Abstract
Software testing is a critical phase of the software development life cycle. The most challenging aspect of software testing is designing test cases within a constrained software development schedule. There is no assurance that all the test sets will be able to reveal flaws. Therefore, there is a need for a method that allows us to evaluate the effectiveness of test cases. Mutation testing is one such type of testing technique that can help in assessing the effectiveness of test cases. This paper is a tool demo paper; authors introduce a prototype of a tool that investigates selective generation of mutants and reduction thereby using filtering mechanism to reduce the number of executed mutants. The tool proposed in the paper is primarily for C# source code and provides a baseline for an extension for other programming languages as the researcher has designed the Lexical analyser in such a way that it can support all the programming languages.
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Thapar, R., Madan, M. (2023). Convalesce Optimisation Using a Customizable Mutation Testing Tool. In: Swaroop, A., Kansal, V., Fortino, G., Hassanien, A.E. (eds) Proceedings of Fourth Doctoral Symposium on Computational Intelligence . DoSCI 2023. Lecture Notes in Networks and Systems, vol 726. Springer, Singapore. https://doi.org/10.1007/978-981-99-3716-5_21
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