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Archetypal personalities of software engineers and their work preferences: a new perspective for empirical studies

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Abstract

As the area of Software Engineering (SE) matures the role of human factors in software development is commonly recognized as important. Increasingly we see empirical studies that investigate the connection between, for example, personalities and preferences, attitudes or performances of software engineers. Statistical analysis holds a key role by providing the means for uncovering associations between various facets of human factors and behavioral effects on projects and outcomes. Traditional statistical techniques tend to explore and interpret the multidimensional personality and behavioral data from an “average-point” perspective, targeting central trends. This paper introduces a methodology with statistical tools that can provide a new and different perspective for this type of SE data. It seeks the boundaries of a psychometric dataset and discovers reference or “benchmark” personalities, the archetypal personalities. Then, the method examines the placement of all individuals in the dataset in relation to the archetypes. Furthermore, the SE preference characteristics, or generally, any other types of behavioral SE data, are analyzed with respect to the archetypes. As a case to exemplify the methodology we analyze personality and project preference data from 276 master level SE students and compare to previous “average-point” statistical analysis of the same data. We also discuss how Archetypal Analysis, the heart of the proposed methodology, combined with multi-correspondence analysis might be of general use in empirical SE.

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References

  • Abdi H, Valentin, D (2007) Multiple correspondence analysis. Encycl Meas Stat 651–657

  • Acuña ST, Juristo N (2004) Assigning people to roles in software projects. Softw Pract Exp 34(7):675–696

    Article  Google Scholar 

  • Acuña ST, Gómez M, Juristo N (2009) How do personality, team processes and task characteristics relate to job satisfaction and software quality? Inf Softw Technol 51(3):627–639

    Article  Google Scholar 

  • Arcuri A, Briand L. (2012) A hitchhiker’s guide to statistical tests for assessing randomized algorithms in software engineering. Softw Test Verification Reliab

  • Aoyama M (2005) Persona-and-scenario based requirements engineering for software embedded in digital consumer products. In: Requirements Engineering, 2005. Proceedings. 13th IEEE International Conference on. IEEE, pp 85–94

  • Bartholomew D J (ed). (2002) The analysis and interpretation of multivariate data for social scientists. CRC Press

  • Bell D, Hall T, Hannay J E, Pfahl D, Acuna S T (2010) Software engineering group work: personality, patterns and performance. In: Proceedings of the 2010 Special Interest Group on Management Information System’s 48th annual conference on Computer personnel research on Computer personnel research. ACM, pp 43–47

  • Capretz LF, Ahmed F (2010) Making sense of software development and personality types. IT Professional 12(1):6–13

    Article  Google Scholar 

  • Chao J, Atli G (2006) Critical personality traits in successful pair programming. In: Agile Conference. IEEE, pp 5-pp

  • Costa P T, MacCrae R R (1992) Revised NEO Personality Inventory (NEO PI-R) and NEO Five-Factor Inventory (NEO FFI): Professional Manual. Psychological Assessment Resources

  • Cruz S, da Silva FQ, Capretz LF (2015) Forty years of research on personality in software engineering: a mapping study. Comput Hum Behav 46:94–113

    Article  Google Scholar 

  • Cutler A, Breiman L (1994) Archetypal analysis. Technometrics 36(4):338–347

    Article  MathSciNet  MATH  Google Scholar 

  • Da Cunha AD, Greathead D (2007) Does personality matter?: an analysis of code-review ability. Commun ACM 50(5):109–112

    Article  Google Scholar 

  • Dick A J, Zarnett B (2002) Paired programming and personality traits. In: Third International Conference on eXtreme Programming and Agile Processes in Software Engineering, Alghero, Sardinia, Italy

  • Donnellan MB, Oswald FL, Baird BM, Lucas RE (2006) The mini-IPIP scales: tiny-yet-effective measures of the big five factors of personality. Psychol Assess 18(2):192

    Article  Google Scholar 

  • Eugster M, Leisch F (2009) From Spider-man to Hero-archetypal analysis in R

  • Feldt R, Angelis L, Torkar R, Samuelsson M (2010) Links between the personalities, views and attitudes of software engineers. Inf Softw Technol 52(6):611–624

    Article  Google Scholar 

  • Furnham A (1996) The big five versus the big four: the relationship between the Myers-Briggs type indicator (MBTI) and NEO-PI five factor model of personality. Personal Individ Differ 21(2):303–307

    Article  Google Scholar 

  • Gorla N, Lam YW (2004) Who should work with whom?: building effective software project teams. Commun ACM 47(6):79–82

    Article  Google Scholar 

  • Hainmueller J, Hazlett C, (2013) Kernel Regularized Least Squares: Reducing Misspecification Bias with a Flexible and Interpretable Machine Learning Approach. Political Analysis, mpt019

  • Hannay JE, Arisholm E, Engvik H, Sjoberg DI (2010) Effects of personality on pair programming. Softw Eng IEEE Trans 36(1):61–80

    Article  Google Scholar 

  • IBM SPSS software, http://www-01.ibm.com/software/analytics/spss, last access, July 20th, 2013

  • Karn J, Cowling T (2006) A follow up study of the effect of personality on the performance of software engineering teams. In: Proceedings of the 2006 ACM/IEEE international symposium on Empirical software engineering. ACM, pp 232–241

