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A Review of Software Defect Prediction Models

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Data Management, Analytics and Innovation

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 808))

Abstract

This paper analyzes the performance of various software defects prediction techniques. Different datasets have been analyzed for finding defects in various researches. The main aim of this paper is to study many techniques used for predicting defects in software.

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Author information

Authors and Affiliations

  1. Department of CSE, Amity University, Sec-125, Noida, Uttar Pradesh, India

    Harshita Tanwar & Misha Kakkar

Authors
  1. Harshita Tanwar
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  2. Misha Kakkar
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Corresponding author

Correspondence to Harshita Tanwar .

Editor information

Editors and Affiliations

  1. Department of Automatics and Applied Software, Aurel Vlaicu University of Arad, Arad, Romania

    Valentina Emilia Balas

  2. Audyogik Tantra Shikshan Sanstha’s, IICMR, Pune, Maharashtra, India

    Neha Sharma

  3. Faculty of Engineering and Technology, A. K. Choudhury School of Information Technology, Kolkata, West Bengal, India

    Amlan Chakrabarti

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Tanwar, H., Kakkar, M. (2019). A Review of Software Defect Prediction Models. In: Balas, V., Sharma, N., Chakrabarti, A. (eds) Data Management, Analytics and Innovation. Advances in Intelligent Systems and Computing, vol 808. Springer, Singapore. https://doi.org/10.1007/978-981-13-1402-5_7

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  • DOI: https://doi.org/10.1007/978-981-13-1402-5_7

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-1401-8

  • Online ISBN: 978-981-13-1402-5

  • eBook Packages: EngineeringEngineering (R0)

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