RIS ID
74013
Abstract
In contrast to an increasing number of agent-based applica- tions in various domains, there has been very little work on maintenance and evolution of agent systems. This paper ad- dresses this gap with a focus on change impact analysis, i.e. estimating the potential eects of changes before they are made as an agent system evolves. We propose a technique for performing impact analysis in an agent system using dy- namic information about agent behaviour. Our approach builds a representation of an agent's behaviour by analyzing its execution traces which consist of goals and plans, and uses this representation to estimate impacts.
COinS
Publication Details
Dam, H. Khanh. & Ghose, A. (2012). Dynamic change impact analysis for maintaining and evolving agent systems. Proceedings of the 11th International Conference on Autonomous Agents and Multiagent Systems (pp. 1433-1434). Richland, SC: International Foundation for Autonomous Agents and Multiagent Systems.