Anand, AdarshDas, SubhrataAgarwal, MohiniYadavalli, Venkata S. Sarma2020-05-202020-05-202019Anand, A., Das, S., Agarwal, M. et al. 2019, 'Optimal scheduling policy for a multi-upgraded software system under fuzzy environment', Journal of Mathematical and Fundamental Sciences, vol. 51, no. 3, pp. 278-293.2337-5760 (print)2338-5510 (online)10.5614/j.math.fund.sci.2019.51.3.6http://hdl.handle.net/2263/74654Many reliability growth models related to the concept of multi upgradation have recently been proposed. This concept has helped software developers to develop a competitive edge over competitors by regularly introducing their software upgrades in the market at the optimal moment. The software reliability literature offers many different release-time policies, both under crisp and fuzzy environment. This paper presents a generic model of a multi-upgraded software system. The optimal scheduling policy for software under a fuzzy environment was determined. The proposed model was examined on a real-life failure data set of four software releases. The results obtained are encouraging.en© 2019 Published by ITB Journal Publisher. This work is licensed under a Creative Commons Attribution-NoDerivatives 4.0 International License.Fault removalMulti up-gradationTesting phaseFuzzy environmentRelease timeArticle