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Using Social Networks for Integrating a Tacit Knowledge Repository to Support the Performance of Software Development Teams

机译:使用社交网络集成默认知识存储库以支持软件开发团队的绩效

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Tacit knowledge provides an important support to enterprise activities; software development is not an exception. Traditionally, tacit knowledge is communicated face-to-face while performing activities; in distributed environments it is difficult to carry out. On the other hand, documenting tacit knowledge becomes a difficult task due to its informal nature. Several efforts have been made in order to document tacit knowledge, but some challenges remain. Nowadays, social media provide possibilities for communicating knowledge and are a substantive source of tacit knowledge generation. In this paper we present a case study about how we are using Facebook to supervise the project performance and for integrating a tacit knowledge repository. This repository will allow us to assess future projects at the level of team performance, knowledge sharing, and project success factors. Based on the characterization of tacit knowledge sharing through Facebook, we present an initial proposal to use uncertainty reasoning to predict the project success and for classifying the messages that express tacit knowledge.
机译:隐性知识为企业活动提供了重要的支持;软件开发也不例外。传统上,隐性知识是在进行活动时面对面交流的;在分布式环境中很难执行。另一方面,由于隐性知识的非正式性质,记录隐性知识成为一项艰巨的任务。为了记录隐性知识,已经做了一些努力,但是仍然存在一些挑战。如今,社交媒体为交流知识提供了可能性,并且是隐性知识生成的实质性来源。在本文中,我们将提供一个案例研究,说明我们如何使用Facebook来监督项目绩效以及整合默认知识存储库。该存储库将使我们能够在团队绩效,知识共享和项目成功因素的水平上评估未来的项目。基于通过Facebook共享的隐性知识的表征,我们提出了一个初步建议,即使用不确定性推理来预测项目成功以及对表达隐性知识的消息进行分类。

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