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Describing Software Developers Affectiveness through Markov chain Models

机译:描述通过马尔可夫链模型的软件开发人员情感

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In this paper, we present an analysis of more than 500K comments from open-sourcerepositories of software systems.Our aim is to empirically determine how developers interact with each otherunder certain psychological conditions generated by politeness, sentiment andemotion expressed within developers' comments.Developers involved in an open-source projects do not usually know each other; they mainly communicate through mailing lists, chat rooms,?and tools such as issue tracking systems.The way in which they communicate affects the development process and the productivity of the people involved in the project.We evaluated politeness, sentiment and emotions of comments posted by developers and studied the communication flow to understand how?they interacted in the presence of impolite and negative comments (and vice versa).Our analysis shows that when in presence of impolite or negative comments, the probability of the next comment?being impolite or negative is 14% and 25%, respectively; anger however,has a probability of 40% of being followed by a further anger comment.The result could help managers take control the development phases of a system, since social aspects can seriously affect a developer's productivity. In a distributed environment this may have a particular resonance.
机译:在本文中,我们提出了从软件系统开放溶质地区的500k评论的分析。我们的目标是经验决定开发人员如何互相互动,在开发人员评论中表达的礼貌,情感和缺乏症。涉及的发展在开源项目中,通常不会互相认识;它们主要通过邮件列表,聊天室进行沟通,聊天室?以及问题跟踪系统等工具。他们沟通的方式影响开发过程和参与项目的人民的生产力。我们评估了发表评论的礼貌,情绪和情感由开发人员研究了通信流程,了解如何?它们在不礼貌和负面评论的存在下互动(反之亦然)。我们的分析表明,在存在不礼貌或负面评论时,下一个评论的可能性?是不礼貌的阴性分别为14%和25%;然而,愤怒的概率为40%的愤怒评论。结果可以帮助管理者控制系统的发展阶段,因为社会方面可以严重影响开发商的生产力。在分布式环境中,这可能具有特定的共振。

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