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Analysis of Software Repositories Using Process Mining

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Smart Computing and Informatics

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 78))

Abstract

Software repositories such as Issue Tracking Systems (ITS) log bug history that contains important information about the activities followed during bug resolution. Mining of ITS can provide useful insights of such processes. This study uses process mining to extract knowledge from the event logs recorded in bug history report of ITS Monorail to determine the as-is process model. This study will help in identifying the kind and source of inefficiencies and inconsistencies and eventually help improving the software bug resolution process.

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Author information

Authors and Affiliations

  1. Accenture Solutions Private Limited, Pune, Maharashtra, India

    Roohi Arora

  2. Department of Computer Science & Engineering, Amity School of Engineering & Technology, Amity University Uttar Pradesh, Noida, Uttar Pradesh, India

    Anchal Garg

Authors
  1. Roohi Arora
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  2. Anchal Garg
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Corresponding author

Correspondence to Roohi Arora .

Editor information

Editors and Affiliations

  1. Department of Computer Science Engineering, PVP Siddhartha Institute of Technology, Vijayawada, Andhra Pradesh, India

    Suresh Chandra Satapathy

  2. Department of Electronics and Communication Engineering, Shri Ramswaroop Memorial Group of Professional Colleges, Lucknow, Uttar Pradesh, India

    Vikrant Bhateja

  3. Electronics and Communication Sciences Unit, Indian Statistical Institute, Kolkata, West Bengal, India

    Swagatam Das

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Arora, R., Garg, A. (2018). Analysis of Software Repositories Using Process Mining. In: Satapathy, S., Bhateja, V., Das, S. (eds) Smart Computing and Informatics . Smart Innovation, Systems and Technologies, vol 78. Springer, Singapore. https://doi.org/10.1007/978-981-10-5547-8_65

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  • DOI: https://doi.org/10.1007/978-981-10-5547-8_65

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-5546-1

  • Online ISBN: 978-981-10-5547-8

  • eBook Packages: EngineeringEngineering (R0)

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