Predicting Error Probability in the Eclipse Project
نویسندگان
چکیده
Object-oriented software metrics have been shown to be able to predict various software quality factors. This paper investigated whether the metrics could predict class error probability and whether the predicted probability could group classes in the object-oriented design. We found, in an open source system, that a set of object-oriented metrics could predict class error probability and the probability could be used to group classes into error and no-error categories with reasonable accuracies.
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تاریخ انتشار 2006