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Filtering by: Creator Wong, George Kaon Creator Gopinath, Rahul

Do Mutation Reduction Strategies Matter?

Creator:

Gopinath, Rahul, Alipour, Amin, Ahmed, Iftekhar, Jensen, Carlos, Groce, Alex, and Oregon State University. Department of Computer Science

Resource Type:

Technical Report

Full Text:

] proposed using only a small fraction of randomly selected mutants to evaluate a test suite. Wong and Mathur
Does Choice of Mutation Tool Matter?

Creator:

Gopinath, Rahul, Ahmed, Iftekhar, Amin Alipour, Mohammad, Jensen, Carlos, Groce, Alex, and Oregon State University. Department of Computer Science

Abstract:

Though mutation analysis is the primary means of evaluating the quality of test suites, though it suffers from inadequate standardization. Mutation analysis tools vary based on language, when mutants are generated (phase of compilation), and target audience. Mutation tools rarely implement the complete set of operators proposed in the literature,...

Resource Type:

Technical Report

Full Text:

investigated by Mathur [69], Wong et al. [70], [71], and Offutt et al. [72] using the Mothra [73] mutation
On the limits of mutation analysis

Creator:

Gopinath, Rahul

Abstract:

Mutation analysis is the gold standard for evaluating test-suite adequacy. It involves exhaustive seeding of all small faults in a program and evaluating the effectiveness of test suites in detecting these faults. Mutation analysis subsumes numerous structural coverage criteria, approximates fault detection capability of test suites, and the faults produced...

Resource Type:

Dissertation