Software product metrics used to build defect prediction models

This document presents software product metrics we usually use to build software defect prediction models. 1 Software product metrics This document presents software product metrics we usually use to build software defect prediction models, especially those built by Madeyski and Jureczko [6, 5, 4]. • The metrics suite suggested by Chidamber and Kemerer [2]: Weighted Methods per Class (WMC). The value of the WMC is equal to the number of methods in the class (assuming unity weights for all methods). Depth of Inheritance Tree (DIT). The DIT metric provides for each class a measure of the inheritance levels from the object hierarchy top. Number of Children (NOC). The NOC metric simply measures the number of immediate descendants of the class. Coupling between object classes (CBO). The CBO metric represents the number of classes coupled to a given class (e erent couplings and a erent couplings). These couplings can occur through method calls, eld accesses, inheritance, method arguments, return types, and exceptions.