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Integrative Early Requirements Analysis for Agent-Based Systems
Kitakyushu, Japan December 05-December 08
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICHIS.2004.63Fourth International Conference on Hy ...
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Longbing Cao, University of Technology, Sydney, Australia
Chengqi Zhang, University of Technology, Sydney, Australia
Dan Luo, Ministry of Science and Technology, China
Wanli Chen, University of Technology, Sydney, Australia
Neda Zamani, University of Wollongong, Australia
Early requirements analysis (ERA) is quite significant for building agent-based systems. Goal-oriented requirements analysis is promising for the agent-oriented early requirements analysis. In general, either visual modeling or formal specifications is used for the ERA. This way cannot capture requirements precisely and completely. In this paper, we present an integrative modeling framework for agent-oriented early requirements analysis; this framework implements goal-oriented requirement analysis. The integrative modeling combines visual modeling and formal modeling together. Extended i* framework is used for building visual models; formal specifications complement the visual modeling to define and refine requirements. Both visual and formal models are outlined through a practical agent-based system F-TRADE. The integrative modelling seems to model early requirements comprehensively and concretely, and benefit refinement and conflict management in building agent systems.
Citation:
Longbing Cao, Chengqi Zhang, Dan Luo, Wanli Chen, Neda Zamani, "Integrative Early Requirements Analysis for Agent-Based Systems," his, pp.118-123, Fourth International Conference on Hybrid Intelligent Systems (HIS'04), 2004
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