Abstract
In this paper, we report on our experiences integrating OCL evaluation support in an industrial-strength (meta-)modeling infrastructure. We focus on the approach taken to improve efficiency through what we call impact analysis of model changes to decrease the number of necessary (re-)evaluations. We show how requirements derived from application scenarios have led to design decisions that depart from or resp. extend solutions found in (academic) literature. © Springer-Verlag Berlin Heidelberg 2007.
Cite
CITATION STYLE
Altenhofen, M., Hettel, T., & Kusterer, S. (2007). OCL support in an industrial environment. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4364 LNCS, pp. 169–178). Springer Verlag. https://doi.org/10.1007/978-3-540-69489-2_21
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