Title
Analysing Developers Affectiveness through Markov chain Models.
Abstract
In this paper, we present an analysis of more than 500K comments from open-source repositories of software systems. Our aim is to empirically determine how developers interact with each other under certain psychological conditions generated by politeness, sentiment and emotion expressed in developersu0027 comments. Developers involved in 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 developeru0027s productivity. In a distributed environment this may have a particular resonance.
Year
Venue
Field
2018
arXiv: Software Engineering
Distributed Computing Environment,Computer science,Politeness,Polite number,Markov chain,Tracking system,Software system,Theoretical computer science,Human–computer interaction,Anger
DocType
Volume
Citations 
Journal
abs/1803.06502
0
PageRank 
References 
Authors
0.34
25
6
Name
Order
Citations
PageRank
Giuseppe Destefanis123720.74
Marco Ortu226716.83
Steve Counsell31732117.90
Stephen Swift4203.83
Roberto Tonelli514519.35
Michele Marchesi6807120.28