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T-shaped grouping: Expert finding models to agile software teams retrieval

机译:T形分组:专家发现模型,用于敏捷软件团队检索

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摘要

Agile team formation is an important requirement of software companies. Since the members of an agile team should be generalizing specialists (i.e. T-shaped experts), we need members who are specialist in a specific topic and have general knowledge in other topics of the team. Selecting such members results in an ideal team which is flexible, high-performing and low-cost. In this paper, we define the problem of agile team formation in which given a set of required skills of an agile team, the ideal output is a set of low-cost candidates who can collectively cover the required skills while they can effectively communicate with each other. We propose two retrieval models to address this problem and then we introduce three evaluation measures for assessment. These measures are coverage, communication and optimality. Our experiments on two test collections extracted from StackOverflow demonstrate the efficiency of our proposed models in comparison with several strong baselines. (C) 2018 Elsevier Ltd. All rights reserved.
机译:敏捷团队的形成是软件公司的重要要求。由于敏捷团队的成员应该是通用专家(即T形专家),因此我们需要在特定主题方面具有专家知识并且对团队其他主题具有一般知识的成员。选择这样的成员将形成一个理想的团队,该团队具有灵活性,高性能和低成本。在本文中,我们定义了敏捷团队形成的问题,在该问题中,给定敏捷团队所需的一组技能,理想的输出是一组低成本的候选人,他们可以共同涵盖所需技能,同时可以与每个人有效地沟通其他。我们提出了两种检索模型来解决此问题,然后介绍三种评估方法进行评估。这些措施是覆盖,沟通和最佳化。我们对从StackOverflow提取的两个测试集合进行的实验证明,与几个强基准相比,我们提出的模型的效率。 (C)2018 Elsevier Ltd.保留所有权利。

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