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Dynamic change impact analysis for maintaining and evolving agent systems

In contrast to an increasing number of agent-based applications in various domains, there has been very little work on maintenance and evolution of agent systems. This paper addresses this gap with a focus on change impact analysis, i.e. estimating the potential effects of changes before they are made as an agent system evolves. We propose a technique for performing impact analysis in an agent system using dynamic 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.