Abstract
Since the introduction of the concept of Software Reliability, several Software Reliability Growth Models (SRGM) have been developed to assess the growth of reliability during the testing phase. But little seems to have been done to categorize the faults on the basis of their severity and complexity. In this paper we first develop a discrete time SRGM to describe and predict the error removal phenomenon then use it to develop fault categories followed by size of each category. Three different forms of the discrete model are given and their equivalence is proved. It is also shown how the continuous time models can de derived.
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Kapur, P.K., Gupta, A. & Singh, O. On Discrete Software Reliability Growth Model & Categorization of Faults. OPSEARCH 42, 340–354 (2005). https://doi.org/10.1007/BF03398747
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DOI: https://doi.org/10.1007/BF03398747