Mauro Marinilli
ABSTRACT
This paper introduces an approach to knowledge representation and processing based on representing information that changes during program execution using metamodel instances. In this way both runtime data and program code can be dynamically adapted to the problem at hand (in traditional software only data is designed to change at runtime). The details of the proposed approach and some prototype systems are presented and discussed.
- Marinilli, M. and Micarelli, A. Generative Programming Driven by User Models, in Proceedings of Tenth International Conference on User Modeling (UM-05), Edinburgh, U.K. 2005. Google Scholar
Digital Library
- Jèzèquel, J.-M. Model-Driven Engineering: Core Principles and Challenges. 2004. Available at: http://www.irisa.fr/triskell/publis/2003/Jezequel03e.pdf.Google Scholar
- Marinilli, M. "Cognitive Modeling of Personalized Software Design Styles - A case Study in e-learning". In Pierre, S. (Editor) In: E-Learning Networked Environments and Architectures: A Knowledge Processing Perspective Springer Verlag. (expected November 2005).Google Scholar
- Marinilli, M. Model-Driven, User Adapted Systems and Applications. Ph.D. Thesis, University of Roma Tre, Italy, 2005.Google Scholar
Index Terms
- Self-designing software
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