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Applying Rule Induction in Software Prediction

Applying Rule Induction in Software Prediction

Bhekisipho Twala, Michelle Cartwright, Martin Shepperd
Copyright: © 2007 |Pages: 22
ISBN13: 9781591409410|ISBN10: 1591409411|ISBN13 Softcover: 9781591409427|EISBN13: 9781591409434
DOI: 10.4018/978-1-59140-941-1.ch011
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MLA

Twala, Bhekisipho, et al. "Applying Rule Induction in Software Prediction." Advances in Machine Learning Applications in Software Engineering, edited by Du Zhang and Jeffery J.P. Tsai, IGI Global, 2007, pp. 265-286. https://doi.org/10.4018/978-1-59140-941-1.ch011

APA

Twala, B., Cartwright, M., & Shepperd, M. (2007). Applying Rule Induction in Software Prediction. In D. Zhang & J. Tsai (Eds.), Advances in Machine Learning Applications in Software Engineering (pp. 265-286). IGI Global. https://doi.org/10.4018/978-1-59140-941-1.ch011

Chicago

Twala, Bhekisipho, Michelle Cartwright, and Martin Shepperd. "Applying Rule Induction in Software Prediction." In Advances in Machine Learning Applications in Software Engineering, edited by Du Zhang and Jeffery J.P. Tsai, 265-286. Hershey, PA: IGI Global, 2007. https://doi.org/10.4018/978-1-59140-941-1.ch011

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Abstract

Recently, the use of machine learning (ML) algorithms has proven to be of great practical value in solving a variety of software engineering problems including software prediction, for example, cost and defect processes. An important advantage of machine learning over statistical analysis as a modelling technique lies in the fact that the interpretation of production rules is more straightforward and intelligible to human beings than, say, principal components and patterns with numbers that represent their meaning. The main focus of this chapter is upon rule induction (RI): providing some background and key issues on RI and further examining how RI has been utilised to handle uncertainties in data. Application of RI in prediction and other software engineering tasks is considered. The chapter concludes by identifying future research work when applying rule induction in software prediction. Such future research work might also help solve new problems related to rule induction and prediction.

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