Ai analysis patterns as UML meta-model constructs

Angeles Manjarrés 1 Gerson Sunyé 1 Damien Pollet 1 Simon Pickin 1 Jean-Marc Jézéquel 1
1 TRISKELL - Reliable and efficient component based software engineering
IRISA - Institut de Recherche en Informatique et Systèmes Aléatoires, Inria Rennes – Bretagne Atlantique
Abstract : In this article, we investigate the use of the OO computational paradigm for the formulation of knowledge model patterns as OO analysis patterns. We seek to take advantage of research on design pattern specification, aimed at modelling patterns by means of structural and behavioural "meta-level" constraints, introducing appropriate modifications into the UML. We illustrate our argument with the formulation of an OO "assessment pattern" in analogy to the well known "assessment task template".
Document type :
Conference papers
Complete list of metadatas

Cited literature [3 references]  Display  Hide  Download

https://hal.inria.fr/hal-00794653
Contributor : Jean-Marc Jézéquel <>
Submitted on : Tuesday, February 26, 2013 - 11:49:50 AM
Last modification on : Friday, November 16, 2018 - 1:30:00 AM
Long-term archiving on : Sunday, April 2, 2017 - 5:16:13 AM

File

Manjarres02a.pdf
Files produced by the author(s)

Identifiers

  • HAL Id : hal-00794653, version 1

Citation

Angeles Manjarrés, Gerson Sunyé, Damien Pollet, Simon Pickin, Jean-Marc Jézéquel. Ai analysis patterns as UML meta-model constructs. The 14th international conference on Software Engineering and Knowledge Engineering, Jul 2002, Seke, Congo - Kinshasa. ⟨hal-00794653⟩

Share

Metrics

Record views

405

Files downloads

153