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A Set of Rules for Constructing Gender-Based Personality Types’ Composition for Software Programmer

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Proceedings of the International Conference on Data Engineering 2015 (DaEng-2015)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 520))

Abstract

The current era has been declared as technological era where both profit and no-profit organisations rely solely on software to cope with myriad issues they typically face. The growing demand for software has equally placed challenging tasks on workplaces to produce quality and reliable software. Unfortunately, software development industries have drastically failed to produce software in due time or even if software is produced in time but it fails to yield the desired results. Keeping this problem in view, this study tried to address this problem by offering team composition model lucrative for software development. For instance, Personality types, especially Introvert (I) and Extrovert (E) traits, of team members of software development are explored with gender diversity with a key focus on the programmer role. Moreover, descriptive and predictive approaches were applied to gain the hidden facts from data. The data of this study was taken from both academia and industry to establish the generalizability in the findings. Additionally, different personality traits composition was set based on gender which was not studied in previous studies. The findings of this research suggest that male-programmer should be composed of E trait of personality and, whereas female-programmer should be I. The overall findings contribute to serve the cause of software development team and also contribute to the existing literature on software development and its team composition.

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References

  1. Cashin, P., Mohaddes, k, Raissi, M., Raissi, M.: The differential effects of oil demand and supply shocks on the global economy. Energy Econ. 44, 113–134 (2014)

    Article  Google Scholar 

  2. Bang, B.: BIG BANG BOOM, pp. 1–12 (2014)

    Google Scholar 

  3. Wysocki Jr, B.: Some Firms, let down by costly computers, opt to ‘De-engineer. Wall Str. J. 150(84) (1998)

    Google Scholar 

  4. Keil, M., Rai, A., Cheney Mann, J.E., Zhang, G.P.: Why software projects escalate: the importance of project management constructs. IEEE Trans. Eng. Manag. 50(3), 251–261 (2003)

    Article  Google Scholar 

  5. Glass, R.L.: Short-term and long-term remedies for runaway projects. Commun. ACM 41(7), 13–15 (1998)

    Article  Google Scholar 

  6. Gulla, J.: Seven reasons why information technology projects fail, IBM Corp., vol. 11. August (2011)

    Google Scholar 

  7. Martínez, L.G., Rodríguez-Díaz, A., Licea, G., Castro, J. R.: Big five patterns for software engineering roles using an ANFIS learning approach with RAMSET. In: Advances in Soft Computing, pp. 428–439. Springer (2010)

    Google Scholar 

  8. 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)

    Article  Google Scholar 

  9. 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 

  10. Koroutchev, K., Acuña, S.T., Gómez, M.N.: The Social environment as a determinant for the impact of the big five personality factors and the group’s performance. Int. J. Hum. Cap. Inf. Technol. Prof. 4(1), 1–8 (2013)

    Google Scholar 

  11. Omar, M., Syed-Abdullah, S.-L., and Hussin, N. M.: Developing a team performance prediction model: a rough sets approach. In: Informatics Engineering and Information Science, pp. 691–705. Springer (2011)

    Google Scholar 

  12. Colomo-Palacios, R., Tovar-Caro, E., García-Crespo, Á., Gómez-Berbís, J.M.: Identifying technical competences of IT professionals: the case of software engineers. Int. J. Hum. Cap. Inf. Technol. Prof. 1(1), 31–43 (2010)

    Google Scholar 

  13. Šmite, D., Wohlin, C., Gorschek, T., Feldt, R.: Empirical evidence in global software engineering: a systematic review. Empir. Softw. Eng. 15(1), 91–118 (2010)

    Article  Google Scholar 

  14. Kankanhalli, A., Tan, B.C.Y., Wei, K.-K., Holmes, M.C.: Cross-cultural differences and information systems developer values. Decis. Support Syst. 38(2), 183–195 (2004)

    Article  Google Scholar 

  15. Carmel, E., Agarwal, R.: Tactical approaches for alleviating distance in global software development. IEEE Softw. 18(2), 22–29 (2001)

    Article  Google Scholar 

  16. Muchiri, M.K., Ayoko, O.B.: Linking demographic diversity to organisational outcomes: the moderating role of transformational leadership. Leadersh. Organ. Dev. J. 34(5), 384–406 (2013)

    Article  Google Scholar 

  17. Liang, T.-P., Liu, C.-C., Lin, T.-M., Lin, B.: Effect of team diversity on software project performance. Ind. Manag. Data Syst. 107(5), 636–653 (2007)

    Article  Google Scholar 

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

    Article  Google Scholar 

  19. Cruzes, D.S., Dybå, T.: Research synthesis in software engineering: a tertiary study. Inf. Softw. Technol. 53(5), 440–455 (2011)

    Article  Google Scholar 

  20. da Silva, F.Q.B., França, A.C.C., Suassuna, M., de Sousa Mariz, L.M., Rossiley, I., de Miranda, R.C., Gouveia, T.B., Monteiro, C.V., Lucena, E., Cardozo, E.S., Espindola, E.: Team building criteria in software projects: a mix-method replicated study. Inf. Softw. Technol. 55(7), 1316–1340 (2013)

