Applying Fuzzy Technique in Software Team Formation Based on Belbin Team Role
Keywords:
Belbin Team Role, Fuzzy Technique, Software Team, Team Formation,Abstract
Team roles play significant impact in determining the project success. In order to ensure that team can work together, it is essential to ensure that the team members are assigned to the right role with the right characteristics. One of the prevalent team roles is Belbin team role. The team role can guide project manager to form effective team. However, assigning the correct team role is very challenging. Thus, this study demonstrates the use of fuzzy technique to form a software team based on Belbin team role. By using this technique, it can help decision maker to form effective team that have balance characteristics. In order to validate the proposed technique, future works will be carried out by using empirical data in industrial settingReferences
P. Ralph and P. Kelly, “The dimensions of software engineering
success.,” Icse, pp. 24–35, 2014.
C. Ebert and P. De Neve, “Surviving global software development,” IEEE Softw., vol. 18, no. April, 2001.
S. L. Syed-Abdullah, M. Omar, and M. F. I. M. Idris, “Team
achievements equality using fuzzy rule-based technique,” World Appl. Sci. J., vol. 15, no. 3, pp. 359–363, 2011.
B. Senior, “Construct Validity and Team Building,” ISBN, no. August,
pp. 1–39, 2005.
S. E. Humphrey, F. P. Morgeson, and M. J. Mannor, “Developing a theory of the strategic core of teams: a role composition model of team performance.,” J. Appl. Psychol., vol. 94, no. 1, pp. 48–61, 2009.
Belbin, “A comprehensive review of Belbin team roles,” Belbin UK, pp. 1–26, 2014.
D. Partington and H. Harris, “Team role balance and team performance: an empirical study,” Emerald, vol. 18, no. 8, pp. 694–705, 1999.
Belbin, “Frequently asked questions,” Belbin UK, pp. 1–2, 2012.
S. W. J. Kozlowski, & B. S. Bell,"Work Groups and Teams in
Organizations Work Groups and Teams in Organizations," ILR
Collection, pp. 1–70, 2003.
B. W. Tuckman, "Developmental sequence in small groups,"
Psychological Bulletin, vol. 63 no. 6, pp. 384–399, 1965.
R. van Cann, S. Jansen, and S. Brinkkemper, “Optimal Team Composition in Distributed Software Development,” Collab.
Outsourcing A Journey to Qual., no. 2005, p. 160, 2012.
S. S. Hamilton, “Optimizing team selection for educational group projects,” United States Mil. Acad. West Point, 2010.
S. Kr.Misra and A. Ray, “Software developer selection: A holistic approach for an eclectic decision,” Int. J. Comput. Appl., vol. 47, no. 1, pp. 12–18, 2012.
M. R. J. Qureshi, S. A. Alshamat, and F. Sabir, “Significance of the teamwork in agile software engineering,” Lahore Leads Univ., vol. 26, no. 1, pp. 117–120, 2014.
Z. Ezziane, M. Maruthappu, L. Gawn, E. a. Thompson, T. Athanasiou, and O. J. Warren, “Building effective clinical teams in healthcare,” J. Health Organ. Manag., vol. 26, pp. 428–436, 2012.
P. K. Schoenhoff, “Belbin’s company worker, the self-perception inventory, and their application to software engineering teams by Belbin’s company worker,” State University, 2001.
G. Beranek, W. Zuser, and T. Grechenig, “Functional group roles in software engineering teams,” ACM SIGSOFT Softw. Eng. Notes, vol. 30, no. 4, p. 1, 2005.
A. Ounnas, H. Davis, and D. Millard, “A Framework for Semantic Group Formation in Education.,” Educ. Technol. Soc., vol. 12, no. 4, pp. 43–55, 2009.
S. Fatahi and a R. Lorestani, “Design and Implementation of the Expert System for Balancing Team Formation on the Basis of Belbin Team Role,” Engineering, vol. I, 2010.
S. M. Henry and K. Todd Stevens, “Using Belbin’s leadership role to improve team effectiveness: An empirical investigation,” J. Syst. Softw., vol. 44, no. 3, pp. 241–250, 1999.
M. Rajendran, “Analysis of team effectiveness in software development teams working on hardware and software environments using Belbin Self-perception Inventory,” Emerald, 2005.
