a framework for methodologies of visual modeling language evaluation
Structures at the meta level are needed to organize our knowledge. They improve our understanding of concepts, increase our precision and analytical possibilities and constitute the foundations for information processing and communication. They can also serve as flexible and progressive research programmes. This paper presents a framework for methodologies of Visual Modeling Language (VML) evaluation which can be viewed as a flexible structure for organizing knowledge about VML-related issues and methodologies of VML evaluation. It was constructed with the use of inspirations from philosophy of science and knowledge management. The framework can be viewed as a kind of research programme - it is likely to facilitate progress in understanding the phenomenon of VML in the interdisciplinary context and help in the development of the methods of VML evaluation. Second, it provides a flexible platform for information collection about the state-of-the-art and for classification and comparison of the evaluation methods. Third, it can be applied for describing empirical studies, which verify these methods and allow to perform meta-analysis of the results. Finally, VML designers may find it useful for expressing their requirements and selecting proper methods of VML evaluation.
frameworks research programmes visual modeling languages (vml) quality in modeling