模糊环境下多升级软件系统的最优调度策略

IF 0.5 Q4 MULTIDISCIPLINARY SCIENCES

Journal of Mathematical and Fundamental Sciences Pub Date : 2019-12-31 DOI:10.5614/j.math.fund.sci.2019.51.3.6

Adarsh Anand, Subhrata Das, Mohini Agarwal, V. Yadavalli

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引用次数: 2

摘要

近年来，人们提出了许多与多次升级概念相关的可靠性增长模型。这个概念帮助软件开发人员在最佳时机定期向市场推出软件升级，从而在竞争中获得竞争优势。软件可靠性文献提供了许多不同的发布时间策略，包括清晰环境和模糊环境。本文提出了一个多升级软件系统的通用模型。确定了模糊环境下软件的最优调度策略。提出的模型在四个软件版本的实际故障数据集上进行了检验。所取得的结果令人鼓舞。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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

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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来源期刊

Journal of Mathematical and Fundamental Sciences MULTIDISCIPLINARY SCIENCES-

CiteScore

1.30

自引率

0.00%

发文量

审稿时长

24 weeks

期刊介绍： Journal of Mathematical and Fundamental Sciences welcomes full research articles in the area of Mathematics and Natural Sciences from the following subject areas: Astronomy, Chemistry, Earth Sciences (Geodesy, Geology, Geophysics, Oceanography, Meteorology), Life Sciences (Agriculture, Biochemistry, Biology, Health Sciences, Medical Sciences, Pharmacy), Mathematics, Physics, and Statistics. New submissions of mathematics articles starting in January 2020 are required to focus on applied mathematics with real relevance to the field of natural sciences. Authors are invited to submit articles that have not been published previously and are not under consideration elsewhere.