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Study of Information Retrieval and Machine Learning-Based Software Bug Localization Models

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Advances in Computing and Intelligent Systems

Part of the book series: Algorithms for Intelligent Systems ((AIS))

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Abstract

Software bug localization (SBL) is a process of finding out the location of bug that causes the failure of some functionality in the application. There are many different methods of performing SBL like analysing of execution traces, information retrieval and manual debugging. Information retrieval (IR) based models works as same as simple search query model in which bug report is taken as query. In this paper, we perform an empirical study for verifying the effectiveness of VSM. Based on TFIDF modelling, the results are experimented on four datasets and evaluated with TOPK, MAP and MRR metrics. In addition to this, review of existing machine learning and deep learning-based SBL models are also presented because of their effective power and improved results in localization accuracy.

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Acknowledgements

This work is sponsored by the National Project Implementation Unit (NPIU) under TEQIP-III of Guru Jambheshwar University of Science and Technology, Hisar.

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Authors and Affiliations

  1. Department of Computer Science and Engineering, Guru Jambheshwar University of Science and Technology, Hisar, Haryana, India

    Tamanna & Om Prakash Sangwan

Authors
  1. Tamanna
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  2. Om Prakash Sangwan
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Corresponding author

Correspondence to Tamanna .

Editor information

Editors and Affiliations

  1. Rajasthan Technical University, Kota, Rajasthan, India

    Harish Sharma

  2. University of Southern Denmark, Odense, Denmark

    Kannan Govindan

  3. Amity University, Jaipur, Rajasthan, India

    Ramesh C. Poonia

  4. Amity University, Jaipur, Rajasthan, India

    Sandeep Kumar

  5. University of Bahrain, Zallaq, Bahrain

    Wael M. El-Medany

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Tamanna, Sangwan, O.P. (2020). Study of Information Retrieval and Machine Learning-Based Software Bug Localization Models. In: Sharma, H., Govindan, K., Poonia, R., Kumar, S., El-Medany, W. (eds) Advances in Computing and Intelligent Systems. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-15-0222-4_47

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