/pict

Pairwise Independent Combinatorial Tool

Primary LanguageC++OtherNOASSERTION

Pairwise Independent Combinatorial Testing

PICT generates test cases and test configurations. With PICT, you can generate tests that are more effective than manually generated tests and in a fraction of the time required by hands-on test case design.

PICT runs as a command line tool. 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 by the equivalence partitioning (such as Size).

Type:          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 thousands of possible combinations of these values. It would be difficult to test all of them in a reasonable amount of time. Instead, we settle on testing all possible pairs of values. For example, {Single, FAT} is one pair, {10, Slow} is another; one test case can cover many pairs. Research shows that testing all pairs is an effective alternative to exhaustive testing and much less costly. It will provide very good coverage and the number of test cases will remain manageable.

#More information

See doc/pict.md for detailed documentation on PICT and http://pairwise.org has details on this testing methododology.

#Contributing

PICT consists of three projects:

  • The generator engine,
  • Console PICT.EXE client of the engine,
  • A sample of how the engine API can be used in other projects.

##Building and testing on Windows with MsBuild Use pict.sln to open the solution in Visual Studio 2015. You will need VC++ tools installed.

PICT uses MsBuild for building. _build.cmd script in the root directory will build both Debug and Release from the command-line (relies on compilers brought in by VS2015).

The test folder contains all that is necessary to test PICT. You need Perl to run the tests. _test.cmd is the script that does it all.

The test script produces a log: dbg.log or rel.log for the Debug and Release bits respectively. Compare them with their committed baselines and make sure all the differences can be explained.

There are tests which randomize output which typically make it different on each run. These results should be masked in the baseline but currently aren't.

##Building with clang++ on Linux, OS/X, *BSD, etc Install clang through your package manager (most systems), Xcode (OS/X), or from the LLVM website. On Linux, you also need to install recent libstdc++ offered by gcc 5.

Run make to build the pict binary.

Run make test to run the tests as described above (requires Perl).