Applying Fuzzy Technique in Software Team Formation Based on Belbin Team Role
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.
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