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arXiv · 1603.00696

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

Oscar Hernán Paruma-Pabón·Fabio A. González·Jairo Aponte·Jorge E. Camargo·Felipe Restrepo-Calle
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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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Oscar Hernán Paruma-Pabón, Fabio A. González, Jairo Aponte, Jorge E. Camargo, Felipe Restrepo-Calle. 2016-03-03. Finding Relationships between Socio-Technical Aspects and Personality Traits by Mining Developer E-mails. https://doi.org/10.1145/2897586.2897611

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