On the Improvement of the Mutation Score Using Distinguishing Test Cases

Nica, Simona Alina

doi:10.1109/icst.2011.40

Cited by 3 publications

(1 citation statement)

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“…Thus, the mutant killing problem is converted to a constraint satisfaction problem [170]. Wotawa et al [174] and Nica [175] proposed formulating the original and mutant programs (one pair at a time) as a constraint system and use solvers to search for a solution that makes the two programs differ by at least one output value. Kurtz et al [169] adopted the same strategy in order to identify subsuming mutants.…”

Section: Static Constraint-based Test Generationmentioning

confidence: 99%

Mutation Testing Advances: An Analysis and Survey

Papadakis

Kintis

Zhang

et al. 2019

Advances in Computers

349

343

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Mutation testing realises the idea of using artificial defects to support testing activities. Mutation is typically used as a way to evaluate the adequacy of test suites, to guide the generation of test cases and to support experimentation.Mutation has reached a maturity phase and gradually gains popularity both in academia and in industry. This chapter presents a survey of recent advances, over the past decade, related to the fundamental problems of mutation testing and sets out the challenges and open problems for the future development of the method. It also collects advices on best practices related to the use of mutation in empirical studies of software testing. Thus, giving the reader a 'mini-handbook'-style roadmap for the application of mutation testing as experimental methodology.

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