Finding Relationships between Socio-Technical Aspects and Personality Traits by Mining Developer E-mails

Oscar Hernán Paruma-Pabón, F. González, Jairo Aponte, Jorge E. Camargo, Felipe Restrepo-Calle
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引用次数: 21

Abstract

Personality traits influence most, if not all, of the human activities, from those as natural as the way people walk, talk, dress and write to those most complex as the way they interact with others. Most importantly, personality influences the way people make decisions including, in the case of developers, the criteria they consider when selecting a software project they want to participate. Most of the works that study the influence of social, technical and human factors in software development projects have been focused on the impact of communications in software quality. For instance, on identifying predictors to detect files that may contain bugs before releasing an enhanced version of a software product. Only a few of these works focus on the analysis of personality traits of developers with commit permissions (committers) in Free/Libre and Open-Source Software projects and their relationship with the software artifacts they interact with. This paper presents an approach, based on the automatic recognition of personality traits from e-mails sent by committers in FLOSS projects, to uncover relationships between the social and technical aspects that occur during the software development process. Our experimental results suggest the existence of some relationships among personality traits projected by the committers through their e-mails and the social (communication) and technical activities they undertake. This work is a preliminary study aimed at supporting the setting up of efficient work teams in software development projects based on an appropriate mix of stakeholders taking into account their personality traits.
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通过挖掘开发者电子邮件发现社会技术方面与人格特征之间的关系
性格特征影响着大部分(如果不是全部的话)人类活动,从人们走路、说话、穿衣和写作这样的自然方式,到最复杂的与他人互动的方式。最重要的是,性格会影响人们做决定的方式,包括,在开发人员的情况下,他们在选择他们想要参与的软件项目时所考虑的标准。大多数研究软件开发项目中社会、技术和人为因素影响的工作都集中在通信对软件质量的影响上。例如,在发布软件产品的增强版本之前,识别预测器来检测可能包含错误的文件。这些著作中只有少数集中于分析自由/自由和开源软件项目中具有提交权限的开发人员(提交者)的个性特征,以及他们与他们交互的软件工件的关系。本文提出了一种方法,该方法基于对FLOSS项目中提交者发送的电子邮件中的个性特征的自动识别,以揭示软件开发过程中出现的社会和技术方面之间的关系。我们的实验结果表明,提交者通过电子邮件投射的人格特征与他们所从事的社会(沟通)和技术活动之间存在一定的关系。这项工作是一项初步的研究,旨在支持在软件开发项目中建立有效的工作团队,该团队基于考虑到其个性特征的利益相关者的适当组合。
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