System model-based definition of modeling language semantics

27Citations
Citations of this article
29Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

In this paper, we present an approach to define the semantics for object-oriented modeling languages. One important property of this semantics is to support underspecified and incomplete models. To this end, semantics is given as predicates over elements of the semantic domain. This domain is called the system model which is a general declarative characterization of object systems. The system model is very detailed since it captures various relevant structural, behavioral, and interaction aspects. This allows us to re-use the system model as a domain for various kinds of object-oriented modeling languages. As a major consequence, the integration of language semantics is straight-forward. The whole approach is supported by tools that do not constrain the semantics definition's expressiveness and flexibility while making it machine-checkable. © 2009 Springer Berlin Heidelberg.

Cite

CITATION STYLE

APA

Grönniger, H., Ringert, J. O., & Rumpe, B. (2009). System model-based definition of modeling language semantics. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5522 LNCS, pp. 152–166). https://doi.org/10.1007/978-3-642-02138-1_10

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free