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A Review of Machine Learning Techniques for Software Quality Prediction

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Advanced Computing and Intelligent Engineering

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1089))

Abstract

Successful implementation of a software product entirely depends on the quality of the software developed. However, prediction of the quality of a software product prior to its implementation in real-world applications presents significant challenges to the software developer during the process of development. A limited spectrum of research in this area has been reported in the literature as of today. Most of the researchers have concentrated their research work on software quality prediction using various machine learning techniques. Another aspect pertaining to software quality prediction is that the prediction must be achieved in the earlier stages of software development life cycle in order to reduce the amount of effort required by the developer in course of the development of a software product. In this paper, we carry out a comprehensive review of machine learning techniques which have been used to predict software quality.

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Author information

Authors and Affiliations

  1. Department of Software Engineering, Université des Mascareignes, Beau Bassin-Rose Hill, Mauritius

    Sanjeev K. Cowlessur

  2. Department of Computer Science and Engineering, Siksha ‘O’ Anusandhan Deemed to be University, Bhubaneswar, India

    Saumendra Pattnaik & Binod Kumar Pattanayak

Authors
  1. Sanjeev K. Cowlessur
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  2. Saumendra Pattnaik
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  3. Binod Kumar Pattanayak
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Corresponding author

Correspondence to Sanjeev K. Cowlessur .

Editor information

Editors and Affiliations

  1. Department of Computer Science, Rama Devi Women’s University, Bhubaneswar, Odisha, India

    Bibudhendu Pati

  2. Department of Computer Science, Rama Devi Women’s University, Bhubaneswar, Odisha, India

    Chhabi Rani Panigrahi

  3. Cloud Computing, The University of Melbourne, Melbourne, VIC, Australia

    Rajkumar Buyya

  4. Department of Computer Science and Information Engineering, Providence University, Taichung, Taiwan

    Kuan-Ching Li

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Cowlessur, S.K., Pattnaik, S., Pattanayak, B.K. (2020). A Review of Machine Learning Techniques for Software Quality Prediction. In: Pati, B., Panigrahi, C., Buyya, R., Li, KC. (eds) Advanced Computing and Intelligent Engineering. Advances in Intelligent Systems and Computing, vol 1089. Springer, Singapore. https://doi.org/10.1007/978-981-15-1483-8_45

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  • DOI: https://doi.org/10.1007/978-981-15-1483-8_45

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-1482-1

  • Online ISBN: 978-981-15-1483-8

  • eBook Packages: EngineeringEngineering (R0)

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