DocumentCode :
1826368
Title :
Visualizing the network of software agents for verification of Multiagent Systems
Author :
Fard, Fatemeh Hendijani ; Far, Behrouz H.
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Calgary, Calgary, AB, Canada
fYear :
2013
fDate :
25-28 Aug. 2013
Firstpage :
1280
Lastpage :
1281
Abstract :
The verification of Multiagent Systems (MAS) and Distributed Software Systems (DSS) has taken a special attention due to the growing demand of having DSS in recent years. The distributed functionality and lack of having a central control in MAS and DSS may cause to emerge new behaviors in the execution time. This unexpected behavior which was not seen in the requirements is known as emergent behavior and may cause irreparable damages. Detection of these emergent behaviors is more valuable and cost effective in the early phases compared to detecting them after the deployment. In this paper we propose a new technique for the detection of a specific type of emergent behavior in the design phase. We take the advantage of social network visualization in this method. The novelty and direct advantage of this technique is presenting the exact point and cause of emergent behavior.
Keywords :
distributed programming; multi-agent systems; program verification; program visualisation; social networking (online); software agents; DSS; MAS verification; design phase; distributed software systems; emergent behavior detection; multiagent system verification; social network visualization; software agents; Conferences; Decision support systems; Educational institutions; Social network services; Software; Vectors; Visualization; Multiagent systems; distributed software systems; emergent behavior; scenario-based software engineering; social network visualization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advances in Social Networks Analysis and Mining (ASONAM), 2013 IEEE/ACM International Conference on
Conference_Location :
Niagara Falls, ON
Type :
conf
Filename :
6785867
Link To Document :
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