Optimal Scheduling Policy for a Multi-upgraded Software System under Fuzzy Environment
Adarsh Ananda, Subhrata Dasa, Mohini Agarwalb, V.S.S. Yadavallic
- aDepartment of Operational Research, University of Delhi, Delhi-110007
- bAmity School of Business, Amity University Uttar Pradesh, Noida, UP-201313
- cDepartment of Industrial and Systems Engineering, University of Pretoria
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Abstract
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.
TL;DRThis paper presents a generic model of a multi-upgraded software system, and the optimal scheduling policy for software under a fuzzy environment was determined. (Semantic Scholar)