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World Conference on Information Systems and Technologies

WorldCIST 2020: Trends and Innovations in Information Systems and Technologies pp 766–777Cite as

The Influence of Personality on Software Quality – A Systematic Literature Review

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1159))

Abstract

Context: Software quality is an important factor for reducing costs or increasing sales of a software developing company. Humans are involved in the whole software development process. This suggests that human factors have an influence on the result of the development process. Aim: We aimed to understand which distinct human factors or personality traits have an influence on which distinct software quality attributes. Method: For this purpose, we conducted a Systematic Literature Review following the guidelines of Kitchenham and Charters. Results: Existing studies show a link between human factors or personality types and software quality in general. There were only two studies which mentioned an influence on distinct software quality aspects: Extraversion influences decomposition, modularization, testability, functionality, re-usability and programming style. Personality in general influences memory consumption and runtime. Conclusions: We expected to find more such links but research conducted until now is far from being sufficient to provide a strong basis for making clear statements on the link between the personality of a software engineer and distinct software quality attributes.

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Notes

  1. 1.

    http://www.crd.york.ac.uk/CRDWeb/AboutPage.asp.

  2. 2.

    http://ieeexplore.ieee.org.

  3. 3.

    http://dl.acm.org.

  4. 4.

    http://www.sciencedirect.com.

  5. 5.

    First two letters of the first author’s surname + year of publishing + first four letters of the title, e.g.: M. Petticrew and H. Roberts. Systematic reviews in the social sciences: A practical guide. John Wiley & Sons, 2008 \(\Rightarrow \) paper id: Pe2008Syst .

References

  1. Aas, E., Sundsbo, I.: Harnessing the human factor for quality designs. IEEE Circ. Devices Mag. 11(3), 24–28 (1995)

    Article  Google Scholar 

  2. Acuña, S.T., Gómez, M., Juristo, N.: How do personality, team processes and task characteristics relate to job satisfaction and software quality? Inf. Softw. Technol. 51(3), 627–639 (2009). http://www.sciencedirect.com/science/article/pii/S0950584908001080

    Article  Google Scholar 

  3. Ahlers, A.: Die persönlichkeitsentwicklung ist niemals fertig. Zeit online (2018). https://www.zeit.de/wissen/2018-05/psychologie-persoenlichkeit-entwicklung-alter-forschung/seite-2

  4. Anh, N.D., Cruzes, D.S., Conradi, R., Ayala, C.: Empirical validation of human factors in predicting issue lead time in open source projects. In: Proceedings of the 7th International Conference on Predictive Models in Software Engineering, pp. 1–10. ACM (2011)

    Google Scholar 

  5. Shneiderman, B.: Putting the human factor into systems development. In: Proceedings of the Eighteenth Annual Computer Personnel Research Conference, pp. 1–13. ACM (1981)

    Google Scholar 

  6. Belanger, F., Lewis, T., Kasper, G.M., Smith, W.J., Harrington, K.V.: Are computing students different? An analysis of coping strategies and emotional intelligence. IEEE Trans. Educ. 50(3), 188–196 (2007)

    Article  Google Scholar 

  7. Maier, C.: Personality within Information Systems research: a literature analysis. In: Proceedings of the ECIS 2012, p. Paper 101 (2012). http://aisel.aisnet.org/ecis2012/101

  8. Cegielski, C.G., Hall, D.J.: What makes a good programmer? Commun. ACM 49(10), 73–75 (2006)

    Article  Google Scholar 

  9. Cruz, S., da Silva, F., Monteiro, C., Santos, C., dos Santos, M.: Personality in software engineering: preliminary findings from a systematic literature review. In: Proceedings of the 15th Annual Conference on Evaluation and Assessment in Software Engineering, pp. 1–10 (2011)

    Google Scholar 

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

    Article  Google Scholar 

  11. Darcy, D., Ma, M.: Exploring individual characteristics and programming performance: implications for programmer selection. In: Proceedings of the 38th Annual Hawaii International Conference on System Sciences, p. 314a (2005)

    Google Scholar 

  12. Gallivan, M.J.: Examining it professionals’ adaptation to technological change: the influence of gender and personal attributes. SIGMIS Database 35(3), 28–49 (2004)

