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Experiences in software engineering courses using psychometrics with RAMSET

Published:26 June 2010Publication History

ABSTRACT

Lately Programming Psychology has opened up a vast area of study, where human, social and psychological factors of the programmer are studied in different computational areas. His behavior and how to relate with others are important aspects that influence performance of a developing team. In our daily work in education we have an obligation of shaping human resources to build a society with professionals participating in companies and corporations dedicated to industrial, social and economic development. Thus in searching for strategies to shape human resources and improve these group corporations we propose RAMSET a Role Assignment Methodology for Software Engineering Teams where we acknowledge the importance of relating personality with team roles, using sociometric techniques and psychometrics to aid in forming high performing teams for software development projects.

References

  1. Ander-Egg E., Aguilar M.J. 2001. El trabajo en Equipo. Ed. Progreso, México.Google ScholarGoogle Scholar
  2. Guinan, P.J., Cooprider, J.G. and Faraj, S. 1998. Enabling Software Development Team Performance During Requirements Definition: A Behavioral Versus Technical Approach. Information Systems Research. 9, 2 (1998), 101--125. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. Smith, D.C., Bwecher, M., Burns-Howell J. and Kyriakides, J. 2001. Creating High Performance IS Teams. In SAICSIT (Pretoria SouthAfrica 25-28 September 2001) 172--181.Google ScholarGoogle Scholar
  4. J.L. Moreno. 1953. Who Shall Survive? Foundations of Sociometry, Group Psychotherapy and Sociodrama. Beacon House, Inc. Beacon New York.Google ScholarGoogle Scholar
  5. J. Greenbaum, M. Kyng. 1991. Preface of Design at Work: Cooperative Design of Computer Systems, Lawrence Erlbaum Associates, Inc., Hillsdale, NJ. Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. C.G. Jung. 1976. Psychological Types. Bollingen Series XX, 6. Princeton University Press.Google ScholarGoogle Scholar
  7. 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. DOI= 10.1111/j.1744-6570.1991.tb00688.xGoogle ScholarGoogle Scholar
  8. N. Gorla and Y.W. Lam. 2004. Who Should Work With Whom? Building Effective Software Project Teams. Comm. of the ACM. 47, 6 (June 2004) 79--82. Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. Y. Dubinsky and O. Hazzan. 2006. Using a Roles Scheme to Derive Software Project Metrics. Journal of Systems Architecture 52, 11 (November 2006) 693--699. Google ScholarGoogle ScholarDigital LibraryDigital Library
  10. V. Pieterse, D. Kourie and I. Sonnekus. 2006. Software Engineering Team Diversity and Performance. In Proceedings of annual SAICSIT 204 (Somerset West South Africa 2006) 180--186. Google ScholarGoogle ScholarDigital LibraryDigital Library
  11. J. Hogan and R. Thomas. 2005. Developing the Software Engineering Team. In ACM ICPS 106 proceedings of 7th ACCE 42 (Newcastle New South Wales Australia 2005) 203--210. Google ScholarGoogle ScholarDigital LibraryDigital Library
  12. G. Beranek, W. Zuser and Th. Grechenig. 2005. Functional Group Roles in Software Engineering Teams. In HSSE'05 (St. Louis Missouri USA May 2005) 1--5. Google ScholarGoogle ScholarDigital LibraryDigital Library
  13. M. Belbin. 1993. Team Roles at Work. Butterworth-Heinemann.Google ScholarGoogle Scholar
  14. S. Shen, S.D. Prior, A.S. White and M. Karamanoglu. 2007. Using Personality Type Differences to Form Engineering Design Teams. Engineering Education. 2, 2. (2007) 54--66.Google ScholarGoogle ScholarCross RefCross Ref
  15. D.J. Wilde. 2003. Creative teams, individual development and personality classification. ME310 Course Notes. Mechanical Engineering, Stanford UniversityGoogle ScholarGoogle Scholar
  16. A.S. Sodiya, H.O.D. Longe, S.A. Onashoga, O. Awodele. 2007. An Improved Assessment of Personality Traits in Software Engineering. Interdisciplinary Journal of Information, Knowledge, and Management. 2 (2007) 163--177.Google ScholarGoogle ScholarCross RefCross Ref
  17. L. Layman, T. Comwell and L. Williams. 2006. Personality Types, Learning Styles, and an Agile Approach to Software Engineering Education. In ACM 37th SIGSE TSCSE (Houston Texas USA, March 2006)428--432. DOI= http://doi.acm.org/10.1145/1121341.1121474 Google ScholarGoogle ScholarDigital LibraryDigital Library
  18. J.E. Tomayko. 1996. Teaching a Project-Intensive Introduction to Software Engineering. SEI Tech. Rep. Carnegie Mellon University Pittsburgh Pennsylvania.Google ScholarGoogle Scholar
  19. U.S. Department of the Interior. Available: http://permanent.access.gpo.gov/websites/doigov/www.doi.gov/octc/typescar.htmlGoogle ScholarGoogle Scholar
  20. Martinez M. Luis, Licea G., Rodriguez A., Castro J.R. 2010. "Towards a Fuzzy Model for RAMSET: Role Assignment Methodology for Software Engineering Teams". In International Seminar of Computational Intelligence (Tijuana Mexico 19-20 January 2010) ISCI 2010, in press.Google ScholarGoogle Scholar

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            cover image ACM Conferences
            ITiCSE '10: Proceedings of the fifteenth annual conference on Innovation and technology in computer science education
            June 2010
            344 pages
            ISBN:9781605588209
            DOI:10.1145/1822090

            Copyright © 2010 ACM

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            • Published: 26 June 2010

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