Model evolution and system evolution
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ArticlePublication details: ref_localidad@NULL : Universidad Nacional de La Plata. Facultad de Informática, 2000Description: 1 archivo (258,6 KB)Subject(s): Online resources: Summary: In this paper we define an evolution mechanism with formal semantics using the metamodeling methodology [Geisler et al.98] based on dynamic logic. A remarkable feature of the metamodeling methodology is the ability to define the relation of intentional and extensional entities within one level, allowing not only for the description of structural relations among the modeling entities, but also for a formal definition of structural constraints and dynamic semantics of the modeled entities. While dynamic semantics on the extensional level means run-time behavior, dynamic semantics on intentional level describes model evolution in the system life cycle.
| Item type | Current library | Call number | Status | Date due | Barcode |
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Biblioteca Fac.Informática | A0589 (Browse shelf(Opens below)) | Available | DIF-A0589 |
Formato de archivo: PDF. -- Este documento es producción intelectual de la Facultad de Informática - UNLP (Colección BIPA/Biblioteca)
In this paper we define an evolution mechanism with formal semantics using the metamodeling methodology [Geisler et al.98] based on dynamic logic. A remarkable feature of the metamodeling methodology is the ability to define the relation of intentional and extensional entities within one level, allowing not only for the description of structural relations among the modeling entities, but also for a formal definition of structural constraints and dynamic semantics of the modeled entities. While dynamic semantics on the extensional level means run-time behavior, dynamic semantics on intentional level describes model evolution in the system life cycle.
Journal of Computer Science & Technology; 1(3)
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