Skip to main content

Soft Modeling of Group Dynamics and Behavioral Attributes

  • Conference paper
Soft Computing as Transdisciplinary Science and Technology

Part of the book series: Advances in Soft Computing ((AINSC,volume 29))

Abstract

Social networks, religion and culture of human beings play a major role in the day-to-day activities performed by each individual in group oriented missions. The aggregation and inertia in the group are typically important to achieve the goal. A leader being the most dominant and knowledgeable, with leadership qualities, steers movements, thought processes, and actions of the individuals of his/her group. However the psychology of each individual is unique. This complex behavior is often observed in the software development projects, where the cognitive attributes and contribution of programmer’s mind are some of the important features to develop a project. This paper proposes a model for the behavior of programmers (software developers) in a development project by incorporating fuzzy logic as a tool. The implication of this model also assists in gaining substantial information about the learning environment of the programmer during the actual implementation and post session o f the project and at the same time also helps to evolve the concept of Virtual Project Leader (VPL) for similar projects.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Gary R., George and Cardullo Frank, Research paper on, Application of Neuro Fuzzy System to Behavioral Representation in Computer Generated Forces, http://citeseer.ist.psu.edu/george99application.html, 1999.

    Google Scholar 

  2. Helbing D., A Mathematical Model for the behavior of Pedestrians, Behavioral Science, 36,4, pp. 298–310, 1991.

    Article  Google Scholar 

  3. Ali Idri, Alain Abran, A Fuzzy Logic Based Set of Measures for Software Project Similarity: Validation and Possible Improvements, 7th IEEE International Software Metrics Symposium, IEEE Computer Society, pp. 85–97, 2001.

    Google Scholar 

  4. Gray, W. D., Schoelles, M. J. and & Fu W.T., Modeling a Continuous Dynamic Task, Proceedings of the 3rd International Conference on Cognitive Modeling pp. 156–168, 2000.

    Google Scholar 

  5. Kurosu, K., Furuya, T., Nakamura, M. Utsunomiya, H. and Soeda, M., Dynamic and Fuzzy Control of a Group, IEEE International Workshop on Emerging Technologies and Factory Automation, pp. 572–577, 1992.

    Google Scholar 

  6. M. W. Eysenck, M.T. Keane, Cognitive Psychology, A Student’s Rawbook, 1990.

    Google Scholar 

  7. Maurizio Morisio, How to Study Individual Programmers, In Proceedings of 22nd International Conference on Software Engineering, Ireland, http://citeseer.ist.psu.edu/684393.html

    Google Scholar 

  8. Musse S.R., Thalman D, Computer Animation and Simulations, Proceedings Eurographics workshop, Budapest Springer Verlag, pp. 39–51, 1997.

    Google Scholar 

  9. Noriko Hanakawa et al., A Software Development Process Simulation Model based on Dynamic changes in Developer’s Knowledge Structure”, in International Journal of the Annals of S/w Engineering. Vol. 14, pp. 383–406, Oct. 2002.

    MATH  Google Scholar 

  10. Noriko Hanakawa, Ken-ichi Matsumoto, Katsuro Inoue, and Koji Torii, A Software Development Simulation Model based on Dynamic Changes in Developer’s Knowledge Structure, International Workshop on Software Process Simulation Modeling, England, 2000.

    Google Scholar 

  11. Noriko Hanakawa, Syuji Morisaki and Kenichi Matsumoto, Application of Learning Curve Based Simulation Model for Software Development to Industry, In Proc. 20th International Conference on Software Engineering, pp. 350–359, 1998.

    Google Scholar 

  12. Moström, J. E. and D. Carr, Programming Paradigms and Program Comprehension, Proceedings of the 10th Annual Workshop of the Psychology of Programmers Interest Group, UK, pp. 117–127, 1998.

    Google Scholar 

  13. Zaphiris, P., Kurniawan, S.H., Ellis, R.D. Mathematical Formulation of Age Related Differences in Mouse Movement Tasks. In C. Stephanidis (Ed.), Universal Access in HCI, 2003, Lawrence Erlbaum, USA, pp. 917–921. 2003.

    Google Scholar 

  14. Boehm B., Software Engineering Economics. Prentice Hall, 1981.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2005 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Banerjee, S., Abraham, A., Han, S.Y., Mahanti, P.K. (2005). Soft Modeling of Group Dynamics and Behavioral Attributes. In: Abraham, A., Dote, Y., Furuhashi, T., Köppen, M., Ohuchi, A., Ohsawa, Y. (eds) Soft Computing as Transdisciplinary Science and Technology. Advances in Soft Computing, vol 29. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-32391-0_18

Download citation

  • DOI: https://doi.org/10.1007/3-540-32391-0_18

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-25055-5

  • Online ISBN: 978-3-540-32391-4

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics