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Pattern Analysis, Intelligent Security and the Internet of Things pp 107–115Cite as

Finding the Effectiveness of Software Team Members Using Decision Tree

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 355))

Abstract

This paper presents steps taken in finding the effectiveness of software team members using decision tree technique. Data sets from software engineering (SE) students were collected to establish pattern relationship among four predictor variables—prior academic achievements, personality types, team personality diversity, and software methodology—as input to determine team effectiveness outcome. There are three main stages involved in this study, which are data collection, data mining using decision tree, and evaluation stage. The results indicate that the decision tree technique is able to predict 69.17 % accuracy. This revealed that the four predictor variables are significant and thus should consider in building a team performance prediction model. Future research will be carried to obtain more data and use a hybrid algorithm to improve the model accuracy. The model could facilitate the educators in developing strategic planning methods in order to improve current curriculum in SE education.

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Acknowledgments

The authors wish to thank the Ministry of Education Malaysia for funding this study under Fundamental Research Grant Scheme (FRGS), S/O project:—12818 and Dana Kecemerlangan UiTM, code project:—600-RMI/ST/DANA 5/3/Dst (102/2009).

Author information

Authors and Affiliations

  1. School of Computing, Universiti Utara Malaysia (UUM), 06010, Sintok, Kedah, Malaysia

    Mazni Omar

  2. Department of Computer Sciences, Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA, Arau Campus, 02600, Arau, Perlis, Malaysia

    Sharifah-Lailee Syed-Abdullah

Authors
  1. Mazni Omar
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  2. Sharifah-Lailee Syed-Abdullah
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Correspondence to Mazni Omar .

Editor information

Editors and Affiliations

  1. Scientific Network for Innovation and Research Excellence, Machine Intelligence Research Labs (MIR Labs), Auburn, Washington, USA

    Ajith Abraham

  2. Department of Software Engineering, Universiti Teknikal Malaysia Melaka (UTeM), Durian Tunggal, Malaysia

    Azah Kamilah Muda

  3. Department of Software Engineering Faculty of Info. and Communication Tech., Universiti Teknikal Malaysia Melaka (UTeM), Durian Tunggal, Malaysia

    Yun-Huoy Choo

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Omar, M., Syed-Abdullah, SL. (2015). Finding the Effectiveness of Software Team Members Using Decision Tree. In: Abraham, A., Muda, A., Choo, YH. (eds) Pattern Analysis, Intelligent Security and the Internet of Things. Advances in Intelligent Systems and Computing, vol 355. Springer, Cham. https://doi.org/10.1007/978-3-319-17398-6_10

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  • DOI: https://doi.org/10.1007/978-3-319-17398-6_10

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-17397-9

  • Online ISBN: 978-3-319-17398-6

  • eBook Packages: EngineeringEngineering (R0)

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