Software reliability: measurement, prediction, application
Software reliability: measurement, prediction, application
Software testing and reliability
Handbook of software reliability engineering
A binomial software reliability model based on coverage of structural testing criteria
Empirical Software Engineering
On guiding the augmentation of an automated test suite via mutation analysis
Empirical Software Engineering
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The estimation of reliability of modules using code coverage is motivated by a two-phase method for estimating the quality of software using static structure and predicted quality estimates of component modules. A pilot experiment was conducted to investigate the accuracy of reliability estimates obtained from code coverage. The code coverage was measured using random testing. Three parameters that were varied are the size of programs, variations in operational profile, and the fault density. Results from this experiment were analyzed to understand how the accuracy of reliability estimates is affected by: (1) variation in fault density and (2) the size of programs. The results indicate that the degree of correlation between coverage and reliability has an inverse relationship with the fault density, and a direct relationship with program size.