relation: https://khub.utp.edu.my/scholars/12211/
title: A decision tree model for software development teams
creator: Gilal, A.R.
creator: Omar, M.
creator: Gilal, R.
creator: Waqas, A.
creator: Afridi, S.
creator: Jaafar, J.
description: Different theoretical personality models for team composition proved to be inconsistent, posing validity challenges and missing guidance for personnel selection in software development. Due to these impacting issues, this study has produced a decision tree model for software team composition for effective team performance. The model is based on personality types (i.e., collected using Myer Briggs Type Indicator (MBTI)), gender and team role (i.e., only team leader and programmer) to predict team performance (i.e., effective or ineffective). Experimental data, collected from software engineering students of UniversitiTeknologi Petronas (UTP) Malaysia, was used to develop and validate the model. In order to develop and validate the model, C4.5 algorithm and 10-fold cross validation methods were used respectively. The results indicate thatJudging-Perceiving (JP) personality pair isone of the significant attributes to identify the team performance.At the end, the model was observed acceptable during validation process by obtaining satisfactoryprediction accuracy 70.48. © 2019, Blue Eyes Intelligence Engineering and Sciences Publication. All rights reserved.
publisher: Blue Eyes Intelligence Engineering and Sciences Publication
date: 2019
type: Article
type: PeerReviewed
identifier:   Gilal, A.R. and Omar, M. and Gilal, R. and Waqas, A. and Afridi, S. and Jaafar, J.  (2019) A decision tree model for software development teams.  International Journal of Innovative Technology and Exploring Engineering, 8 (5s).  pp. 241-245.  ISSN 22783075     
relation: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85063681365&partnerID=40&md5=839630ed096753619db4e5ca3fc51308