Evaluation on the Reliability Attributes of Finite Failure NHPP Software Reliability Model Based on Pareto and Erlang Lifetime Distribution

Min, Kyung-il; 교수, 남서울대학교 보건행정학과

doi:10.22678/jic.2020.18.3.019

Cited by 1 publication

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“…It was suggested in 16 to use an SRGM that relied on the Gaussian distribution. Yang 17 studied and evaluated the durability properties based on the Weibull lifespan distribution using the NHPP software reliability model. Yang 18 also provided software development cost and release time performance characteristics centered on exponential distribution characteristics.…”

Section: Introductionmentioning

confidence: 99%

An updated software reliability model using the shanker model and failure data

Shafiq,

Sindhu,

Lone

et al. 2024

Quality & Reliability Eng

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Software developers' goal is to develop reliable and superior software. Due to the fact that software errors frequently generate large societal or financial losses, software reliability is essential. Software reliability growth models are a widely used technique for software reliability assessment. This study examines various nonhomogeneous Poisson process models with the newly developed software reliability distribution and evaluates the unknown model parameters based on frequentist and Bayesian methods of estimation. Finally, we conduct evaluations on real datasets using a variety of evaluation criteria to compare the results of previous software reliability growth models and show how the proposed model may be applied under both approaches in a practical setting. According to this study, the innovative model's mean square error, R2, , bias, predicted relative variation, Theil statistic, and mean error of prediction values show the lowest values under the Bayesian approach for data sets II to IV, and both approaches perform well for data set I. These implementation findings demonstrate the effectiveness of our specific approach based on our examination of failure data.

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Section: Introductionmentioning

confidence: 99%