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Bug Triaging: Right Developer Recommendation for Bug Resolution Using Data Mining Technique

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Emerging Research in Computing, Information, Communication and Applications

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 790))

Abstract

Most of the open-source projects consist of open-source bug repositories. Users report the bugs frequently to these open-source bug repositories. The bugs are typically non-technical and cannot be assigned to the correct class. Triaging these bugs is extremely time-consuming. Developers are expected to be expertise in specific areas. For example, some developers are experts of GUI and while others in Java applications. Assigning a particular bug to respective developer could save time and would help the developers according to their requirements. However, assigning correct bug to respective developer is quite difficult for triager without knowing the actual class, to which the bug belongs. Bugs are inevitable and bug triaging is a challenging, time-consuming, tedious and expensive task, particularly the software bugs. Larger software projects include more of incoming bug reports than in smaller projects. Triaging these bug reports is a tough and time consuming. Part of the bug triaging process is assigning a newly arrived bug report to a developer who can successfully resolve the bug. Automatic assignment of the bug to the right developer based on the developer’s experience and skills for the bug fixation is achieved.

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Author information

Authors and Affiliations

  1. Department of Information Science and Engineering, NITTE Meenakshi Institute of Technology, Bengaluru, India

    B. H. Chaitra & K. S. Swarnalatha

Authors
  1. B. H. Chaitra
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  2. K. S. Swarnalatha
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Corresponding author

Correspondence to K. S. Swarnalatha .

Editor information

Editors and Affiliations

  1. Nitte Meenakshi Institute of Technology, Bengaluru, Karnataka, India

    N. R. Shetty

  2. National Institute of Advanced Studies, Bengaluru, Karnataka, India

    L. M. Patnaik

  3. Nitte Meenakshi Institute of Technology, Bengaluru, Karnataka, India

    H. C. Nagaraj

  4. Nitte Meenakshi Institute of Technology, Bengaluru, Karnataka, India

    Prasad N. Hamsavath

  5. Nitte Meenakshi Institute of Technology, Bengaluru, Karnataka, India

    N. Nalini

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© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Chaitra, B.H., Swarnalatha, K.S. (2022). Bug Triaging: Right Developer Recommendation for Bug Resolution Using Data Mining Technique. In: Shetty, N.R., Patnaik, L.M., Nagaraj, H.C., Hamsavath, P.N., Nalini, N. (eds) Emerging Research in Computing, Information, Communication and Applications. Lecture Notes in Electrical Engineering, vol 790. Springer, Singapore. https://doi.org/10.1007/978-981-16-1342-5_47

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  • DOI: https://doi.org/10.1007/978-981-16-1342-5_47

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-16-1341-8

  • Online ISBN: 978-981-16-1342-5

  • eBook Packages: EngineeringEngineering (R0)

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