2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology 2009
DOI: 10.1109/wi-iat.2009.133
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Abstract Requirement Analysis in Multiagent System Design

Abstract: Abstract-"Good, fast, or cheap, pick two." What drives designers to make decisions on how to architect a system? The stake-holder has certain abstract qualities in mind: efficiency, quality, reliability, and so forth. How do we make sure our system is guided by these qualities? What happens when the system cannot always provide all the qualities? We describe a framework for analyzing a design allowing decisions about what qualities are more important to be made at design-time.

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Cited by 4 publications
(2 citation statements)
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References 11 publications
(17 reference statements)
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“…Some of the multi-agent leading methodologies attempt to integrate some techniques in their latest extensions like (Harmon et al, 2009) with O-MASE or (Blanes et al, 2009) with RE-GAIA. Inspired by goal-oriented requirements works (Mylopoulos et al, 1999;Liu and Yu, 2004), TROPOS (Bresciani et al, 2004) proposes to build an incrementally refined model of the system where NFR are seen as specific goals.…”
Section: Mas Related Workmentioning
confidence: 99%
“…Some of the multi-agent leading methodologies attempt to integrate some techniques in their latest extensions like (Harmon et al, 2009) with O-MASE or (Blanes et al, 2009) with RE-GAIA. Inspired by goal-oriented requirements works (Mylopoulos et al, 1999;Liu and Yu, 2004), TROPOS (Bresciani et al, 2004) proposes to build an incrementally refined model of the system where NFR are seen as specific goals.…”
Section: Mas Related Workmentioning
confidence: 99%
“…However, in our approach, we applied SOFL to capture the precise requirements for the brain tumor treatment system. Scott et al [13] provided a framework for abstract quality requirements against potential multi-agent system designs, by generating policies that can be used to guide the system of the abstract quality constraints. These policies are generated offline, using model checking and automated trace analysis.…”
Section: Related Workmentioning
confidence: 99%