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Adarsh Anand
Department of Operational Research, University of Delhi, Delhi-110007
Astronomy Chemistry Earth & Planetary Sciences Mathematics Physics

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Optimal Scheduling Policy for a Multi-upgraded Software System under Fuzzy Environment Adarsh Anand; Subhrata Das; Mohini Agarwal; V.S.S. Yadavalli
Journal of Mathematical and Fundamental Sciences Vol. 51 No. 3 (2019)
Publisher : Institute for Research and Community Services (LPPM) ITB

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/j.math.fund.sci.2019.51.3.6

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.
Co-Authors Mohini Agarwal Subhrata Das V.S.S. Yadavalli