Optimal Scheduling Policy for a Multi-upgraded Software System under Fuzzy Environment

Adarsh Anand (Department of Operational Research, University of Delhi, Delhi-110007)
Subhrata Das (Department of Operational Research, University of Delhi, Delhi-110007)
Mohini Agarwal (Amity School of Business, Amity University Uttar Pradesh, Noida, UP-201313)
V.S.S. Yadavalli (Department of Industrial and Systems Engineering, University of Pretoria)

Journal of Mathematical and Fundamental Sciences
Vol. 51 No. 3 (2019)

Many reliability growth models related to the concept of multi-upgrading 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.