    Article  Google Scholar 

  13. Glass, R.: Frequently forgotten fundamental facts about software engineering. IEEE Softw. 18(3), 112–111 (2001)

    Article  Google Scholar 

  14. Gonçalves, D., Britz, J.: Screening candidate systems engineers: exploratory results. In: Proceedings of the CSIR 3rd Biennial Conference 2010, p. 14 (2010)

    Google Scholar 

  15. Hoplin, H.P.: Trends in computing careers: human factors in MIS. In: Proceedings of the Twenty-Second Annual Computer Personnel Research Conference on Computer Personnel Research Conference, pp. 143–150. ACM (1986)

    Google Scholar 

  16. Higgins, J.P.T., Green, S.: Cochrane Handbook for Systematic Reviews of Interventions. Cochrane Book Series. Wiley-Blackwell, Chichester (2008)

    Book  Google Scholar 

  17. Hunsley, J., Lee, C.M., Wood, J.M.: Controversial and questionable assessment techniques. In: Lilienfeld, S.O., Lynn, S.J., Lohr, J.M. (eds.) Science and Pseudoscience in Clinical Psychology, pp. 39–76. Guilford Press, New York (2003)

    Google Scholar 

  18. Iivonen, J., Mäntylä, M.V., Itkonen, J.: Characteristics of high performing testers: a case study. In: Proceedings of the 2010 ACM-IEEE International Symposium on Empirical Software Engineering and Measurement, p. Article No. 60. ACM (2010)

    Google Scholar 

  19. Shao, J., Wang, Y.: A new measure of software complexity based on cognitive weights. In: Proceedings of the Canadian Conference on Electrical and Computer Engineering, pp. 1333–1338 (2003)

    Google Scholar 

  20. John, M., Maurer, F., Tessem, B.: Human and social factors of software engineering. In: Proceedings of the 27th International Conference on Software Engineering, p. 686 (2005)

    Google Scholar 

  21. Kaiser, K.M.: The relationship of cognitive style to the derivation of information requirements. Newsl. ACM SIGCPR Comput. Pers. 10(2), 2–12 (1985). http://delivery.acm.org/10.1145/1040000/1036375/p2-kaiser.pdf?ip=194.95.21.161&id=1036375&acc=ACTIVE%20SERVICE&key=2BA2C432AB83DA15%2EA95C2088598DDEA0%2E4D4702B0C3E38B35%2E4D4702B0C3E38B35&__acm__=1566808795_60284fe8dd40b051341a904aea6858bd

  22. King, L.A., Walker, L.M., Broyles, S.J.: Creativity and the five-factor model. J. Res. Pers. 30(2), 189–203 (1996)

    Article  Google Scholar 

  23. Kitchenham, B., Charters, S.: Guidelines for performing systematic literature reviews in software engineering (2007)

    Google Scholar 

  24. Krippendorff, K.: Computing Krippendorff’s alpha reliability. Departmental Papers (ASC), p. 43 (2007)

    Google Scholar 

  25. Landis, J.R., Koch, G.G.: The measurement of observer agreement for categorical data. Biometrics 33(1), 159–174 (1977)

    Article  Google Scholar 

  26. Gallivan, M.J.: Examining it professionals’ adaptation to technological change: the influence of gender and personal attributes. SIGMIS Database 35(3), 28–49 (2004)

    Article  Google Scholar 

  27. Turner, M.: Digital libraries and search engines for software engineering research: an overview (2010). https://community.dur.ac.uk/ebse/resources/notes/tools/SearchEngineIndex_v5.pdf

  28. Marnewick, A., Pretorius, J.H., Pretorius, L.: A perspective on human factors contributing to quality requirements: a cross-case analysis. In: Proceedings of the IEEE International Conference on Industrial Engineering and Engineering Management, pp. 389–393 (2011)

    Google Scholar 

  29. Mizuno, Y.: Software quality improvement. Computer 16(3), 66–72 (1983)

    Article  Google Scholar 

  30. NHMRC: How to review the evidence: systematic identification and review of the scientific literature. National Health and Medical Research Council, Canberra and Australia (2000)

    Google Scholar 

  31. Petticrew, M., Roberts, H.: Systematic Reviews in the Social Sciences: A Practical Guide. Blackwell Pub., Malden (2006)

