Povzetek

Domain-specific modeling (DSM) assists subject matter experts in describing the essential characteristics of a problem in their domain. When a metamodel is lost, repositories of domain models can become orphaned from their defining metamodel. Within the purview of model-driven engineering, the ability to recover the design knowledge in a repository of legacy models is needed. In this paper we describe MARS, a semi-automatic grammar-centric system that leverages grammar inference techniques to solve the metamodel recovery problem. The paper also contains an applicative case study, as well as experimental results from the recovery of several metamodels in diverse domains.

Ključne besede

domain-specific languages;metamodeling;recovery systems;reverse engineering;re-ingineering;

Podatki

Jezik: Angleški jezik
Leto izida:
Tipologija: 1.01 - Izvirni znanstveni članek
Organizacija: UM FERI - Fakulteta za elektrotehniko, računalništvo in informatiko
UDK: 004.42
COBISS: 11606550 Povezava se bo odprla v novem oknu
ISSN: 0950-5849
Št. ogledov: 1121
Št. prenosov: 87
Ocena: 0 (0 glasov)
Metapodatki: JSON JSON-RDF JSON-LD TURTLE N-TRIPLES XML RDFA MICRODATA DC-XML DC-RDF RDF

Ostali podatki

Sekundarni jezik: Angleški jezik
Sekundarne ključne besede: razvoj programske opreme;reverzibilni inženiring;programski jeziki;metamodeli;
URN: URN:SI:UM:
Strani: str. 948-968
Letnik: ǂVol. ǂ50
Zvezek: ǂiss. ǂ9-10
Čas izdaje: 2008
DOI: 10.1016/j.infsof.2007.08.003
ID: 8718583
Priporočena dela:
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