Redefining software reliability modeling: embracing fault-dependency, imperfect removal, and maximum fault considerations

Software reliability is a critical aspect of ensuring the quality and dependability of software systems. However, existing software reliability models often make assumptions that do not align with real-world scenarios, such as perfect fault removal and independent faults. In this paper, we address t...

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Published in:Quality engineering Vol. 36; no. 3; pp. 500 - 509
Main Authors: Samal, Umashankar, Kumar, Ajay
Format: Journal Article
Language:English
Published: Milwaukee Taylor & Francis 02.07.2024
Taylor & Francis Ltd
Subjects:
Fault detection
Faults
Goodness of fit
imperfect fault removal
mean value function
Modelling
non-homogeneous Poisson process
release planning
Reliability analysis
Software reliability
software reliability growth model
ISSN:0898-2112, 1532-4222
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Abstract Software reliability is a critical aspect of ensuring the quality and dependability of software systems. However, existing software reliability models often make assumptions that do not align with real-world scenarios, such as perfect fault removal and independent faults. In this paper, we address this gap by developing a software reliability model that considers fault-dependent detection, imperfect fault removal, and the maximum number of faults that may present in the system. By accounting for these factors, our proposed model aims to provide a more accurate representation of software reliability. We evaluate the effectiveness of our model by comparing it to existing models using three commonly used goodness-of-fit criteria. The results demonstrate the importance of incorporating these considerations in software reliability modeling and highlight the superiority of our approach in capturing the complexities associated with software faults. Additionally, this paper conducts an analysis of optimal release planning, which yields highly encouraging results for software managers and engineers. This analysis adds significant value to the existing literature, further emphasizing the practical relevance of our proposed model.
AbstractList Software reliability is a critical aspect of ensuring the quality and dependability of software systems. However, existing software reliability models often make assumptions that do not align with real-world scenarios, such as perfect fault removal and independent faults. In this paper, we address this gap by developing a software reliability model that considers fault-dependent detection, imperfect fault removal, and the maximum number of faults that may present in the system. By accounting for these factors, our proposed model aims to provide a more accurate representation of software reliability. We evaluate the effectiveness of our model by comparing it to existing models using three commonly used goodness-of-fit criteria. The results demonstrate the importance of incorporating these considerations in software reliability modeling and highlight the superiority of our approach in capturing the complexities associated with software faults. Additionally, this paper conducts an analysis of optimal release planning, which yields highly encouraging results for software managers and engineers. This analysis adds significant value to the existing literature, further emphasizing the practical relevance of our proposed model.
Author Samal, Umashankar
Kumar, Ajay
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SubjectTerms Fault detection
Faults
Goodness of fit
imperfect fault removal
mean value function
Modelling
non-homogeneous Poisson process
release planning
Reliability analysis
Software reliability
software reliability growth model
Title Redefining software reliability modeling: embracing fault-dependency, imperfect removal, and maximum fault considerations
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