Please use this identifier to cite or link to this item: http://buratest.brunel.ac.uk/handle/2438/12449
Title: Arsonists or firefighters? Affectiveness in agile software development
Authors: Ortu, M
Destefanis
Counsell, S
Swift, S
Tonelli, R
Marchesi, M
Keywords: Agile;Data mining;Human aspect
Issue Date: 2016
Publisher: Springer International Publishing
Citation: Proceedings - 17th International Conference on Agile software development, Edinburgh, Scotland, (24-27 May 2016), 251: pp. 144-155, (2016)
Abstract: In this paper, we present an analysis of more than 500K comments from open-source repositories of software systems developed using agile methodologies. Our aim is to empirically determine how developers interact with each other under certain psychological conditions generated by politeness, sentiment and emotion expressed within developers' comments. Developers involved in an open-source projects do not usually know each other; they mainly communicate through mailing lists, chat, and tools such as issue tracking systems. The way in which they communicate a ects the development process and the productivity of the people involved in the project. We evaluated politeness, sentiment and emotions of comments posted by agile developers and studied the communication ow to understand how they interacted in the presence of impolite and negative comments (and vice versa). Our analysis shows that \ re ghters" prevail. When in presence of impolite or negative comments, the probability of the next comment being impolite or negative is 13% 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 a ect a developer's productivity. In a distributed agile environment this may have a particular resonance.
URI: https://www.researchgate.net/publication/295918487
http://bura.brunel.ac.uk/handle/2438/12449
DOI: http://dx.doi.org/10.1007/978-3-319-33515-5_12
Appears in Collections:Dept of Computer Science Research Papers

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