Title
Developing and Evaluating a Generic Metamodel for MAS Work Products
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 Beydoun145645.98
Cesar Gonzalez-Perez249531.78
Brian Henderson-Sellers31835163.16
Graham Low455667.55