By Jian Zhang

ISBN-10: 3662434288

ISBN-13: 9783662434284

ISBN-10: 3662434296

ISBN-13: 9783662434291

This publication reports the cutting-edge in combinatorial checking out, with specific emphasis at the automated iteration of try out facts. It describes the main universal ways during this region - together with algebraic development, grasping tools, evolutionary computation, constraint fixing and optimization - and explains significant algorithms with examples. furthermore, the publication lists a couple of try out iteration instruments, in addition to benchmarks and functions. Addressing a multidisciplinary subject, will probably 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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34(5), 633–650 (2008) 10. : Pairwise testing in the real world: practical extensions to test-case scenarios. In: Proceedings of the 24th Pacific Northwest Software Quality Conference (PNSQC’06), pp. 419–430 (2006) 11. : Automating test case generation for the new generation mission software system. In: Proceedings of the IEEE Aerospace Conference, vol. 1, pp. 431–443 (2000) 12. : Cascade: a test generation tool for combinatorial testing. In: Proceedings of the IEEE Sixth International Conference on Software Testing, Verification and Validation Workshops (ICSTW’13), pp.

J. Res. Natl. Inst. Stand. Technol. 113(5), 287–297 (2008) 3. : In-parameter-order: a test generation strategy for pair-wise testing. In: Proceedings of the 3rd IEEE International Symposium on High-Assurance Systems Engineering (HASE’98), IEEE Computer Society, pp. 254–261 (1998) 4. : IPOG: A general strategy for t-way software testing. In: Proceedings of the 14th Annual IEEE International Conference and Workshops on the Engineering of Computer-Based Systems (ECBS’07), IEEE, pp. 549– 556 (2007) 5.

1) Now we translate the problem of generating each test case into a PBO problem in the following way: • For each parameter p and one of its values v, we use a variable A( p,v) , which is true if and only if parameter p takes value v. • For each target combination σ , we use a variable Bσ , which is true if and only if σ is covered by the test case. • For each parameter p, suppose its value domain is {v1 , v2 , . . , vsi }. The parameter can take exactly one value. 2) • For each combination σ = {( pi1 , vi1 ), ( pi2 , vi2 ), .

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