Ontology mapping: the state of the art
The Knowledge Engineering Review
Verifying Multi-agent Programs by Model Checking
Autonomous Agents and Multi-Agent Systems
Adding debugging support to the Prometheus methodology
Engineering Applications of Artificial Intelligence
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
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
eCAT: a tool for automating test cases generation and execution in testing multi-agent systems
Proceedings of the 7th international joint conference on Autonomous agents and multiagent systems: demo papers
Experimental Evaluation of Ontology-Based Test Generation for Multi-agent Systems
Agent-Oriented Software Engineering IX
Using three AOSE toolkits to develop a sample design
International Journal of Agent-Oriented Software Engineering
Testing in Agent Oriented Methodologies
IWANN '09 Proceedings of the 10th International Work-Conference on Artificial Neural Networks: Part II: Distributed Computing, Artificial Intelligence, Bioinformatics, Soft Computing, and Ambient Assisted Living
Goal-oriented testing for MASs
International Journal of Agent-Oriented Software Engineering
Automated testing for intelligent agent systems
AOSE'10 Proceedings of the 10th international conference on Agent-oriented software engineering
Testing in multi-agent systems
AOSE'10 Proceedings of the 10th international conference on Agent-oriented software engineering
Test coverage criteria for agent interaction testing
AOSE'10 Proceedings of the 11th international conference on Agent-oriented software engineering
Using ontology to generate test cases for GUI testing
International Journal of Computer Applications in Technology
Systematic scenario test case generation for nuclear safety systems
Information and Software Technology
Designing multi-agent unit tests using systematic test design patterns-(extended version)
Engineering Applications of Artificial Intelligence
| Hi-index | 0.00 |
This paper investigates software agents testing, and in particular how to automate test generation. We propose a novel approach, which takes advantage of agent interaction ontologies that define content semantic of agent interactions to: (i) generate test inputs; (ii) guide the exploration of the input space during generation; and, (iii) verify messages exchanged among agents with respect to the defined interaction ontology. We integrated the proposed approach into a testing framework, called eCAT, which can generate and evolve test cases automatically, and run them continuously.