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

Adarsh Anand | Zendy; Subhrata Das | Zendy; Mohini Agarwal | Zendy; V.S.S. Yadavalli | Zendy

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

Author(s) -

Adarsh Anand,

Subhrata Das,

Mohini Agarwal,

V.S.S. Yadavalli

Publication year - 2019

Publication title -

journal of mathematical and fundamental sciences

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.216

H-Index - 12

eISSN - 2337-5760

pISSN - 2338-5510

DOI - 10.5614/j.math.fund.sci.2019.51.3.6

Subject(s) - computer science , fuzzy logic , software , software sizing , software system , software quality , software construction , scheduling (production processes) , software reliability testing , reliability engineering , software development , engineering , operating system , artificial intelligence , operations management

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.

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