  • Kitchenham B, Pearl Brereton O, Budgen D, Turner M, Bailey J, Linkman S (2009) Systematic literature reviews in software engineering–a systematic literature review. Inf Softw Technol 51(1):7–15

    Article  Google Scholar 

  • Kosti MV, Feldt R, Angelis L (2014) Personality, emotional intelligence and work preferences in software engineering: an empirical study. Inf Softw Technol 56(8):973–990

    Article  Google Scholar 

  • Lenberg P, Feldt R, Wallgren G L (2014) Towards a Behavioral Software Engineering. In: Proceedings of the 7th International Workshop on Cooperative and Human Aspects of Software Engineering, June 2–3, Hyderabad, India, pp 16

  • Martínez LG, Rodríguez-Díaz A, Licea G, Castro JR (2010) Big five patterns for software engineering roles using an ANFIS learning approach with RAMSET, Advances in Soft Computing. Springer Berlin, Heidelberg, pp 428–439

    Google Scholar 

  • Martínez L G, Licea G, Rodríguez A, Castro J R, Castillo O (2011) Using MatLab’s fuzzy logic toolbox to create an application for RAMSET in software engineering courses. Comput Appl Eng Educ

  • McGinn J J, Kotamraju N (2008) Data-driven persona development. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. ACM, (pp 1521–1524)

  • Merriam-Webster Online Dictionary (2008) Archetype. In Merriam-Webster Online Dictionary, Retrieved December 13, 2013, from http://www.merriam-webster.com/dictionary/archetype

  • Mittas N, Karpenisi V, Angelis L (2014) Benchmarking effort estimation models using archetypal analysis. In: Proceedings of the 10th International Conference on Predictive Models in Software Engineering. ACM, pp 62–71

  • Mørup M, Hansen LK (2012) Archetypal analysis for machine learning and data mining. Neurocomputing 80:54–63

    Article  Google Scholar 

  • Olson MH (1980) Review of software: human factors in computer and information systems, by Ben Shneiderman, Winthrop computer systems series, 1980. ACM SIGMIS Database 11(4):21

    Article  Google Scholar 

  • Porzio GC, Ragozini G, Vistocco D (2006) Archetypal Analysis for Data Driven Benchmarking, Data Analysis, Classification and the Forward Search. Springer Berlin, Heidelberg, pp 309–318

    Google Scholar 

  • Rehman M, Mahmood A K, Salleh R, Amin A (2012). Mapping job requirements of software engineers to Big Five Personality Traits. In: Computer & Information Science (ICCIS), 2012 International Conference on, vol 2. IEEE, pp 1115–1122

  • Sabini J (1995) Social Psychology, 2nd edn. W.W. Norton & Co Inc.

  • Salleh N, Mendes E, Grundy J, Burch G S J (2009). An empirical study of the effects of personality in pair programming using the five-factor model. In: Proceedings of the 2009 3rd International Symposium on Empirical Software Engineering and Measurement. IEEE Computer Society, pp 214–225

  • Salleh N, Mendes E, Grundy J, Burch G S J (2010a) An empirical study of the effects of conscientiousness in pair programming using the five-factor personality model. In: Proceedings of the 32nd ACM/IEEE International Conference on Software Engineering, Vol 1. ACM, pp 577–586

  • Salleh N, Mendes E, Grundy J, Burch G S J (2010b) The effects of neuroticism on pair programming: An empirical study in the higher education context. In: Proceedings of the 2010 ACM-IEEE International Symposium on Empirical Software Engineering and Measurement. ACM, p 22

  • Sfetsos P, Stamelos I, Angelis L, Deligiannis I (2009) An experimental investigation of personality types impact on pair effectiveness in pair programming. Empir Softw Eng 14(2):187–226

    Article  Google Scholar 

  • Team R D C (2005) R: A Language and Environment for Statistical Computing. ISBN 3-900051-07-0. R Foundation for Statistical Computing. Vienna, Austria, 2013. url: http://www.R-project.org

  • Wiggins J S (ed) (1996) The five-factor model of personality: Theoretical perspectives. Guilford Press

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Acknowledgments

We acknowledge the support of Swedish Armed Forces, Swedish Defence Materiel Administration and Swedish Governmental Agency for Innovation Systems in the project ‘Aligning Requirements and Verification Practices in Air Traffic Control Systems’ (project number 2013-01199).

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Authors and Affiliations

  1. Department of Informatics, Aristotle University of Thessaloniki, Thessaloniki, Greece

    Makrina Viola Kosti & Lefteris Angelis

  2. Department of Computer Science & Engineering, Chalmers University of Technology, Göteborg, Sweden

    Robert Feldt

  3. Department of Software Engineering, Blekinge Institute of Technology, Karlskrona, Sweden

    Robert Feldt

Authors
  1. Makrina Viola Kosti
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  2. Robert Feldt
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  3. Lefteris Angelis
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Correspondence to Lefteris Angelis.

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Communicated by: Hakan Erdogmus

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Kosti, M.V., Feldt, R. & Angelis, L. Archetypal personalities of software engineers and their work preferences: a new perspective for empirical studies. Empir Software Eng 21, 1509–1532 (2016). https://doi.org/10.1007/s10664-015-9395-3

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  • DOI: https://doi.org/10.1007/s10664-015-9395-3

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