A. Ounnas, H. Davis, and D. Millard, “A Framework for Semantic Group Formation,” 2008 Eighth IEEE Int. Conf. Adv. Learn. Technol., pp. 6–10, 2008.
J. Wasiak and L. Newnes, “Guiding team selection and the use of the Belbin approach,” DS 48 Proceeding, pp. 1113–1120, 2008.
T.-L. (Bill) Tseng, C.-C. Huang, H.-W. Chu, and R. R. Gung, “Novel approach to multi-functional project team formation,” Int. J. Proj.
Manag., vol. 22, no. 2, pp. 147–159, 2004.
T. Venkatamuni and A. Rao, “Reduction of product development time by team formation method in lean manufacturing,” Indian J. Sci. Technol., vol. 3, no. 5, pp. 578–582, 2010.
R. Van Cann, S. Jansen, and S. Brinkkemper, “Team composition in distributed software development,” Univ. Utr., no. 2005, 2012.
M. Saeed and A. Trab. Software Engineering : Testing Real-Time Embedded Systems Using Timed Automata Based Approaches. Brunel University, 2012.
K. Mukherjee, and A. Bera, “Application of goal programming in project selection decision—A case study from the Indian coal mining industry,”European Journal of Operational Research, vol. 82 no.1, pp. 18–25, 1995.
J.-F. Balmat, F. Lafont, R. Maifret, R., and N. Pessel, “A decisionmaking system to maritime risk assessment,” Ocean Engineering, vol. 38 no. 1, pp. 171–176, 2011.
M. Velasquez and P. T. Hester, “An Analysis of Multi-Criteria Decision Making Methods,” Int. J. Oper. Res., vol. 10, no. 2, pp. 56–66, 2013.
E. Thanassoulis, M.Kortelainen, and R. Allen, “Improving envelopment in data envelopment analysis under variable returns to scale,” European Journal of Operational Research, vol. 218 no. 1, pp. 175–185, 2012.
Y.-M., Wang, R., Greatbanks, and, J.-B. Yang, “Interval efficiency assessment using data envelopment analysis,” Fuzzy Sets and Systems, vol. 153 no. 3, pp. 347–370, 2005.
P. Konidari and D. Mavrakis, “A multi-criteria evaluation method for climate change mitigation policy instruments,” Energy Policy, vol. 35 no. 12, pp. pp. 6235–6257, 2007
X.-S, Qin, G. H. Huang, A. Chakma, X. H., Nie, and Q. G. Lin, “A MCDM-based expert system for climate-change impact assessment and adaptation planning–a case study for the Georgia Basin, Canada,” Expert Systems with Applications, vol. 34 no 3, pp. 2164–2179, 2008.
Y. T. İç, “An experimental design approach using TOPSIS method for the selection of computer-integrated manufacturing technologies, ”Robotics and Computer-Integrated Manufacturing, vol. 28, no. 2, pp. 245–256, 2012.
V. Varun, B. Govindarajan, and S. Nayak, “Speed Control of Induction Motor using Fuzzy Logic approach,” National Institute of Technology -Rourkela, 2012.
P. Rodjito, “Position tracking and motion prediction using Fuzzy
Logic,” Colby College, 2006.
Downloads
Published
How to Cite
Issue
Section
License
TRANSFER OF COPYRIGHT AGREEMENT
The manuscript is herewith submitted for publication in the Journal of Telecommunication, Electronic and Computer Engineering (JTEC). It has not been published before, and it is not under consideration for publication in any other journals. It contains no material that is scandalous, obscene, libelous or otherwise contrary to law. When the manuscript is accepted for publication, I, as the author, hereby agree to transfer to JTEC, all rights including those pertaining to electronic forms and transmissions, under existing copyright laws, except for the following, which the author(s) specifically retain(s):
- All proprietary right other than copyright, such as patent rights
- The right to make further copies of all or part of the published article for my use in classroom teaching
- The right to reuse all or part of this manuscript in a compilation of my own works or in a textbook of which I am the author; and
- The right to make copies of the published work for internal distribution within the institution that employs me
I agree that copies made under these circumstances will continue to carry the copyright notice that appears in the original published work. I agree to inform my co-authors, if any, of the above terms. I certify that I have obtained written permission for the use of text, tables, and/or illustrations from any copyrighted source(s), and I agree to supply such written permission(s) to JTEC upon request.