    Google Scholar 

  21. Dingsøyr, T., Dybå, T.: Team Effectiveness in Software Development Human and Cooperative Aspects in Team Effectiveness Models and Priorities for Future Studies, no. 7465, pp. 27–29 (2012)

    Google Scholar 

  22. Capretz, L.F., Ahmed, F.: Making sense of software development and personality types. IT Prof. 12(1), 6–13 (2010)

    Article  Google Scholar 

  23. Cruz, S.S.J.O., da Silva, F.Q.B., Monteiro, C.V.F., Santos, C.F., dos Santos, M.T.: Personality in software engineering: preliminary findings from a systematic literature review. In: 15th Annual Conference on Evaluation and Assessment in Software Engineering (EASE 2011), pp. 1–10 (2011)

    Google Scholar 

  24. McLeod, L., MacDonell, S.G.: Factors that affect software systems development project outcomes. ACM Comput. Surv. 43(4), 1–56 (2011)

    Article  Google Scholar 

  25. Richards, D., Busch, P.: Knowing-doing gaps in ICT: gender and culture. VINE 43(3), 264–295 (2013)

    Article  Google Scholar 

  26. Gilal, A.R., Jaafar, J., Omar, M., Tunio, M.Z.: Impact of personality and gender diversity on software development teams’ performance. In: International Conference on Computer, Communication, and Control Technology (I4CT 2014), IEEE, pp. 261–265 (2014)

    Google Scholar 

  27. Trauth, E.M.: Theorizing gender and information technology research. Encycl. Gend. Inf. Technol. 2, 1154–1159 (2006)

    Google Scholar 

  28. Capretz, L.F., Ahmed, F.: Why do we need personality diversity in software engineering? ACM SIGSOFT Softw. Eng. Notes 35(2), 1 (2010)

    Article  Google Scholar 

  29. Peslak, A.R.: The impact of personality on information technology team projects. In: Proceedings of the 2006 ACM SIGMIS CPR conference on computer personnel research: Forty four years of computer personnel research: achievements, challenges and the future, pp. 273–279 (2006)

    Google Scholar 

  30. Woehr, D.J., Arciniega, L.M., Poling, T.L.: Exploring the effects of value diversity on team effectiveness. J. Bus. Psychol. 28(1), 107–121 (2013)

    Article  Google Scholar 

  31. Dombrowski, C., Kim, J.Y., Desouza, K.C., Braganza, A., Papagari, S., Baloh, P., Jha, S.: Elements of innovative cultures. Knowl. Process Manag. 14(3), 190–202 (2007)

    Article  Google Scholar 

  32. Harrison, D.A., Price, K.H., Gavin, J.H., Florey, A.T.: Time, teams, and task performance: changing effects of surface-and deep-level diversity on group functioning. Acad. Manag. J. 45(5), 1029–1045 (2002)

    Article  Google Scholar 

  33. Gilal, A.R., Omar, M., Sharif, K.I.: Discovering personality types and diversity based on software team roles. In: International Conference on Computing and Informatics, ICOCI 2013, pp. 259–264 (2013)

    Google Scholar 

  34. Gilal, A.R., Omar, M., Sharif, K.I.: A rule-based approach for discovering effective software team composition. J. ICT 13(2014), 1–20 (2014)

    Google Scholar 

  35. Hsu, C.-W., Lin, C.-J.: A comparison of methods for multiclass support vector machines. IEEE Trans. Neural Netw. 13(2), 415–425 (2002)

    Article  Google Scholar 

  36. Bakar, A. A., Kefli, Z., Abdullah, S., Sahani, M.: Predictive models for dengue outbreak using multiple rulebase classifiers. In: 2011 International Conference on Electrical Engineering and Informatics (ICEEI), pp. 1–6 (2011)

    Google Scholar 

  37. en Hvidsten, T.R.: Fault diagnosis in rotating machinery using rough set theory and ROSETTA (1999)

    Google Scholar 

  38. Costa Jr., P.T., McCrae, R.R.: Personality stability and its implications for clinical psychology. Clin. Psychol. Rev. 6(5), 407–423 (1986)

    Article  Google Scholar 

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Correspondence to Abdul Rehman Gilal .

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Gilal, A.R., Jaafar, J., Omar, M., Basri, S., Aziz, I.D.A. (2019). A Set of Rules for Constructing Gender-Based Personality Types’ Composition for Software Programmer. In: Abawajy, J., Othman, M., Ghazali, R., Deris, M., Mahdin, H., Herawan, T. (eds) Proceedings of the International Conference on Data Engineering 2015 (DaEng-2015) . Lecture Notes in Electrical Engineering, vol 520. Springer, Singapore. https://doi.org/10.1007/978-981-13-1799-6_38

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