Comprehensible software fault and effort prediction: A data mining approach

Julie Moeyersoms; Enric Junqué de Fortuny; Karel Dejaeger; Bart Baesens; David Martens

doi:10.1016/j.jss.2014.10.032

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Comprehensible software fault and effort prediction: A data mining approach

Julie Moeyersoms Enric Junqué de Fortuny Karel Dejaeger Bart Baesens David Martens

Year: 2014 Journal: Journal of Systems and Software Vol: 100 Pages: 80-90 Publisher: Elsevier BV

DOI: 10.1016/j.jss.2014.10.032

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Keywords:

Support vector machine Software Data mining Computer science Predictive modelling Black box Random forest Machine learning Decision tree Artificial intelligence

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Software Engineering Research

Physical Sciences → Computer Science → Information Systems

Software Reliability and Analysis Research

Physical Sciences → Computer Science → Software

Software System Performance and Reliability

Physical Sciences → Computer Science → Computer Networks and Communications

Comprehensible software fault and effort prediction: A data mining approach

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