基于模糊逻辑的软件开发模型的提出

R. Raj, R. Mittal, S. Gupta, T. Choudhury
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引用次数: 2

摘要

软件开发生命周期模型的缺陷近年来引起了许多研究者的关注。识别软件开发生命周期各个阶段的缺陷或各种风险是非常重要的。在SDLC模型的测试阶段检测缺陷是无用的,需要花费大量的人力和精力来解决。因此,所提出的SDLC模型是非常有用的。本文的主要目的是提出一个使用模糊逻辑的软件开发生命周期模型,该模型通过在软件开发生命周期模型中引入新的选择阶段来消除软件失败的风险。根据团队的经验,在需求和设计阶段之间引入了基于模糊逻辑的团队选择器。因此,团队选择阶段将减少将在SDLC模型的后期阶段识别的失败。在团队选择阶段基于模糊逻辑的团队选择将降低软件失败的风险,因此在测试阶段识别的缺陷或风险将减少,因为将采用最适合项目的团队。
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Proposal of Software Development Model Using Fuzzy Logic
the defects in software development life cycle model has recently attracted the instinct of many researchers. It is very important to identify the defects or various risks in every phase of life cycle of software development. It is useless to detect the defects in testing phase of SDLC model as it cost heavy effort and manpower to get resolved. Therefore the proposed SDLC model is of great use. The main objective behind this of this paper is to propose a software development life cycle model using the fuzzy logic which will eliminate the risk of software failure with the introduction of new selection phase in the software development life cycle model. A fuzzy logic based team selector has been introduced between the requirement and designing phase based on experience of the teams. As result the team selector phase will reduce the failure which will be identified in later phases of SDLC model. The fuzzy logic based selection of team in the team selector phase will reduce the risk of failure of the software and hence the defects or risk identified in testing phase will decrease as the team which is best for the project will be employed.
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