
[0121] At 712, the test computer 18 may locate the non-disabled
executables, modules, or processes of the ADC device tests 103, 111
identified by the first set of data. At 714, the test computer 18
runs the non-disabled executables, modules or processes of the ADC
device tests 103, 111 identified by the first set of data, against
one or more target ADC devices 16.
[0122] At 716, the test computer 18 provides a set of interim
results. The interim results may be formatted within the framework
of the ADC device tests 103, 111 or work lists. At 718, the test
computer 18 determines whether there are further ADC device tests
103, 111 to be run. If there are further ADC device tests 103, 111
to be run, control returns to 714. If there are no further ADC
device tests 103, 111 to be run, control passes to 720.
[0123] At 720, the test computer 18 provides final results. The
final results may be formatted within the framework of the ADC
device tests 103, 111 or work lists. The failures may be
emphasized. For example, failures may be displayed with
highlighting, marqueeing, flashing, bold, and/or other outstanding
visual effects. The method 700 terminates at 722.
[0124] FIG. 17 shows method 730 of assigning at least a first
identifier to a set of data, according to one illustrated
embodiment. The method 730 may implement the act 706 of the method
700 (FIG. 16).
[0125] In particular, a first name is assigned to the first set of
data or work list at 732. The name may be indicative of a person or
an entity. For example, the name may identify a person who created
the work list, or a customer and/or department. The name may
indicate a group. For example, the name may indicate a particular
group of related ADC devices 16. The name may indicate a particular
group of ADC device tests 103, 111. Such a grouping may be of ADC
device tests 103, 111 that test a variety of generally unrelated
functions or structures, but which are specific to a subset of ADC
devices 16. Using names may simplify the tasks of creating,
locating, and/or maintaining sets of ADC device tests 103, 111.
[0126] FIG. 18 shows a method 740 of assigning at least a first
identifier to the first set of data, according to another
illustrated embodiment. The method 740 may implement the act 706 of
the method 700 (FIG. 16).
[0127] In particular, at least a first keyword indicative of a
functionality or structure tested by the ADC device test 103, 111
is assigned to the first set of data at 742. The keyword may take
any of a variety of forms, for example, such as the keywords
described above. Using keywords may simplify the tasks of creating,
locating, and/or maintaining sets of ADC device tests 103, 111.
[0128] FIG. 19 shows a work list 800, according to one illustrated
embodiment.
[0129] The work list 800 contains all of the ADC device tests 103,
111 (FIG. 3) that will be run against the target ADC device 16, and
an indication of how many times each individual ADC device test
103, 111 will be run or looped. The work list 800 may also provide
an indication of which ADC device test 103, 111 are enabled or
disable. An item of the work list 800 may identify an individual
ADC device test 103, 111, a keyword, a query, or a grouping. If a
keyword, query or grouping is looped or repeated, then all of the
ADC device tests 103, 111 identified by that keyword, query or
grouping are repeated. If a keyword, query or grouping is
identified as disabled, then all of the ADC device tests 103, 111
identified by that keyword, query or grouping are disabled.
[0130] The above description of illustrated embodiments, including
what is described in the Abstract, is not intended to be exhaustive
or to limit the embodiments to the precise forms disclosed.
Although specific embodiments of and examples are described herein
for illustrative purposes, various equivalent modifications can be
made without departing from the spirit and scope of the disclosure,
as will be recognized by those skilled in the relevant art. The
teachings provided herein of the various embodiments can be applied
to other ADC device tests systems, not necessarily the exemplary
networked ADC device test systems generally described above.
[0131] For instance, the foregoing detailed description has set
forth various embodiments of the devices and/or processes via the
use of block diagrams, schematics, and examples. Insofar as such
block diagrams, schematics, and examples contain one or more
functions and/or operations, it will be understood by those skilled
in the art that each function and/or operation within such block
diagrams, flowcharts, or examples can be implemented, individually
and/or collectively, by a wide range of hardware, software,
firmware, or virtually any combination thereof. In one embodiment,
the present subject matter may be implemented via Application
Specific Integrated Circuits (ASICs). However, those skilled in the
art will recognize that the embodiments disclosed herein, in whole
or in part, can be equivalently implemented in standard integrated
circuits, as one or more computer programs running on one or more
computers (e.g., as one or more programs running on one or more
computer systems), as one or more programs running on one or more
controllers (e.g., microcontrollers) as one or more programs
running on one or more processors (e.g., microprocessors), as
firmware, or as virtually any combination thereof, and that
designing the circuitry and/or writing the code for the software
and or firmware would be well within the skill of one of ordinary
skill in the art in light of this disclosure.
[0132] In addition, those skilled in the art will appreciate that
the mechanisms of taught herein are capable of being distributed as
a program product in a variety of forms, and that an illustrative
embodiment applies equally regardless of the particular type of
signal bearing media used to actually carry out the distribution.
Examples of signal bearing media include, but are not limited to,
the following: recordable type media such as floppy disks, hard
disk drives, CD ROMs, digital tape, and computer memory; and
transmission type media such as digital and analog communication
links using TDM or IP based communication links (e.g., packet
links).
[0133] The various embodiments described above can be combined to
provide further embodiments. All of the U.S. patents, U.S. patent
application publications, U.S. patent applications, foreign
patents, foreign patent applications and non-patent publications
referred to in this specification and/or listed in the Application
Data Sheet, including but not limited to U.S. patent application
Ser. No. 11/130,792 filed May 17, 2005, Ser. No. 10/934,064 filed
Sep. 3, 2004, and/or Ser. No. 09/240,108 filed Jan. 29, 1999 are
incorporated herein by reference, in their entirety. Aspects of the
embodiments can be modified, if necessary, to employ systems,
circuits, and concepts of the various patents, applications, and
publications to provide yet further embodiments.
[0134] These and other changes can be made to the embodiments in
light of the above-detailed description. In general, in the
following claims, the terms used should not be construed to limit
the claims to the specific embodiments disclosed in the
specification and the claims, but should be construed to include
all possible embodiments along with the full scope of equivalents
to which such claims are entitled. Accordingly, the claims are not
limited by the disclosure.
* * * * *