NHPP-Based Software Reliability Growth Modeling and Optimal Release Policy for N-Version Programming System with Increasing Fault Detection Rate under Imperfect Debugging

2018 ◽  
Vol 90 (1) ◽  
pp. 11-26
Author(s):  
S. Chatterjee ◽  
J. B. Singh ◽  
Arunava Roy ◽  
Ankur Shukla
Keyword(s):  
Fault Detection ◽  
Software Reliability ◽  
Detection Rate ◽  
Growth Modeling ◽  
Programming System ◽  
Reliability Growth ◽  
Imperfect Debugging ◽  
Release Policy ◽  
Software Reliability Growth ◽  
Optimal Release Policy

A Family of Software Reliability Models with Bathtub-Shaped Fault Detection Rate

2021 ◽  
pp. 2150034
Author(s):  
Maskura Nafreen ◽  
Lance Fiondella
Keyword(s):  
Fault Detection ◽  
Software Reliability ◽  
Detection Rate ◽  
Predictive Accuracy ◽  
Growth Models ◽  
Reliability Growth ◽  
Statistical Measures ◽  
Software Reliability Growth Models ◽  
Classical Models ◽  
Software Reliability Growth

Researchers have proposed several software reliability growth models, many of which possess complex parametric forms. In practice, software reliability growth models should exhibit a balance between predictive accuracy and other statistical measures of goodness of fit, yet past studies have not always performed such balanced assessment. This paper proposes a framework for software reliability growth models possessing a bathtub-shaped fault detection rate and derives stable and efficient expectation conditional maximization algorithms to enable the fitting of these models. The stages of the bathtub are interpreted in the context of the software testing process. The illustrations compare multiple bathtub-shaped and reduced model forms, including classical models with respect to predictive and information theoretic measures. The results indicate that software reliability growth models possessing a bathtub-shaped fault detection rate outperformed classical models on both types of measures. The proposed framework and models may therefore be a practical compromise between model complexity and predictive accuracy.

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