25th Annual International Computer Software and Applications Conference. COMPSAC 2001
DOI: 10.1109/cmpsac.2001.960620
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Model driven process engineering

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Cited by 17 publications
(13 citation statements)
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“…In model-driven software engineering approach, this is primarily done by starting off with a broad scope or an abstract decomposition of a system or a process, termed as meta-models, with focus on the organization of the meta-models and the relationship with other models (Breton andBezivin 2001, Weston 1999). These generic meta models can then be used to develop more specific ones, thus making them more suitable for reuse.…”
Section: State-of-the-artmentioning
confidence: 99%
See 1 more Smart Citation
“…In model-driven software engineering approach, this is primarily done by starting off with a broad scope or an abstract decomposition of a system or a process, termed as meta-models, with focus on the organization of the meta-models and the relationship with other models (Breton andBezivin 2001, Weston 1999). These generic meta models can then be used to develop more specific ones, thus making them more suitable for reuse.…”
Section: State-of-the-artmentioning
confidence: 99%
“…We can think of the concept of HPS being closely related to model-driven software engineering, where the goal is to develop a framework for reuse of and interoperability between a variety of passive and active information models (Breton and Bezivin 2001). In model-driven software engineering approach, this is primarily done by starting off with a broad scope or an abstract decomposition of a system or a process, termed as meta-models, with focus on the organization of the meta-models and the relationship with other models (Breton andBezivin 2001, Weston 1999).…”
Section: State-of-the-artmentioning
confidence: 99%
“…This approach promotes reuse through a generative strategy. MDE can also be used in software process engineering [7]: using transformations as instantiation strategies [19].…”
Section: Introductionmentioning
confidence: 99%
“…Meta-modeling techniques may also provide some good answers for ensuring the coupling between meta-models. These issues are being discussed in [ 13 and [2].…”
Section: Figure 4: a Hierarchy Of Meta-modelsmentioning
confidence: 99%