Three empirical studies on estimating the design effort of Web applications
ACM Transactions on Software Engineering and Methodology (TOSEM)
Visual specification of measurements and redesigns for domain specific visual languages
Journal of Visual Languages and Computing
A metric-based analysis of web sites in Serbia: first findings
AIC'08 Proceedings of the 8th conference on Applied informatics and communications
Advances in Engineering Software
Integrating a Usability Model into Model-Driven Web Development Processes
WISE '09 Proceedings of the 10th International Conference on Web Information Systems Engineering
A generic approach to improve navigational model usability based upon requirements and metrics
WISE'07 Proceedings of the 2007 international conference on Web information systems engineering
Quality-driven automatic transformation of object-oriented navigational models
CoMoGIS'06 Proceedings of the 2006 international conference on Advances in Conceptual Modeling: theory and practice
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Nowadays, several approaches for developing web applications have been proposed in the literature. Most of them extend existing object-oriented conceptual modeling methods, incorporating new constructors in order to model the navigational structure and the content of web applications. Such new constructors are commonly represented in a Navigational Model. While navigational models constitute the backbone of web application design, their quality has a great impact on the quality of the final product which is actually implemented and delivered. In this paper, we discuss a set of metrics for navigational models that has been proposed for analyzing the quality of web applications in terms of size and structural complexity. These metrics were defined and validated using a formal framework (DISTANCE) for software measure construction that satisfies the measurement needs of empirical software engineering research. Some experimental studies have shown that complexity affects the ability to understand and maintain conceptual models. In order to prove this, we also made acontrolled experiment to observe how the proposed metrics can be used as early maintainability indicators.