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A machine-based personality oriented team recommender for software development organizations

Yilmaz, Murat and Al-Taei, Ali and O'Connor, Rory (2015) A machine-based personality oriented team recommender for software development organizations. In: 22nd European Conference on Systems, Software and Services Process Improvement (EuroSPI 2015), 30 Sept - 2 Oct 2015, Ankara, Turkey. ISBN 978-3-319-24647-5

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Hiring the right person for the right job is always a challenging task in software development landscapes. To bridge this gap, software_rms start using psychometric instruments for investigating the personality types of software practitioners. In our previous research, we have developed an MBTI-like instrument to reveal the personality types ofsoftware practitioners. This study aims to develop a personality-based team recommender mechanism to improve the e_ectiveness of software teams. The mechanism is based on predicting the possible patterns of teams using a machine-based classi_er. The classi_er is trained with em-pirical data (e.g. personality types, job roles), which was collected from52 software practitioners working on _ve different software teams. 12software practitioners were selected for the testing process who were recommended by the classi_er to work for these teams. The preliminary results suggest that a personality-based team recommender system mayprovide an effective approach as compared with ad-hoc methods of teamformation in software development organizations. Ultimately, the overallperformance of the proposed classi_er was 83.3%. These _ndings seemacceptable especially for tasks of suggestion where individuals might beable to _t in more than one team.

Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Subjects:Computer Science > Software engineering
DCU Faculties and Centres:Research Initiatives and Centres > Lero: The Irish Software Engineering Research Centre
DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Published in:Systems, Software and Services Process Improvement. Communications in Computer and Information Science 543. Springer Verlag. ISBN 978-3-319-24647-5
Publisher:Springer Verlag
Official URL:
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
ID Code:20990
Deposited On:26 Jan 2016 14:04 by Rory O'Connor. Last Modified 26 Jan 2016 14:04

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