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A Rough-Fuzzy Inference System for Selecting Team Leader for Software Development Teams

Jaafar, J. and Gilal, A.R. and Omar, M. and Basri, S. and Aziz, I.A. and Hasan, M.H. (2018) A Rough-Fuzzy Inference System for Selecting Team Leader for Software Development Teams. Advances in Intelligent Systems and Computing, 661 . pp. 304-314.

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Abstract

Inappropriate team composition is one of the important factors that can impact the overall process of software development. Numerous models for team composition have also been suggested, yet they have been disapproved by the researchers and organisations for having ineffectiveness in yielding positive results. Therefore, this study proposes a rough-fuzzy model for selecting team leader for software development teams to avoid the limitations of individual techniques (i.e., Rough Set Theory (RST) or Fuzzy Set Theory (FST)). Moreover, the model development was divided into two portions: Decision Rules Development and Fuzzy Inference System (FIS) development. Johnson Algorithm (JA) was applied using ROSETTA toolkit under rough set theory principles for decision rule construction. Decision rules were then used under Mamdani�s fuzzy inference method. At the end, the developed model was validated based on the results of prediction accuracy and F1-measures. © 2018, Springer International Publishing AG.

Item Type:Article
Impact Factor:cited By 1; Conference of International Conference on Computational Methods in Systems and Software, CoMeSySo 2017 ; Conference Date: 12 September 2017 Through 14 September 2017; Conference Code:197849
Uncontrolled Keywords:Computation theory; Computational methods; Decision theory; Fuzzy inference; Fuzzy set theory; Fuzzy sets; Fuzzy systems; Intelligent systems; Set theory; Software design; Software engineering, Fuzzy inference method; Fuzzy inference systems; Model development; Prediction accuracy; Rough set theory (RST); Rule based; Software development teams; Team composition, Rough set theory
ID Code:21344
Deposited By: Ahmad Suhairi
Deposited On:25 Sep 2018 06:37
Last Modified:25 Sep 2018 06:37

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