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Software Fault Prediction Process

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Software Fault Prediction

Part of the book series: SpringerBriefs in Computer Science ((BRIEFSCOMPUTER))

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Abstract

Accurate detection and early removal of software faults during the software development can reduce the overall cost of software development and can result in the improved software quality product. These inherent advantages of software fault prediction have attracted many researchers to focus on the software fault prediction. Thus, it is a key area to study in the field of software engineering and is subject to many previous studies. The primary goal of software fault prediction (SFP) is to assist the software testing process and to help in the allocation of available software testing and quality assurance resources optimally and economically by raising the alarm for the software code where faults are more likely to occur (Menzies et al. 2010).

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Authors and Affiliations

  1. Department of Computer Science and Engineering, Indian Institute of Technology Roorkee, Roorkee, India

    Sandeep Kumar

  2. Department of Computer Science and Engineering, National Institute of Technology Jalandhar, Jalandhar, India

    Santosh Singh Rathore

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  1. Sandeep Kumar
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  2. Santosh Singh Rathore
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Correspondence to Sandeep Kumar .

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Kumar, S., Rathore, S.S. (2018). Software Fault Prediction Process. In: Software Fault Prediction. SpringerBriefs in Computer Science. Springer, Singapore. https://doi.org/10.1007/978-981-10-8715-8_2

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  • DOI: https://doi.org/10.1007/978-981-10-8715-8_2

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-8714-1

  • Online ISBN: 978-981-10-8715-8

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