Abstract | ||
---|---|---|
MAS development requires an appropriate methodology. Rather than seek a single, ideal methodology, we investigate the applicability
of method engineering, which focuses on project-specific methodology construction from existing method fragments and provides
an appealing approach to organize, appropriately access and effectively harness the software engineering knowledge of MAS
methodologies. In this context, we introduce a generic metamodel to serve as a representational infrastructure to unify the
work product component of MAS methodologies. The resultant metamodel does not focus on any class of MAS, nor does it impose
any restrictions on the format of the system requirements; rather, it is an abstraction of how the work product elements in
any MAS are structured and behave both at design time and run-time. Furthermore, in this paper we validate this representational
infrastructure by analysing two well-known existing MAS metamodels. We sketch how they can be seen as subtypes of our generic
metamodel, providing early evidence to support the use of our metamodel towards the construction of situated MAS methodologies.
|
Year | DOI | Venue |
---|---|---|
2005 | 10.1007/11738817_8 | Software Engineering for Multi-Agent Systems IV |
Keywords | Field | DocType |
appropriate methodology,mas development,resultant metamodel,ideal methodology,generic metamodel,mas work product,method engineering,well-known existing mas metamodels,mas methodology,representational infrastructure,project-specific methodology construction,software engineering | Situated,Software engineering,Method engineering,Computer science,Ontology Concept,Artificial intelligence,Knowledge engineering,System requirements,Metamodeling,Software development,Sketch,Distributed computing | Conference |
Volume | ISSN | ISBN |
3914 | 0302-9743 | 3-540-33580-3 |
Citations | PageRank | References |
25 | 1.16 | 24 |
Authors | ||
4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Ghassan Beydoun | 1 | 456 | 45.98 |
Cesar Gonzalez-Perez | 2 | 495 | 31.78 |
Brian Henderson-Sellers | 3 | 1835 | 163.16 |
Graham Low | 4 | 556 | 67.55 |