Software Reliability Growth Models with Log-logistic Testing-Effort Function: A Comparative Study

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Provided by: International Journal of Computer Applications
Topic: Software
Format: PDF
Software reliability growth model is one of the basic techniques to assess software reliability quantitatively and it provides the essential information for software development activities. In this paper, the authors compare the predictive capability of popular Software Reliability Growth Models (SRGM), such as exponential growth, delayed S-shaped growth and inflection S-shaped growth models. They first review the log logistic testing-effort function and also discuss exponential type and S-shaped types SRGM with log-logistic testing effort. They analyze the real data applications and compare the predictive capability of these SRGM.
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