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Incorporating Generalized Modified Weibull TEF in to Software Reliability Growth Model and Analysis of Optimal Release Policy
Author(s) -
Shaik Mohammad Rafi,
K. Nageswara Rao,
Shaheda Akthar
Publication year - 2010
Publication title -
computer and information science
Language(s) - English
Resource type - Journals
eISSN - 1913-8997
pISSN - 1913-8989
DOI - 10.5539/cis.v3n2p145
Subject(s) - computer science , software quality , weibull distribution , reliability engineering , software release life cycle , reliability (semiconductor) , context (archaeology) , software , software reliability testing , process (computing) , software development , statistics , power (physics) , physics , operating system , mathematics , engineering , paleontology , quantum mechanics , biology , programming language

Software reliability is generally a key factor in software quality. Reliability is an essential ingredient in customer satisfaction. In software development process reliability conveys the information to managers to access the testing effort and time at which software release into the market. Large numbers of papers are published in this context. In this paper we proposed a software reliability growth model with generalized modified weibull testing effort. Performance application of proposed model is demonstrated through real datasets. The experimental results shown that the model gives an excellent performance compared to other models. We also discuss the optimal release time based on reliability requirement and cost criteria.

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