2 research outputs found

    Automated testing for intelligent agent systems

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    This paper describes an approach to unit testing of plan based agent systems, with a focus on automated generation and execution of test cases. Design artefacts, supplemented with some additional data, provide the basis for specification of a comprehensive suite of test cases. Correctness of execution is evaluated against a design model, and a comprehensive report of errors and warnings is provided to the user. Given that it is impossible to design test suites which execute all possible traces of an agent program, it is extremely important to thoroughly test all units in as wide a variety of situations as possible to ensure acceptable behaviour. We provide details of the information required in design models or related data to enable the automated generation and execution of test cases. We also briefly describe the implemented tool which realises this approach

    Behaviour Driven Development for Multi-Agent Systems

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    This paper presents a testing methodology to apply Behaviour Driven Development (BDD) techniques while developing Multi-Agent Systems (MAS), so called BEhavioural Agent Simple Testing (BEAST) methodology. It is supported by the developed open source framework (BEAST Tool) which automatically generates test cases skeletons from BDD scenarios specifications. The developed framework allows testing MASs based on JADE or JADEX platforms and offers a set of configurable Mock Agents which allow the execution of tests while the system is under development. BEAST tool has been validated in the development of a MAS for fault diagnosis in FTTH (Fiber To The Home) networks
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