Ontology mapping: the state of the art
The Knowledge Engineering Review
SEAGENT: a platform for developing semantic web based multi agent systems
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
Verifying Multi-agent Programs by Model Checking
Autonomous Agents and Multi-Agent Systems
Ontology-based test generation for multiagent systems
Proceedings of the 7th international joint conference on Autonomous agents and multiagent systems - Volume 3
SUnit: a unit testing framework for test driven development of multi-agent systems
AOSE'06 Proceedings of the 7th international conference on Agent-oriented software engineering VII
Debugging agent behavior in an implemented agent system
ProMAS'04 Proceedings of the Second international conference on Programming Multi-Agent Systems
Intelligent data analysis for the verification of multi-agent systems interactions
IDEAL'06 Proceedings of the 7th international conference on Intelligent Data Engineering and Automated Learning
Automated testing for intelligent agent systems
AOSE'10 Proceedings of the 10th international conference on Agent-oriented software engineering
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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 ontology-based 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.