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A Genetic Algorithm for Human Resource Allocation in Software Projects

机译:软件项目人力资源分配的遗传算法

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The search for improvement of the software development process is an endless effort. The human resources allocation is one of the challenging aspects that needs to be investigate, since it brings together many different characteristics including work experience, preferences, domain knowledge, affinities, costs, among others. This work aims to describe a genetic algorithm aimed to provide automated assistance to the allocation of members to a software development project. We also present an evaluation of the efficiency and effectiveness of this algorithm. To evaluate the algorithm, a study was conducted with CMMiDEV assessed software companies. At the end of the study, the participants answered a brief questionnaire about their experience using the algorithm.
机译:寻找改进软件开发过程的努力是不懈的努力。人力资源分配是需要研究的具有挑战性的方面之一,因为它汇集了许多不同的特征,包括工作经验,偏好,领域知识,亲和力,成本等。这项工作旨在描述一种遗传算法,旨在为软件开发项目的成员分配提供自动协助。我们还提出了对该算法的效率和有效性的评估。为了评估算法,与CMMiDEV评估的软件公司进行了一项研究。在研究结束时,参与者回答了一份关于他们使用该算法的经历的简短问卷。

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