Correlating software metrics with software defects
In software development and testing an interesting issue is checking correlations of observed software defects with
various product and process metrics. Such analysis is helpful in predicting potential defects and optimization of testing
processes. In the paper we present results of deeper studies in this area, they involve many metrics and various prediction
schemes taking into account diverse correlation parameters. Special attention is paid to the problem of selecting most
significant metrics. In the prediction schemes we consider modified and non modified program objects. The presented
analysis methods have been verified in an experimental investigation covering twelve open source projects, for some of
them several subsequent versions have been examined. This is followed by result discussion.