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Developing Prediction Models to Assist Software Developers and Support Managers

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Computational Science and Its Applications – ICCSA 2017 (ICCSA 2017)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 10408))

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Abstract

A huge amount of historical information about the evolution of a software project is available in software repositories, namely bug repositories, source control repositories, archived communications, deployment logs, and code repositories. By mining the evolutionary history of a software, we have designed prediction models to assist software developers by predicting bug attributes like priority, severity, assignee and fix time. We have evaluated the uncertainty in the software in terms of entropy arises due to source code changes done in files of the software to fix different issues. To support software managers, we have designed prediction models to predict potential values of entropy and different issues, namely bugs, improvements in existing features (IMPs) and new features (NFs) over a long run. In this research work, we have developed mathematical models to assist software managers and developers in bug triaging, bug fixing and different software maintenance related tasks. Our work has been validated on issue and code change data of several open source projects, namely Eclipse, Open office, Mozilla and Apache.

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Author information

Authors and Affiliations

  1. Department of Computer Science, University of Delhi, Delhi, India

    Meera Sharma

  2. SSCBS, University of Delhi, Delhi, India

    Abhishek Tondon

Authors
  1. Meera Sharma
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  2. Abhishek Tondon
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Corresponding author

Correspondence to Meera Sharma .

Editor information

Editors and Affiliations

  1. University of Perugia, Perugia, Italy

    Osvaldo Gervasi

  2. University of Basilicata, Potenza, Italy

    Beniamino Murgante

  3. Covenant University, Ota, Nigeria

    Sanjay Misra

  4. University of Trieste, Trieste, Italy

    Giuseppe Borruso

  5. Polytechnic University of Bari, Bari, Italy

    Carmelo M. Torre

  6. University of Minho, Braga, Portugal

    Ana Maria A.C. Rocha

  7. Monash University, Clayton, Victoria, Australia

    David Taniar

  8. Kyushu Sangyo University, Fukuoka, Japan

    Bernady O. Apduhan

  9. Saint Petersburg State University, Saint Petersburg, Russia

    Elena Stankova

  10. University of Trieste, Trieste, Italy

    Alfredo Cuzzocrea

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Sharma, M., Tondon, A. (2017). Developing Prediction Models to Assist Software Developers and Support Managers. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2017. ICCSA 2017. Lecture Notes in Computer Science(), vol 10408. Springer, Cham. https://doi.org/10.1007/978-3-319-62404-4_41

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  • DOI: https://doi.org/10.1007/978-3-319-62404-4_41

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-62403-7

  • Online ISBN: 978-3-319-62404-4

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