Software defect prediction using machine learning on test and source code metrics

Context. Software testing is the process of finding faults in software while executing it. The results of the testing are used to find and correct faults. Software defect prediction estimates where faults are likely to occur in source code. The results from the defect prediction can be used to opti-...

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Bibliographic Details
Main Authors: Liljeson, Mattias, Mohlin, Alexander
Format: Others
Language:English
Published: Blekinge Tekniska Högskola, Institutionen för kreativa teknologier 2014
Subjects:
Online Access:http://urn.kb.se/resolve?urn=urn:nbn:se:bth-4162