NHPP-based software reliability growth modeling and optimal release policy for N-version programming system with increasing fault detection rate under imperfect debugging

DOI10.1007/S40010-018-0551-1zbMath1448.60178OpenAlexW2891648271WikidataQ110661194 ScholiaQ110661194MaRDI QIDQ2212674

J. B. Singh, Arunava Roy, Ankur Shukla, Subhashis Chatterjee

Publication date: 24 November 2020

Published in: Proceedings of the National Academy of Sciences, India. Section A. Physical Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s40010-018-0551-1

zbMATH Keywords

software reliabilityimperfect debuggingN-version programmingincreasing fault detection rate

Mathematics Subject Classification ID

Reliability, availability, maintenance, inspection in operations research (90B25) Fault detection; testing in circuits and networks (94C12) Applications of renewal theory (reliability, demand theory, etc.) (60K10) Estimation in survival analysis and censored data (62N02)

Cites Work

• Unnamed Item
• \(N\)-version programming with imperfect debugging
• Sensitivity analysis in optimal software release time problems.
• A cost model for N-version programming with imperfect debugging
• Contributions to Hardware and Software Reliability
• Exact maximum likelihood estimation using masked system data
• A software cost model with imperfect debugging, random life cycle and penalty cost
• Analysis of Software Reliability Modeling Considering Testing Compression Factor and Failure-to-Fault Relationship
• Software reliability growth model with change-point and effort control using a power function of the testing time

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