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Linear Rule Based Ensemble Methods for the Prediction of Number of Faults

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Book cover Fault Prediction Modeling for the Prediction of Number of Software Faults

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Abstract

Software fault prediction models are highly influenced by the use of learning techniques and characteristics of fault datasets .

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Notes

  1. 1.

    Remove Percentage filter, http://weka.sourceforge.net/doc.dev/weka/filters/unsupervised/instance/RemovePercentage.html.

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Authors and Affiliations

  1. Department of Computer Science and Engineering, ABV-Indian Institute of Information Technology and Management Gwalior, Gwalior, Madhya Pradesh, India

    Santosh Singh Rathore

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

    Sandeep Kumar

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

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Rathore, S.S., Kumar, S. (2019). Linear Rule Based Ensemble Methods for the Prediction of Number of Faults. In: Fault Prediction Modeling for the Prediction of Number of Software Faults. SpringerBriefs in Computer Science. Springer, Singapore. https://doi.org/10.1007/978-981-13-7131-8_4

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  • DOI: https://doi.org/10.1007/978-981-13-7131-8_4

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