DocumentCode :
3282864
Title :
Extending the Gaia Methodology for the Design and Development of Agent-based Software Systems
Author :
Wei Huang ; El-Darzi, E. ; Li Jin
Author_Institution :
Univ. of Westminster, London
Volume :
2
fYear :
2007
fDate :
24-27 July 2007
Firstpage :
159
Lastpage :
168
Abstract :
Over the past decade, agent-based computing has emerged as a new and popular paradigm for design, implementation and analysis of distributed information systems. In this paper, the participant researchers in Health Care Computing Group at University of Westminster concentrate on the agent-oriented methodology for the analysis and design of agent-based systems and identify how methodology can support both the levels of "agent structure" and of "agent society" in the agent-oriented software design and development process. The research reported here takes one leading agent-oriented methodology-Gaia, and then extended it by the creation of innovative design tools which aimed at better supporting application to real-world domains. In discussion section, agent-oriented methodology and AUML approaches are compared and evaluated in great detail; the strengths and weaknesses of the current agent-oriented methodology are explored and discussed; the importance of effectively using methodology to improve agents and their productivity potential also is emphasized. Finally, we draw conclusions from the work presented and the experience gained in this research and look into the future possible improvements on agent-oriented software engineering in the agent technology research field.
Keywords :
Unified Modeling Language; distributed processing; software agents; software engineering; AUML approaches; Gaia methodology; Health Care Computing Group; agent society; agent structure; agent-based computing; agent-based software systems; agent-oriented software design; distributed information systems; Application software; Design methodology; Distributed computing; Distributed information systems; Information analysis; Medical services; Productivity; Software design; Software engineering; Software systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Software and Applications Conference, 2007. COMPSAC 2007. 31st Annual International
Conference_Location :
Beijing
ISSN :
0730-3157
Print_ISBN :
0-7695-2870-8
Type :
conf
DOI :
10.1109/COMPSAC.2007.114
Filename :
4291118
Link To Document :
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