A framework to evaluate quality of model-driven web engineering approaches

Resumen

In recent years a high number of Model-Driven Web development approaches have been designed and are being applied with success in real environments. However, as new ones are frequently emerging in this changing time, authors have to change and update them constantly and, consequently, development teams do not know what is the most suitable for them. Furthermore, approaches are usually appearing with different concepts and terminologies in many cases, although all lack the use of standards and practical experience. Thus, the need of managing quality in this type of approaches arises every day. Besides, given the high number of approaches available, it is not only necessary to evaluate the quality of the existing methodologies, but also to find out how it can be improved so that authors and development teams can be provided with helpful information. The first point to consider is authors¿ view; they need to analyze, control, evaluate and improve MDWE approaches. The other point of view to take into account is development teams¿, who need to compare MDWE approaches (depending on project contexts) to decide on the most suitable one for them. The research work of this PhD thesis focuses on quality management of MDWE approaches, especifically for the analysis and evaluation of MDWE approaches or methodologies. The purpose of this PhD thesis is to converge towards an automatic quality continuous improvement on these Web engineering approaches in order to control and enhance quality automatically by reducing effort and time.