Patterns for data and metadata evolution in adaptive object-models

• Type: Article in International Conference Proceedings Book
• Date: 2008

Authors

Hugo Sereno Ferreira (Author) FEUP; Filipe Figueiredo Correia (Author) FEUP; Filipe Figueiredo Correia (Author) Other

Conference proceedings International

Title: PLoP08 - 15th Conference on Pattern Languages of Programs, Proceedings

Pages: 1-9

15th Conference on Pattern Languages of Programs, PLoP08

Nashville, TN, 18 October 2008 through 20 October 2008

Indexing

Scopus - 12 Citations

Scientific classification

FOS: Engineering and technology > Electrical engineering, Electronic engineering, Information engineering

CORDIS: Physical sciences > Computer science > Informatics

Other information

Authenticus ID: P-007-T70

DOI: 10.1145/1753196.1753203

Abstract (EN): An Adaptive Object-Model (AOM) is an architectural pattern based upon a dynamic meta-modeling technique where the object model of the system is explicitly defined as data to be interpreted at run-time. The object model encompasses the full specification of domain objects, states, events, conditions, constraints and business rules. Several design patterns, that have before been documented, describe a set of good-practices within this domain. This paper approaches data and metadata evolution issues in the context of AOMs, by describing three additional patterns - History of Operations, System Memento and Migration. They establish ways to track, version, and evolve information, at the several abstraction levels that may exist in an AOM. © 2008 is held by the author(s).

Language: English

Type (Professor's evaluation): Scientific