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

机译:基于模糊的技术选择合格的分布式软件开发团队的方法

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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减少开发成本和时间。但是,只有拥有实施软件模块所需的特定技术背景的团队才能实现这些好处。因此,将开发团队拥有的技术背景与预期实现各种软件项目模块的特定技术要求进行对比是一项关键任务,从而可以确定技能更高的团队来开发每个软件模块。在这种情况下,本文提出,实施和评估了一种基于模糊的方法来支持分布式开发团队的选择过程,该团队具有在分布式软件项目中实现软件模块的技术能力。作为主要贡献,实验结果表明,所提出的方法以系统和结构化的方式表示并形式化了一个极其复杂的问题,从而允许其在全球分布的开发团队的选择过程中直接或自定义地采用。

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