Maria Caulo
ABSTRACT
In this paper, we conduct an empirical study aiming at investigating how personality traits can affect the productivity of software developers in the context of the distributed development of multi-platform apps within a software project stored in GitHub. Participants were 31 master’s students in Computer Science grouped in 13 teams. Data were gathered from the compilation of the IPIP-NEO-120 questionnaire, a largely adopted tool to estimate personality traits, and from the software projects. We analyzed the correlation between personality traits (and their facets) and the productivity metrics. The results of this preliminary study seem to reveal that the most productive participants are those with the highest scores for the personality traits of Agreeableness and Conscientiousness.
- Silvia T Acuña, Marta N Gómez, Jo E Hannay, Natalia Juristo, and Dietmar Pfahl. 2015. Are team personality and climate related to satisfaction and software quality? Aggregating results from a twice replicated experiment. Information and Software Technology 57 (2015), 141–156.Google Scholar
Cross Ref
- Silvia T. Acuña, Marta Gómez, and Natalia Juristo. 2009. How do personality, team processes and task characteristics relate to job satisfaction and software quality?Information and Software Technology 51, 3 (2009), 627 – 639.Google Scholar
- John Aldrich. 1995. Correlations Genuine and Spurious in Pearson and Yule. Statist. Sci. 10, 4 (1995), 364–376.Google ScholarCross Ref
- Aamir Amin, Shuib Basri, Mobashar Rahman, Luiz Fernando Capretz, Rehan Akbar, Abdul Rehman Gilal, and Muhammad Farooq Shabbir. 2020. The impact of personality traits and knowledge collection behavior on programmer creativity. Information and Software Technology 128 (2020), 106405.Google ScholarDigital Library
- Greg Anderson, Mark J Keith, Julianne Francisco, and Sarah Fox. 2018. The Effect of Software Team Personality Composition on Learning and Performance: Making the” Dream” Team. In Proc. of the 51st Hawaii international conference on system sciences.Google ScholarCross Ref
- M. R. Barrick and M. K. Mount. 1991. The Big Five Personality Dimensions And Job Performance: A Meta-Analysis. Personnel Psychology 44, 1 (1991), 1–26.Google ScholarCross Ref
- B. Bazelli, A. Hindle, and E. Stroulia. 2013. On the Personality Traits of StackOverflow Users. In Proc. of IEEE International Conference on Software Maintenance. 460–463.Google Scholar
- Fabio Calefato, Giuseppe Iaffaldano, Filippo Lanubile, and Bogdan Vasilescu. 2018. On Developers’ Personality in Large-Scale Distributed Projects: The Case of the Apache Ecosystem. In Proceedings of the 13th International Conference on Global Software Engineering(ICGSE ’18). ACM, 92–101.Google ScholarDigital Library
- G.V. Caprara, C. Barbaranelli, L. Borgogni, and M. Perugini. 1993. The “big five questionnaire”: A new questionnaire to assess the five factor model. Personality and Individual Differences 15, 3 (1993), 281 – 288.Google ScholarCross Ref
- Azer Celikten and Aydin Cetin. 2017. Assigning Product Development roles to Software Engineers based on Personality types and Skills. (2017).Google Scholar
- Deborah A. Cobb-Clark and Stefanie Schurer. 2012. The stability of big-five personality traits. Economics Letters 115, 1 (2012), 11 – 15.Google ScholarCross Ref
- Paul T. Costa and Robert R. McCrae. 1992. Four ways five factors are basic. Personality and Individual Differences 13, 6 (1992), 653 – 665.Google ScholarCross Ref
- Maria Cubel, Ana Nuevo-Chiquero, Santiago Sanchez-Pages, and Marian Vidal-Fernandez. 2016. Do Personality Traits Affect Productivity? Evidence from the Laboratory. The Economic Journal 126, 592 (2016), 654–681.Google ScholarCross Ref
- Eduardo Fernandes, Luiz Ferreira, Eduardo Figueiredo, and Marco Valente. 2017. How Clear is Your Code? An Empirical Study with Programming Challenges.Google Scholar
- Robert J Grissom and John J Kim. 2005. Effect sizes for research: A broad practical approach.Lawrence Erlbaum Associates Publishers.Google Scholar
- Maurice H. Halstead. 1977. Elements of Software Science (Operating and Programming Systems Series). Elsevier Science Inc., USA.Google ScholarDigital Library
- Ross Ihaka and Robert Gentleman. 1996. R: a language for data analysis and graphics. Journal of computational and graphical statistics 5, 3 (1996), 299–314.Google ScholarCross Ref
- John A. Johnson. 2014. Measuring thirty facets of the Five Factor Model with a 120-item public domain inventory: Development of the IPIP-NEO-120. Journal of Research in Personality 51 (2014), 78 – 89.Google ScholarCross Ref
