MOTCP: A tool for the prioritization of test cases based on a sorting genetic algorithm and Latent Semantic Indexing

Test prioritization techniques can be used to determine test case ordering and early discover faults in source code. Several of these techniques exploit a single objective function, e.g., code or requirements coverage. In this tool demo paper, we present MOTCP, a software tool that implements a multi-objective test prioritization technique based on the information related to the code and requirements coverage, as well as the execution cost of each test case. To establish users' and system requirements coverage, the MOTCP uses Latent Semantic Indexing to recover traceability links among application source code and requirements specifications. The test case ordering is then obtained by applying a non-dominated sorting genetic algorithm.