Towards a novel testing approach for holonic agents

Abstract

We propose, in this paper, a new holonic agent testing technique. The technique is based on models and uses genetic algorithms. It considers the successive versions of an agent. The approach is organized in two main phases that are conducted iteratively. The first phase is concerned with detecting a new version of an agent under test. The second phase focuses on testing each new detected version. The new version is analyzed in order to generate a behavioral model on which is based the generation of test cases. The test case generation process focuses on the new parts of the agent behavior. In this way, the technique supports an incremental update of test cases.