Testing in Multi-Agent Systems
Identifieur interne : 006317 ( Main/Exploration ); précédent : 006316; suivant : 006318Testing in Multi-Agent Systems
Auteurs : Cu D. Nguyen [Italie] ; Anna Perini [Italie] ; Carole Bernon [France] ; Juan Pav N [Espagne] ; John Thangarajah [Australie]Source :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2011.
Descripteurs français
- Wicri :
- topic : Simulation, Logiciel, Essai.
English descriptors
- KwdEn :
- Abnormal behaviours, Active work, Agent systems, Autonomous, Autonomous agents, Available material, Behaviour, Certain number, Cohesion metrics, Computation world, Data mining techniques, Design artefacts, Electronic institutions, Heidelberg, Ieee computer society, Jade agent platform, Knowledge base, Lncs, Methodology, Metrics, Mock agents, Multi agent systems, Multiagent systems, Nguyen, Open issues, Output behaviours, Research roadmap, Serrano, Service computation, Simulation, Simulation methodology, Software, Software agents, Software engineering, Software systems, Software testing, Springer, Test cases, Test inputs, Test suites, Testing, Testing approaches, Testing framework, Testing level, Testing levels, Testing methodologies, Testing objectives, Testing techniques, Unit testing.
- Teeft :
- Abnormal behaviours, Active work, Agent systems, Autonomous, Autonomous agents, Available material, Behaviour, Certain number, Cohesion metrics, Computation world, Data mining techniques, Design artefacts, Electronic institutions, Heidelberg, Ieee computer society, Jade agent platform, Knowledge base, Lncs, Methodology, Metrics, Mock agents, Multi agent systems, Multiagent systems, Nguyen, Open issues, Output behaviours, Research roadmap, Serrano, Service computation, Simulation, Simulation methodology, Software, Software agents, Software engineering, Software systems, Software testing, Springer, Test cases, Test inputs, Test suites, Testing, Testing approaches, Testing framework, Testing level, Testing levels, Testing methodologies, Testing objectives, Testing techniques, Unit testing.
Abstract
Abstract: Testing software agents and Multi-Agent Systems (MAS) needs suitable techniques to evaluate agent’s autonomous behaviours as well as distribution, social and deliberative properties, which are particular to these systems. This paper reviews testing methods and techniques with respect to the MAS properties they are able to address. For this purpose, we provide a reference framework that provides a classification of MAS testing levels (such as unit, agent, integration, system, and acceptance) and of testing approaches along the development artefact they exploit (namely, design and code artefacts). Open issues in testing MAS are then discussed providing a basis for a research roadmap.
Url:
DOI: 10.1007/978-3-642-19208-1_13
Affiliations:
- Australie, Espagne, France, Italie
- Communauté de Madrid, Midi-Pyrénées, Occitanie (région administrative), Victoria (État)
- Madrid, Melbourne, Toulouse
- Université complutense de Madrid
Links toward previous steps (curation, corpus...)
- to stream Istex, to step Corpus: 000402
- to stream Istex, to step Curation: 000402
- to stream Istex, to step Checkpoint: 000736
- to stream Main, to step Merge: 006693
- to stream Main, to step Curation: 006317
Le document en format XML
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<front><div type="abstract" xml:lang="en">Abstract: Testing software agents and Multi-Agent Systems (MAS) needs suitable techniques to evaluate agent’s autonomous behaviours as well as distribution, social and deliberative properties, which are particular to these systems. This paper reviews testing methods and techniques with respect to the MAS properties they are able to address. For this purpose, we provide a reference framework that provides a classification of MAS testing levels (such as unit, agent, integration, system, and acceptance) and of testing approaches along the development artefact they exploit (namely, design and code artefacts). Open issues in testing MAS are then discussed providing a basis for a research roadmap.</div>
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