Identifying participants for collaborative merge

Catarina Costa
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引用次数: 0

Abstract

Software development is typically a collaborative activity. Development in large projects often involves branches, where changes are performed in parallel and merged periodically. While, there is no consensus on who should perform the merge, team members typically try to find someone with enough knowledge about the changes in the branches. This task can be difficult in cases where many different developers have made significant changes. My research proposes an approach, TIPMerge, to help select the most appropriate developers to participate in a collaborative merge session, such that we maximize the knowledge spread across changes. The goal of this research is to select a specified number of developers with the highest joint coverage. We use an optimization algorithm to find which developers form the best team together to deal with a specific merge case. We have implemented all the steps of our approach and evaluate parts of them.
确定协作合并的参与者
软件开发是典型的协作活动。大型项目的开发通常涉及分支,其中的更改是并行执行的,并定期合并。然而,对于谁应该执行合并没有达成一致意见,团队成员通常会尝试找到对分支中的更改有足够知识的人。在许多不同的开发人员进行了重大更改的情况下,这项任务可能会很困难。我的研究提出了一种方法,TIPMerge,来帮助选择最合适的开发人员来参与协作合并会话,这样我们就可以最大化地在变更中传播知识。本研究的目标是选择具有最高联合覆盖率的特定数量的开发人员。我们使用优化算法来发现哪些开发人员组成了最好的团队来处理特定的合并情况。我们已经实施了我们方法的所有步骤,并对其中的一部分进行了评估。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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