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A Fuzzy-Based Approach for Selecting Technically Qualified Distributed Software Development Teams

机译:基于模糊的方法选择技术合格的分布式软件开发团队

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In Distributed Software Development, the cooperation among globally distributed development teams can reduce development cost and time. However, such benefits can only be achieved with teams that hold the specific technical background required to implement software modules. As a consequence, it is a key task to contrast technical background possessed by development teams against specified technical requirements expected to implement the various software project modules, making possible to identify the more skilled teams to develop each software module. In such a context, this paper proposes, implements and evaluates a fuzzy-based approach to support selection processes of distributed development teams, which are technically skilled to implement software modules in distributed software projects. As the main contribution, experimental results show that the proposed approach represents and formalizes an extremely complex problem in a systematic and structured way, allowing its direct or customized adoption in selection processes of globally distributed development teams.
机译:在分布式软件开发中,全球分布式开发团队之间的合作可以降低开发成本和时间。但是,只能通过持有所需的特定技术背景来实现实现软件模块的团队来实现这些优势。因此,它是通过对比开发团队拥有技术背景,对规定的技术要求,预计将实现各种软件项目模块,使得能够识别更多的经验丰富的团队开发每个软件模块的关键任务。在这样的上下文中,本文提出了实现和评估基于模糊的方法来支持分布式开发团队的选择过程,这在技术上熟练地实现了分布式软件项目中的软件模块。作为主要贡献,实验结果表明,该方法以系统和结构化的方式代表并正式地形式化极其复杂的问题,允许其在全球分布式开发团队的选择过程中直接或定制采用。

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