Evaluating four white-box test coverage methodologies

This paper presents an illustrative study aimed at evaluating the effectiveness of four white-box test coverage techniques. In the study, an experimental design was considered which was used to evaluate the chosen testing techniques. The evaluation criteria were determined both in terms of the ability to detect faults and the number of test cases required. Faults were seeded artificially into the program and several faulty-versions of programs (mutants) were generated taking help of mutation operators. Test case execution and coverage measurements were done with the help of two testing tools, Cantata and GCT. Separate regression models relating coverage and effectiveness (fault detection ability and number of test cases required) are developed. These models can be helpful for determining test effectiveness when the coverage levels are known in a problem domain.