TESTING-COVERAGE DEPENDENT SOFTWARE RELIABILITY GROWTH MODELING
Shinji Inoue, Shigeru Yamada · International Journal of Reliability Quality and Safety Engineering · 2004
We discuss software reliability growth modeling considering with testing-coverage. There are several testing-coverage evaluation criteria for the testing thoroughness. As one of them, statement (or block) testing-coverage is measured as the fraction of the total number of statements that have been executed at least once by the test-cases. First, an alternative evaluation metric for the testing-coverage is proposed in this paper. And then, we develop a software reliability growth model by formulating the relationship between the alternative testing-coverage evaluation function and the number of detected faults. Finally, we show numerical examples for software reliability analysis based on the proposed model by using an actual data set.