The University of Southampton
University of Southampton Institutional Repository

Towards Agent-oriented Model-Driven Architecture

Towards Agent-oriented Model-Driven Architecture
Towards Agent-oriented Model-Driven Architecture
Model Driven Architecture supports the transformation from reusable models to executable software. Business representations, however, cannot be fully and explicitly represented in such models for direct transformation into running systems. Thus, once business needs change, the language abstractions used by MDA (e.g. Object Constraint Language / Action Semantics), being low level, have to be edited directly. We therefore describe an Agent-oriented Model Driven Architecture (AMDA) that uses a set of business models under continuous maintenance by business people, reflecting the current business needs and being associated with adaptive agents that interpret the captured knowledge to behave dynamically. Three contributions of the AMDA approach are identified: 1) to Agent-oriented Software Engineering, a method of building adaptive Multi-Agent Systems; 2) to MDA, a means of abstracting high level business-oriented models to align executable systems with their requirements at runtime; 3) to distributed systems, the interoperability of disparate components and services via the agent abstraction.
Adaptive Agent Model, Agent-oriented Model Driven Architecture, Agent-oriented Software Engineering, Business Knowledge Model, Model Driven Architecture, Multi-Agent System, Requirements Engineering, Software Adaptivity, UML
390-406
Xiao, Liang
bb4e3fd9-f69e-4bdc-aad8-6eecbe58c8c6
Greer, Des
7411547e-7542-47aa-95a3-f8cf50a77828
Xiao, Liang
bb4e3fd9-f69e-4bdc-aad8-6eecbe58c8c6
Greer, Des
7411547e-7542-47aa-95a3-f8cf50a77828

Xiao, Liang and Greer, Des (2007) Towards Agent-oriented Model-Driven Architecture. European Journal of Information Systems, 16 (4), 390-406.

Record type: Article

Abstract

Model Driven Architecture supports the transformation from reusable models to executable software. Business representations, however, cannot be fully and explicitly represented in such models for direct transformation into running systems. Thus, once business needs change, the language abstractions used by MDA (e.g. Object Constraint Language / Action Semantics), being low level, have to be edited directly. We therefore describe an Agent-oriented Model Driven Architecture (AMDA) that uses a set of business models under continuous maintenance by business people, reflecting the current business needs and being associated with adaptive agents that interpret the captured knowledge to behave dynamically. Three contributions of the AMDA approach are identified: 1) to Agent-oriented Software Engineering, a method of building adaptive Multi-Agent Systems; 2) to MDA, a means of abstracting high level business-oriented models to align executable systems with their requirements at runtime; 3) to distributed systems, the interoperability of disparate components and services via the agent abstraction.

Text
EJIS_article.pdf - Version of Record
Download (2MB)

More information

Published date: August 2007
Keywords: Adaptive Agent Model, Agent-oriented Model Driven Architecture, Agent-oriented Software Engineering, Business Knowledge Model, Model Driven Architecture, Multi-Agent System, Requirements Engineering, Software Adaptivity, UML
Organisations: Electronics & Computer Science

Identifiers

Local EPrints ID: 264408
URI: http://eprints.soton.ac.uk/id/eprint/264408
PURE UUID: dc4937ee-739c-47b7-912a-cea0921cc82d

Catalogue record

Date deposited: 13 Aug 2007
Last modified: 14 Mar 2024 07:49

Export record

Contributors

Author: Liang Xiao
Author: Des Greer

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×