Abstract
Software code complexity is a well-studied property to determine software component health. However, the existing code complexity metrics do not directly take into account the fault-proneness aspect of the code. We propose a metric called mutant density where we use mutation as a method to introduce artificial faults in code, and count the number of possible mutations per line. We show how this metric can be used to perform helpful analysis of real-life software projects.
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CITATION STYLE
Parsai, A., & Demeyer, S. (2020). Mutant Density: A Measure of Fault-Sensitive Complexity. In Proceedings - 2020 IEEE/ACM 42nd International Conference on Software Engineering Workshops, ICSEW 2020 (pp. 742–745). Association for Computing Machinery, Inc. https://doi.org/10.1145/3387940.3392210
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