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Improved Bug Localization Technique Using Hybrid Information Retrieval Model

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Distributed Computing and Internet Technology (ICDCIT 2016)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9581))

Abstract

The need of bug localization tools and increased popularity of text based IR models to locate the source code files containing bugs is growing continuously. Time and cost required for fixing bugs can be considerably minimized by improving the techniques of reducing the search space from few thousand source code files to a few files. The main contribution of this paper is to propose a Hybrid model based on two existing IR models (VSM and N-gram) for bug localization. In the proposed hybrid model performance is further improved by using word based bigrams. We have also introduced a weighing factor beta β to calculate the weighted sum of unigram and bigram and analyzed its accuracy for values ranging from (0–1). Using TopN, MRR and MAP measures, we have conducted experiments which show that the proposed hybrid model outperforms some existing state-of-art bug localization techniques.

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Author information

Authors and Affiliations

  1. Department of Computer Science and Engineering, Shri Ram Institute of Technology, Jabalpur, Madhya Pradesh, India

    Alpa Gore

  2. Department of Information Technology, Shri Ram Institute of Technology, Jabalpur, Madhya Pradesh, India

    Siddharth Dutt Choubey & Kopal Gangrade

Authors
  1. Alpa Gore
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  2. Siddharth Dutt Choubey
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  3. Kopal Gangrade
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Corresponding author

Correspondence to Alpa Gore .

Editor information

Editors and Affiliations

  1. Microsoft Research, Redmond, Washington, USA

    Nikolaj Bjørner

  2. Indian Institute of Technology Delhi, New Delhi, India

    Sanjiva Prasad

  3. IBM Thomas J. Watson Research Center, Yorktown Heights, New York, USA

    Laxmi Parida

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© 2016 Springer International Publishing Switzerland

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Gore, A., Choubey, S.D., Gangrade, K. (2016). Improved Bug Localization Technique Using Hybrid Information Retrieval Model. In: Bjørner, N., Prasad, S., Parida, L. (eds) Distributed Computing and Internet Technology. ICDCIT 2016. Lecture Notes in Computer Science(), vol 9581. Springer, Cham. https://doi.org/10.1007/978-3-319-28034-9_16

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  • DOI: https://doi.org/10.1007/978-3-319-28034-9_16

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-28033-2

  • Online ISBN: 978-3-319-28034-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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