Automatically performing weak mutation with the aid of symbolic execution, concolic testing and search-based testing
Author:
Publisher
Springer Science and Business Media LLC
Subject
Safety, Risk, Reliability and Quality,Software
Link
http://link.springer.com/content/pdf/10.1007/s11219-011-9142-y.pdf
Reference43 articles.
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3. Andrews, J. H., Briand, L. C., Labiche, Y., & Namin, A. S. (2006). Using mutation analysis for assessing and comparing testing coverage criteria. IEEE Transaction on Software Engineering, 32(8), 608–624. doi: 10.1109/TSE.2006.83 .
4. Ayari, K., Bouktif, S., & Antoniol, G. (2007). Automatic mutation test input data generation via ant colony. In Proceedings of the 9th annual conference on Genetic and evolutionary computation, London, England (pp. 1074–1081). 1277172: ACM. doi: 10.1145/1276958.1277172 .
5. Baluda, M., Braione, P., Denaro, G., & Pezzè, M. (2010). Structural coverage of feasible code. In Proceedings of the 5th workshop on automation of software test, Cape Town, South Africa (pp. 59–66). 1808275: ACM. doi: 10.1145/1808266.1808275 .
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