    Book  Google Scholar 

  32. Pirzadeh, L.: Human factors in software development: a systematic literature review (2010)

    Google Scholar 

  33. Prechelt, L., et al.: Comparing Java vs. C/C++ efficiency differences to interpersonal differences. Commun. ACM 42(10), 109–112 (1999)

    Article  Google Scholar 

  34. Rigby, P.C., Hassan, A.E.: What can OSS mailing lists tell us? A preliminary psychometric text analysis of the apache developer mailing list. In: Proceedings of the Fourth International Workshop on Mining Software Repositories, p. 23 (2007)

    Google Scholar 

  35. Rilling, J., Klemola, T.: Identifying comprehension bottlenecks using program slicing and cognitive complexity metrics. In: Proceedings of the 11th IEEE International Workshop on Program Comprehension, pp. 115–124 (2003)

    Google Scholar 

  36. Beecham, S., Baddoo, N., Hall, T., Sharp, H.: Protocol for a systematic literature review of motivation in software engineering, September 2006. http://uhra.herts.ac.uk/handle/2299/992

  37. Hanenberg, S.: Faith, hope, and love: an essay on software science’s neglect of human factors. SIGPLAN Not. 45(10), 933–946 (2010)

    Article  Google Scholar 

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

    Google Scholar 

  39. Salleh, N., Mendes, E., Grundy, J., St. Burch, G.J.: An empirical study of the effects of conscientiousness in pair programming using the five-factor personality model. In: Kramer, J., Bishop, J., Devanbu, P., Uchitel, S. (eds.) Software Engineering, pp. 577–586. ACM Press, New York (2010). https://doi.org/10.1145/1806799.1806883

    Chapter  Google Scholar 

  40. Shoaib, L., Nadeem, A., Akbar, A.: An empirical evaluation of the influence of human personality on exploratory software testing. In: Proceedings of the IEEE 13th International Multitopic Conference, pp. 1–6 (2009)

    Google Scholar 

  41. Specht, J., Egloff, B., Schmukle, S.C.: Stability and change of personality across the life course: the impact of age and major life events on mean-level and rank-order stability of the big five. J. Pers. Soc. Psychol. 101(4), 862–882 (2011)

    Article  Google Scholar 

  42. Bergin, S., Reilly, R.: Programming: factors that influence success. SIGCSE Bull. 37(1), 411–415 (2005)

    Article  Google Scholar 

  43. Yanyan, Z., Renzuo, X.: The basic research of human factor analysis based on knowledge in software engineering. In: Proceedings of the International Conference on Computer Science and Software Engineering, pp. 1302–1305 (2008)

    Google Scholar 

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Acknowledgments

The present work as part of the EVELIN project was funded by the German Federal Ministry of Education and Research (Bundesministerium für Bildung und Forschung) under grant number 01PL12022E. The authors are responsible for the content of this publication.

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Authors and Affiliations

  1. Neu-Ulm University of Applied Sciences, Neu-Ulm, Germany

    Erica Weilemann & Philipp Brune

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  1. Erica Weilemann
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  2. Philipp Brune
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Correspondence to Erica Weilemann .

Editor information

Editors and Affiliations

  1. Departamento de Engenharia Informática, Universidade de Coimbra, Coimbra, Portugal

    Álvaro Rocha

  2. College of Engineering, The Ohio State University, Columbus, OH, USA

    Hojjat Adeli

  3. FEUP, Universidade do Porto, Porto, Portugal

    Luís Paulo Reis

  4. DIMES, Università della Calabria, Arcavacata, Italy

    Sandra Costanzo

  5. Faculty of Electrical Engineering, University of Montenegro, Podgorica, Montenegro

    Irena Orovic

  6. Universidade Portucalense, Porto, Portugal

    Fernando Moreira

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Weilemann, E., Brune, P. (2020). The Influence of Personality on Software Quality – A Systematic Literature Review. In: Rocha, Á., Adeli, H., Reis, L., Costanzo, S., Orovic, I., Moreira, F. (eds) Trends and Innovations in Information Systems and Technologies. WorldCIST 2020. Advances in Intelligent Systems and Computing, vol 1159. Springer, Cham. https://doi.org/10.1007/978-3-030-45688-7_75

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