Evaluating the usefulness of a functional size measurement procedure to detect defects in MDD models

Models are key artifacts in Model-Driven Development (MDD) methods. To evaluate the quality of models, defect detection is considered to be a suitable approach, which is usually applied using reading techniques. However, new techniques are required in order to find as many defects as possible. This paper presents a case study to evaluate the usefulness of a Functional Size Measurement (FSM) procedure to detect defects in models of a MDD environment. The results indicate that the FSM is useful in finding all the defects that are related to a defect type as well as finding different defect types than an inspection team does.