Software Reliability Analysis of NASA Space Flight Software: A Practical Experience. [PDF]
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PERMMA: Enhancing parameter estimation of software reliability growth models: A comparative analysis of metaheuristic optimization algorithms. [PDF]
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Applying a system dynamics approach for decision-making in software testing projects. [PDF]
Li W, Fang CC.
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Analysis of incorporating modified Weibull model fault detection rate function into software reliability modeling. [PDF]
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A dynamic social relations model for clustered longitudinal dyadic data with continuous or ordinal responses. [PDF]
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A novel CRITIC‐TOPSIS approach for optimal selection of software reliability growth model (SRGM)
Quality and Reliability Engineering International, 2022AbstractVarious Software Reliability Growth Models (SRGMs) have been developed over last five decades to estimate the failure rate, software reliability and remaining number of faults in the software during testing phase of software development life cycle.
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DC-SRGM: Deep Cross-Project Software Reliability Growth Model
2019 IEEE International Symposium on Software Reliability Engineering Workshops (ISSREW), 2019Previous studies have suggested that software reliability growth models (SRGMs) for cross-project predictions are more practical for ongoing development projects. Several software reliability growth models (SRGMs) have been proposed based on various factors to measure the reliability and are helpful to indicate the number of remaining defects before ...
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Reliability engineering plays an important role to improve the software quality. Before delivering the software in the market, it is thoroughly checked and errors are removed. Software reliability growth models help the software industries to develop such software which is error free and reliable.
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Deep-Learning Software Reliability Model Using SRGM as Activation Function
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