Experimental Evaluation of Ontology-Based Test Generation for Multi-agent Systems

Abstract. Software agents are a promising technology for today's complex, distributed systems. Methodologies and techniques that address testing and reliability of multi agent systems are increasingly demanded, in particular to support automated test case generation and execution. A novel approach, based on agent interaction ontology, has been recently proposed and integrated into a testing framework, called eCAT, which can generate and evolve test cases automatically, and run them continuously. In this paper, we focus on the experimental evaluation of an ontologybased test generation approach. We use two BDI agent applications as case studies to investigate the performance of the framework as well as its capability to reveal faults.

• Type: Conference
• Year: 2008
• Where: AOSE
• Authors: Cu D. Nguyen, Anna Perini, Paolo Tonella
• Keywords: AOSE 2008, Intelligent Agents, Multi Agent Systems, Test Case Generation, Test Cases