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[Free] Microsoft - Pairwise Testing tool (PICT)

Functional Test
Author
tuiduong
Date
2011-03-08 03:11
Views
20150
Pairwise Independent Combinatorial Testing tool (PICT) by Microsoft

Overview

The Pairwise Independent
Combinatorial Testing tool (PICT) can help you efficiently design test cases and
test configurations for software systems. With PICT, you can generate tests that
are more effective than manually generated tests and create them in a fraction
of the time required by hands-on test case design. PICT generates a compact set
of parameter value choices that represent the test cases you should use to get
comprehensive combinatorial coverage of your parameters.


Using PICT to Combine Test Case
Parameters

PICT runs as a command line tool.
You prepare a model file detailing the parameters of the interface (or set of
configurations, or data) you want to test. PICT generates a compact set of
parameter value choices that represent the test cases you should use to get
comprehensive combinatorial coverage of your parameters.

 

For instance, if you wish to
create a test suite for partition and volume creation, the domain can be
described by the following parameters: Type, Size, File
system
, Format method, Cluster size, and Compression.
Each parameter has a limited number of possible values, each of which is
determined by its nature (for example, Compression can only be On or Off) or as an equivalence partition (such
as Size).

 


Type:          Primary, Logical, Single, Span, Stripe, Mirror,
RAID-5

Size:          10, 100, 500, 1000, 5000, 10000, 40000

Format method: quick, slow

File system:   FAT, FAT32, NTFS

Cluster size:  512, 1024, 2048, 4096, 8192, 16384, 32768, 65536

Compression:   on, off

 

There are over 4,700 possible
combinations of these values. It would be very difficult to test all of them in
a reasonable amount of time. Research shows that testing all
pairs of possible values provides
very good coverage and the number of
test cases will remain manageable. For example, {Primary, FAT} is one
pair and {10, slow} is another; a single test
case can cover many pairs.

 

For the set of parameters shown
above, PICT will produce 60 test cases


Total 14

  • 2010-05-08 13:35

    Thanks..MS made this tool...good..


  • 2010-05-09 10:35

    Thanks for sharing


  • 2010-05-12 01:19

    This is great, I got many concern on this technique, Hope the tool help much, Thanks.
    Ah, do we need license to use this soft? You knew, MS never give something free!


    • 2010-05-14 18:15

      I've used, and it's enough to use for study but not for commercial testing activity...:( , you know MS..


  • 2010-09-09 15:43

    thanks


  • 2010-09-21 19:14

    Is it the same as "Orthogonal Array" approach as per Taguchi?  There is a opensource tool Perl based called AllPairs from James Bach www.satisfice.com.


    • 2010-09-21 19:18

      Orthogonal Array is an extend of Pairwise.
      This Tool also can calculate OA and Pairwise like Allpairs.


  • 2010-12-07 16:30

    For some excellent explanations to questions like "what is Orthogonal Array-based Testing?", "what is pairwise testing?", "how are they different?", and "how do I implement Orthogonal testing?", I would recommend 


    http://www.combinatorialtesting.com

    Specifically, if you click on the "Clear Introductions" tab, it has some very clear explanations of what Orthogonal Array-based testing is, how it differs from other combinatorial testing techniques such as pairwise, and it describes a few detailed case studies in which people have implemented OA plans.

    OA can be thought of as "pair-wise plus". OA-based test plans will have 100% coverage of all possible dual-mode faults (which is similar to pairwise), but OA plans tend to be a bit longer than pairwise plans because OA plans, unlike pairwise, also have an added requirement, namely that, all the parameter settings are spread about the test domain in what is called "uniform distribution".


  • 2011-01-13 15:31

    Thanks for sharing


  • 2012-03-27 00:26

    the shared URL can't be accessed


  • 2012-11-22 19:57

    thanks for sharing


  • 2013-03-19 17:17

    thanks for sharing...


  • 2014-06-21 10:11

    thanks


  • 2014-12-16 16:11

    Let me check it and see beneficial it is


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