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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.
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Inoue et al. (2004) studied this question.
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