The Evolution of Emotional Displays in Open Source Software Development Teams: An Individual Growth Curve Analysis

Software developers communicate and interact with each other in order to solve complex problems. Such communication often includes emotional displays that have been shown to influence team processes and performance. Yet, little is known about the evolution of team emotional displays. Hence, we investigate a sample of 1121 Open Source Software (OSS) projects from GitHub, using longitudinal data analysis. The results from growth curve analysis shows that the team emotional display decrease over time. This negative linear trend decelerates mid-term as suggested by a positive quadratic trend of time. Such deceleration diminishes toward the end as a negative cubic trend suggests.

[1]  Sjaak Brinkkemper,et al.  MEME - Toward a Method for EMotions Extraction from GitHub , 2018, 2018 IEEE/ACM 3rd International Workshop on Emotion Awareness in Software Engineering (SEmotion).

[2]  Michele Marchesi,et al.  How diverse is your team? Investigating gender and nationality diversity in GitHub teams , 2017, Journal of Software Engineering Research and Development.

[3]  Manlu Liu,et al.  Starting open source collaborative innovation: the antecedents of network formation in community source , 2017, Inf. Syst. J..

[4]  Michele Marchesi,et al.  Connecting the Dots: Measuring Effectiveness and Affectiveness in Software Systems , 2017, 2017 IEEE/ACM 2nd International Workshop on Emotion Awareness in Software Engineering (SEmotion).

[5]  Pekka Abrahamsson,et al.  Consequences of Unhappiness while Developing Software , 2017, 2017 IEEE/ACM 2nd International Workshop on Emotion Awareness in Software Engineering (SEmotion).

[6]  Alexander Serebrenik,et al.  On negative results when using sentiment analysis tools for software engineering research , 2017, Empirical Software Engineering.

[7]  J. Eskildsen,et al.  Exploration versus exploitation: Emotions and performance as antecedents and consequences of team decisions , 2016 .

[8]  Karl Werder,et al.  Team Agility and Team Performance - the Moderating effect of User Involvement , 2016, ECIS.

[9]  A. Homan,et al.  Team members’ emotional displays as indicators of team functioning , 2016, Cognition & emotion.

[10]  S. Kozlowski Advancing research on team process dynamics , 2015 .

[11]  Premkumar T. Devanbu,et al.  Quality and productivity outcomes relating to continuous integration in GitHub , 2015, ESEC/SIGSOFT FSE.

[12]  S. Seibert,et al.  The impact of leader emotion display frequency on follower performance: Leader surface acting and mean emotion display as boundary conditions , 2015 .

[13]  Pilar Rodríguez Marín,et al.  Sentiment Analysis in monitoring software development processes: An exploratory case study on GitHub's project issues , 2015, J. Syst. Softw..

[14]  Alexander Serebrenik,et al.  A Data Set for Social Diversity Studies of GitHub Teams , 2015, 2015 IEEE/ACM 12th Working Conference on Mining Software Repositories.

[15]  Premkumar T. Devanbu,et al.  Gender and Tenure Diversity in GitHub Teams , 2015, CHI.

[16]  S. Sonnentag Dynamics of Well-Being , 2015 .

[17]  Yang Li,et al.  Sentiment analysis of commit comments in GitHub: an empirical study , 2014, MSR 2014.

[18]  James D. Herbsleb,et al.  Influence of social and technical factors for evaluating contribution in GitHub , 2014, ICSE.

[19]  Pekka Abrahamsson,et al.  Happy software developers solve problems better: psychological measurements in empirical software engineering , 2014, PeerJ.

[20]  Daniela E. Damian,et al.  The promises and perils of mining GitHub , 2009, MSR 2014.

[21]  Param Vir Singh,et al.  Networks, Social Influence, and the Choice Among Competing Innovations: Insights from Open Source Software Licenses , 2013, Inf. Syst. Res..

[22]  Saif Mohammad,et al.  CROWDSOURCING A WORD–EMOTION ASSOCIATION LEXICON , 2013, Comput. Intell..

[23]  Ali E. Akgün,et al.  Antecedents and Results of Emotional Capability in Software Development Project Teams , 2011 .

[24]  Jens Hogreve,et al.  Industrial services, product innovations, and firm profitability: A multiple-group latent growth curve analysis , 2011 .

[25]  Daniel T. L. Shek,et al.  Longitudinal Data Analyses Using Linear Mixed Models in SPSS: Concepts, Procedures and Illustrations , 2011, TheScientificWorldJournal.

[26]  Robert E. Ployhart,et al.  Longitudinal Research: The Theory, Design, and Analysis of Change , 2010 .

[27]  Premkumar T. Devanbu,et al.  Latent social structure in open source projects , 2008, SIGSOFT '08/FSE-16.

[28]  D. Mirman,et al.  Statistical and computational models of the visual world paradigm: Growth curves and individual differences. , 2008, Journal of memory and language.

[29]  Jeffrey M. Pollack,et al.  Leading with emotional labor , 2008 .

[30]  Shlomo Hareli,et al.  Emotion cycles: On the social influence of emotion in organizations , 2008 .

[31]  Rebecca Jestice,et al.  Team collaboration in virtual worlds , 2007, DATB.

[32]  Jeffrey T. Polzer,et al.  Chapter 4 Team Emotion Recognition Accuracy and Team Performance , 2007 .

[33]  Sigal G. Barsade,et al.  Why Does Affect Matter in Organizations , 2007 .

[34]  Jeffrey T. Polzer,et al.  Team Emotion Recognition Accuracy and Team Performance , 2007 .

[35]  Kevin C. Stagl,et al.  What type of leadership behaviors are functional in teams? A meta-analysis , 2006 .

[36]  S. Lyubomirsky,et al.  The Benefits of Frequent Positive Affect: Does Happiness Lead to Success? , 2005, Psychological bulletin.

[37]  Shelly L. Gable,et al.  What (and Why) is Positive Psychology? , 2005 .

[38]  Bradley L. Kirkman,et al.  The Impact of Team Empowerment on Virtual Team Performance: The Moderating Role of Face-to-Face Interaction , 2004 .

[39]  P MasseyAnne,et al.  Because Time Matters , 2003 .

[40]  Anne P. Massey,et al.  Because Time Matters: Temporal Coordination in Global Virtual Project Teams , 2003, J. Manag. Inf. Syst..

[41]  Guest Editorial Open source software: investigating the software engineering, psychosocial and economic issues , 2001, Inf. Syst. J..

[42]  Sigal G. Barsade,et al.  Mood and Emotions in Small Groups and Work Teams , 2001 .

[43]  John E. Mathieu,et al.  A Temporally Based Framework and Taxonomy of Team Processes , 2001 .

[44]  Andy P. Field,et al.  Discovering Statistics Using SPSS , 2000 .

[45]  J. Russell A circumplex model of affect. , 1980 .

[46]  R. Plutchik A GENERAL PSYCHOEVOLUTIONARY THEORY OF EMOTION , 1980 .

[47]  Donald R. Cooper,et al.  Business Research Methods , 1980 .