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Automated Tool for Extraction of Software Fault Data

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Advances in Data and Information Sciences

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 38))

Abstract

Open-source software repositories contain lots of useful information related to software development, software design, and software’s common error patterns. To access the software quality an automated software fault data extraction and preparation, which can be used for further prediction is still a major issue. Prediction of software fault has recently attracted the attention of software engineers. These prediction models require training fault data of projects. The fault training data contains information of software metrics and related bug information, and these data have to be prepared for each project. But it is not so easy to collect and prepare the fault data for the prediction model. We developed an automatic tool which extracts and prepares fault data for the prediction models. By using these automatic tools, we have extracted the data from the open-source projects developed in various languages. Extraction of fault data of various projects which includes source code and related defects from open-source software repository is performed. Various versions of open-source project software were taken from source forge and used for this purpose.

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Acknowledgements

This study is partially supported by Chhattisgarh Council of Science and Technology (CGCOST) C.G. under Grant 8068/CCOST. The findings and opinions in this study belong solely to the authors and are not necessarily those of the sponsor.

Author information

Authors and Affiliations

  1. Department of Computer Science and Engineering, National Institute of Technology, Raipur, India

    Pradeep Singh

  2. Electronics & Telecommunication Engineering, National Institute of Technology, Raipur, India

    Shrish Verma

Authors
  1. Pradeep Singh
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  2. Shrish Verma
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Corresponding author

Correspondence to Pradeep Singh .

Editor information

Editors and Affiliations

  1. Smart Grid and Renewable Energy, University of Agder, Kristiansand, Norway

    Mohan L. Kolhe

  2. Department of Computer Science and Engineering, ABES Engineering College, Ghaziabad, Uttar Pradesh, India

    Munesh C. Trivedi

  3. Department of Computer Science and Engineering, ABES Engineering College, Ghaziabad, Uttar Pradesh, India

    Shailesh Tiwari

  4. Department of Computer Science and Engineering, The Indira Gandhi National Tribal University, Amarkantak, Madhya Pradesh, India

    Vikash Kumar Singh

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Singh, P., Verma, S. (2018). Automated Tool for Extraction of Software Fault Data. In: Kolhe, M., Trivedi, M., Tiwari, S., Singh, V. (eds) Advances in Data and Information Sciences. Lecture Notes in Networks and Systems, vol 38. Springer, Singapore. https://doi.org/10.1007/978-981-10-8360-0_3

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  • DOI: https://doi.org/10.1007/978-981-10-8360-0_3

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-8359-4

  • Online ISBN: 978-981-10-8360-0

  • eBook Packages: EngineeringEngineering (R0)

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