- Constance J. Jones, Norman Livson, and Harvey Peskin. 2006. Paths of psychological health: Examination of 40-year trajectories from the Intergenerational Studies. Journal of Research in Personality 40, 1 (2006), 56 – 72.Google ScholarCross Ref
- Timothy Judge, Chad Higgins, Carl Thoresen, and Murray Barrick. 1999. The Big Five Personality Traits, General Mental Ability, and Career Success Across the Life Span. Personnel Psychology 52(1999), 621 – 652.Google ScholarCross Ref
- Tanjila Kanij, Robert Merkel, and John Grundy. 2015. An empirical investigation of personality traits of software testers. In Proc. of International Workshop on Cooperative and Human Aspects of Software Engineering. IEEE, 1–7.Google ScholarDigital Library
- D. Keirsey and M.M. Bates. 1978. Please understand me: an essay on temperament styles. Prometheus Nemesis Books.Google Scholar
- I.B. Myers. 1998. MBTI Manual: A Guide to the Development and Use of the Myers-Briggs Type Indicator. Consulting Psychologists Press.Google Scholar
- Edson Oliveira, Eduardo Fernandes, Igor Steinmacher, Marco Cristo, Tayana Conte, and Alessandro Garcia. 2020. Code and commit metrics of developer productivity: a study on team leaders perceptions. Empirical Software Engineering 25, 4 (2020), 2519–2549.Google ScholarCross Ref
- Edson Oliveira, Eduardo Fernandes, Igor Steinmacher, Marco Cristo, Tayana Conte, and Alessandro Garcia. 2020. Code and commit metrics of developer productivity: a study on team leaders perceptions. Empirical Software Engineering 25, 4 (2020), 2519–2549.Google ScholarCross Ref
- A. Rastogi and N. Nagappan. 2016. On the Personality Traits of GitHub Contributors. In Proc. of IEEE 27th International Symposium on Software Reliability Engineering. 77–86.Google Scholar
- P. C. Rigby and A. E. Hassan. 2007. What Can OSS Mailing Lists Tell Us? A Preliminary Psychometric Text Analysis of the Apache Developer Mailing List. In Proc. of Fourth International Workshop on Mining Software Repositories. 23–23.Google ScholarDigital Library
- Brent Roberts and Wendy DelVecchio. 2000. The Rank-Order Consistency of Personality Traits from Childhood to Old Age: A Quantitative Review of Longitudinal Studies. Psychological bulletin 126 (02 2000), 3–25.Google Scholar
- Jesus Salgado. 1997. The Five Factor Model of personality and job performance in the European community. Journal of Applied Psychology 82 (02 1997), 30–43.Google Scholar
- Norsaremah Salleh, Emilia Mendes, and John Grundy. 2014. Investigating the effects of personality traits on pair programming in a higher education setting through a family of experiments. Empirical Software Engineering 19, 3 (2014), 714–752.Google ScholarDigital Library
- N. Salleh, E. Mendes, J. Grundy, and G. S. J. Burch. 2010. An empirical study of the effects of conscientiousness in pair programming using the five-factor personality model. In Proc. of International Conference on Software Engineering, Vol. 1. 577–586.Google ScholarDigital Library
- S. S. SHAPIRO and M. B. WILK. 1965. An analysis of variance test for normality (complete samples). Biometrika 52, 3-4 (12 1965), 591–611.Google Scholar
- Edward K Smith, Christian Bird, and Thomas Zimmermann. 2016. Beliefs, practices, and personalities of software engineers: a survey in a large software company. In Proc. of the International Workshop on Cooperative and Human Aspects of Software Engineering. 15–18.Google ScholarDigital Library
- C Spearman. 1904. The proof and measurement of association between two things. Am. J. Psychol. 15 (1904), 72–101.Google ScholarCross Ref
- R. P. Tett, D. N. Jackson, and M. Rothstein. 1991. Personality Measures As Predictors Of Job Performance: A Meta-Analytic Review. Personnel Psychology 44, 4 (1991), 703–742.Google ScholarCross Ref
- Sai Datta Vishnubhotla, Emilia Mendes, and Lars Lundberg. 2020. Investigating the relationship between personalities and agile team climate of software professionals in a telecom company. Information and Software Technology 126 (2020), 106335.Google ScholarCross Ref
- X. Xia, D. Lo, L. Bao, A. Sharma, and S. Li. 2017. Personality and Project Success: Insights from a Large-Scale Study with Professionals. In Proc. of IEEE International Conference on Software Maintenance and Evolution. 318–328.Google Scholar
- Murat Yilmaz, Rory V. O’Connor, Ricardo Colomo-Palacios, and Paul Clarke. 2017. An examination of personality traits and how they impact on software development teams. Information and Software Technology 86 (2017), 101 – 122.Google ScholarDigital Library
- Jerrold H Zar. 1972. Significance testing of the Spearman rank correlation coefficient. J. Amer. Statist. Assoc. 67, 339 (1972), 578–580.Google ScholarCross Ref
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