Detecting defects in object-oriented designs: using reading techniques to increase software quality
Proceedings of the 14th ACM SIGPLAN conference on Object-oriented programming, systems, languages, and applications
An experimental comparison of reading techniques for defect detection in UML design documents
Journal of Systems and Software
The Pragmatics of Model-Driven Development
IEEE Software
The Evaluation of Large, Complex UML Analysis and Design Models
Proceedings of the 26th International Conference on Software Engineering
Data & Knowledge Engineering - Special issue: Quality in conceptual modeling
Model-Driven Architecture in Practice: A Software Production Environment Based on Conceptual Modeling
Improving Quality of Functional Requirements by Measuring Their Functional Size
IWSM/Metrikon/Mensura '08 Proceedings of the International Conferences on Software Process and Product Measurement
Guidelines for conducting and reporting case study research in software engineering
Empirical Software Engineering
Data & Knowledge Engineering
SERA '10 Proceedings of the 2010 Eighth ACIS International Conference on Software Engineering Research, Management and Applications
Hi-index | 0.02 |
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.