International Journal of Computer Science & Network Security

International Journal of Computer Science & Network Security (국제컴퓨터통신보호논문지학회)
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A New Methodology for Software Reliability based on Statistical Modeling

  • Avinash S (Centurion university, Stream of Computer Science and Engineering) ;
  • Y.Srinivas (Centurion university, Stream of Computer Science and Engineering) ;
  • P.Annan naidu (Centurion university, Stream of Computer Science and Engineering)
  • Received : 2023.09.05
  • Published : 2023.09.30
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Abstract

Reliability is one of the computable quality features of the software. To assess the reliability the software reliability growth models(SRGMS) are used at different test times based on statistical learning models. In all situations, Tradational time-based SRGMS may not be enough, and such models cannot recognize errors in small and medium sized applications.Numerous traditional reliability measures are used to test software errors during application development and testing. In the software testing and maintenance phase, however, new errors are taken into consideration in real time in order to decide the reliability estimate. In this article, we suggest using the Weibull model as a computational approach to eradicate the problem of software reliability modeling. In the suggested model, a new distribution model is suggested to improve the reliability estimation method. We compute the model developed and stabilize its efficiency with other popular software reliability growth models from the research publication. Our assessment results show that the proposed Model is worthier to S-shaped Yamada, Generalized Poisson, NHPP.

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References

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