A software reliability model incorporating fault removal efficiency and it’s release policy
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computational Mathematics,Statistics, Probability and Uncertainty,Statistics and Probability
Link
https://link.springer.com/content/pdf/10.1007/s00180-023-01430-9.pdf
Reference48 articles.
1. Aggarwal AG, Dhaka V, Nijhawan N (2017) Reliability analysis for multi-release open-source software systems with change point and exponentiated weibull fault reduction factor. Life Cycle Reliab Saf Eng 6:3–14. https://doi.org/10.1007/s41872-017-0001-0
2. Ahmad N, Bokhari M, Quadri S, Khan MG (2008) The exponentiated weibull software reliability growth model with various testing-efforts and optimal release policy: a performance analysis. Int J Qual Reliab Manag. https://doi.org/10.1108/02656710810846952
3. Chang IH, Pham H, Lee SW, Song KY (2014) A testing-coverage software reliability model with the uncertainty of operating environments. Int J Syst Sci: Op Logist 1(4):220–227. https://doi.org/10.1080/23302674.2014.970244
4. Chatterjee S, Shukla A (2019) A unified approach of testing coverage-based software reliability growth modelling with fault detection probability, imperfect debugging, and change point. J Softw: Evolut Process 31(3):2150. https://doi.org/10.1002/smr.2150
5. Chatterjee S, Shukla A, Pham H (2019) Modeling and analysis of software fault detectability and removability with time variant fault exposure ratio, fault removal efficiency, and change point. Proc Inst Mech Eng, Part O: J Risk Reliab 233(2):246–256. https://doi.org/10.1177/1748006X18772930
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