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Beast methodology: An agile testing methodology for multi-agent systems based on behaviour driven development

Author

Listed:
  • Álvaro Carrera

    (Universidad Politécnica de Madrid)

  • Carlos A. Iglesias

    (Universidad Politécnica de Madrid)

  • Mercedes Garijo

    (Universidad Politécnica de Madrid)

Abstract

This paper presents a testing methodology to apply Behaviour Driven Development (BDD) techniques while developing Multi-Agent Systems (MASs), termed BEhavioural Agent Simple Testing (BEAST) Methodology. This methodology is supported by the open source framework (BEAST Tool) which automatically generates test cases skeletons from BDD scenarios specifications. The developed framework allows the testing of MASs based on JADE or JADEX platforms. In addition, this framework offers a set of configurable Mock Agents with the aim of being able to execute tests while the MAS is under development. The BEAST Methodology presents transparent traceability from user requirements to test cases. Thus, the stakeholders can be aware of the project status. The methodology and the associated tool have been validated in the development of a MAS for fault diagnosis in FTTH (Fiber To The Home) networks. The results have been measured in quantifiable way obtaining a reduction of the tests implementation time.

Suggested Citation

  • Álvaro Carrera & Carlos A. Iglesias & Mercedes Garijo, 2014. "Beast methodology: An agile testing methodology for multi-agent systems based on behaviour driven development," Information Systems Frontiers, Springer, vol. 16(2), pages 169-182, April.
    • Handle: RePEc:spr:infosf:v:16:y:2014:i:2:d:10.1007_s10796-013-9438-5
    DOI: 10.1007/s10796-013-9438-5
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    References listed on IDEAS

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    1. João Paulo A. Almeida & Maria-Eugenia Iacob & Pascal Eck, 2007. "Requirements traceability in model-driven development: Applying model and transformation conformance," Information Systems Frontiers, Springer, vol. 9(4), pages 327-342, September.
    2. César Guerra-García & Ismael Caballero & Mario Piattini, 2013. "Capturing data quality requirements for web applications by means of DQ_WebRE," Information Systems Frontiers, Springer, vol. 15(3), pages 433-445, July.
    3. Lily Sun & Khadidjatou Ousmanou & Matthew Cross, 2010. "An ontological modelling of user requirements for personalised information provision," Information Systems Frontiers, Springer, vol. 12(3), pages 337-356, July.
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    Cited by:

    1. R. B. K. Brown & G. Beydoun & G. Low & W. Tibben & R. Zamani & F. García-Sánchez & R. Martinez-Bejar, 2016. "Computationally efficient ontology selection in software requirement planning," Information Systems Frontiers, Springer, vol. 18(2), pages 349-358, April.
    2. