Download e-book for kindle: Automatic Generation of Combinatorial Test Data by Jian Zhang

By Jian Zhang

ISBN-10: 3662434288

ISBN-13: 9783662434284

ISBN-10: 3662434296

ISBN-13: 9783662434291

This publication reports the state of the art in combinatorial checking out, with specific emphasis at the automated new release of try facts. It describes the main widely used ways during this region - together with algebraic development, grasping tools, evolutionary computation, constraint fixing and optimization - and explains significant algorithms with examples. furthermore, the ebook lists a few try new release instruments, in addition to benchmarks and purposes. Addressing a multidisciplinary subject, it will likely be of specific curiosity to researchers and execs within the components of software program trying out, combinatorics, constraint fixing and evolutionary computation.

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Extra resources for Automatic Generation of Combinatorial Test Data

Example text

The two candidates are identical and cover 2 uncovered target combinations, and finally the first candidate is chosen. 5 Test suite generated by AETG { /////////////////////////// (1,1,-,-), /////////////////////////// (1,-,1,-), /////////////////////////// (1,-,-,1), /////////////////////////// (-,1,1,-), /////////////////////////// (-,1,-,1), /////////////////////////// (-,-,1,1), p1 p2 p3 p4 1 1 2 1 2 1 1 1 2 2 1 2 1 1 1 2 1 2 2 1 2 1 2 1 2 2 2 1 /////////////////////////// (1,2,-,-), /////////////////////////// (1,-,2,-), /////////////////////////// (1,-,-,2), /////////////////////////// (-,1,2,-), /////////////////////////// (-,1,-,2), (-,-,1,2), ///////////////////////// (2,1,-,-) ///////////////////////// (2,-,1,-), ///////////////////////// (2,-,-,1), ///////////////////////// (-,2,1,-), ///////////////////////// (-,2,-,1), (-,-,2,1), ///////////////////////// (2,2,-,-), /////////////////////////// (2,-,2,-), /////////////////////////// (2,-,-,2), /////////////////////////// (-,2,2,-), /////////////////////////// (-,2,-,2), ///////////////////////// (-,-,2,2) }.

For more details, see Chap. 5. The problem of generating a new test case can also be translated into logic-based optimization problem. In our CT test generation tool Cascade [12, 13], the problem is translated into a linear pseudo-Boolean optimization (PBO) problem. The linear pseudo-Boolean optimization problem is identical to the 0–1 integer programming problem, which has the following elements: • A set of Boolean variables, each of which takes the value of 0 or 1. • A set of linear pseudo-Boolean (PB) constraints specifying the restrictions the solutions should conform to.

Verification Reliab. 17(3), 159–182 (2007) 2. : A density-based greedy algorithm for higher strength covering arrays. Softw. Test. Verification Reliab. 19(1), 37–53 (2008) 3. : A framework of greedy methods for constructing interaction test suites. In: Proceedings of the International Conference on Software Engineering (ICSE), pp. 146–155 (2005) 4. : A Logic-Based Approach to Combinatorial Testing with Constraints. Tests and Proofs, pp. 66–83. Springer, Heidelberg (2008) 5. : Method and system for automatically generating efficient test cases for systems having interacting elements.

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Automatic Generation of Combinatorial Test Data by Jian Zhang

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