Cost analysis of enhanced software reliability model with Weibull testing effort function using simulated annealing

In continuation of efforts to improve software reliability assessment, this paper proposed an enhanced Software Reliability Growth Model (SRGM) by incorporating a Weibull testing effort function. The model has integrated multiple testing coverages and change point in imperfect debugging environment to reflect shifts in testing dynamics. To validate the model comparative study has been done using two real-world datasets. For the comparison mean squared error, prediction ratio risk, and predictive power have been used. The model has been coupled with a cost-based software release framework that account for post-release risk, and strategy change expenses. Simulated Annealing optimization technique has been employed to minimize the total cost while satisfying reliability constraints. The results demonstrated that the proposed study not only enhances reliability assessment but also facilitate cost-effective release decision-making compared to existing literature. The proposed work may be extended by considering multiple change points in the future.

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Publication Details

Journal
Scientific Reports
Published
2025-11-25
DOI
https://doi.org/10.1038/s41598-025-25841-4
Citations
1
Primary Topic
Software Reliability and Analysis Research
Type
article
Field-Weighted Citation Impact
2.31
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article

Cost analysis of enhanced software reliability model with Weibull testing effort function using simulated annealing

Bhoopendra Pachauri, Komee
1 citations
Scientific Reports
Software Reliability and Analysis Research
2.31
article

Cost analysis of enhanced software reliability model with Weibull testing effort function using simulated annealing

Bhoopendra Pachauri, Komee
article en
1 citations

Abstract

In continuation of efforts to improve software reliability assessment, this paper proposed an enhanced Software Reliability Growth Model (SRGM) by incorporating a Weibull testing effort function. The model has integrated multiple testing coverages and change point in imperfect debugging environment to reflect shifts in testing dynamics. To validate the model comparative study has been done using two real-world datasets. For the comparison mean squared error, prediction ratio risk, and predictive power have been used. The model has been coupled with a cost-based software release framework that account for post-release risk, and strategy change expenses. Simulated Annealing optimization technique has been employed to minimize the total cost while satisfying reliability constraints. The results demonstrated that the proposed study not only enhances reliability assessment but also facilitate cost-effective release decision-making compared to existing literature. The proposed work may be extended by considering multiple change points in the future.

Scientific ReportsVol. 15(1)
Manipal University Jaipur
Openalex Percentile: Top 9%
Software Reliability and Analysis Research
2.31
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Cost analysis of enhanced software reliability model with Weibull testing effort function using simulated annealing — Bhoopendra Pachauri, Komee · Scientific Reports (2025) | TGRS Research Map | TGRS