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Revisiting Turnover-Induced Knowledge Loss in Software Projects

机译:重新讨论软件项目中的营业额引起的知识损失

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In large software projects, tacit knowledge of the system is threatened by developer turnover. When a developer leaves the project, their knowledge may be lost if the other developers do not understand the design decisions made by the leaving developer. Understanding the source code written by leaving developers thus becomes a burden for their successors. In a previous paper, Rigby et al. reported on a case study of turnover-induced knowledge loss in two large projects, Chromium and a project at Avaya, using risk evaluation methods usually applied to financial systems. They found that the two projects were susceptible to large knowledge losses that are more than three times the average loss. We report on a replication of their study on the Chromium project, as well as seven other large and medium-sized open source projects. We also extended theirwork by studying two variations of the knowledge loss metric, as well as the location and persistence of abandoned files. We found that all projects had a similar knowledge loss probability distribution, but extreme knowledge loss can be more severe than those originally discovered in Chromium and the project at Avaya. We also found that, in the systems under study, abandoned files often remained in the system for long periods.
机译:在大型软件项目中,系统的默认知识受开发人员营业额威胁。当开发人员离开项目时,如果其他开发人员不了解离开开发人员的设计决策,他们的知识可能会丢失。了解留下开发人员编写的源代码因其继任者而成为负担。在前面的论文中,Rigby等人。关于在两次大型项目,铬和Avaya项目中的营业型知识损失的案例研究,使用通常适用于金融系统的风险评估方法。他们发现这两个项目易于大的知识损失,这是平均损失的三倍以上。我们报告了他们对铬项目的研究复制,以及七个其他大中型开源项目。我们还通过研究知识丢失度量的两个变体以及废弃文件的位置和持久性来扩展他们的作业。我们发现所有项目都有类似的知识损失概率分布,但极端的知识损失可能比最初在铬和Avaya的项目中发现的项目更严重。我们还发现,在研究的系统中,被遗弃的文件经常在系统中保持长时间。

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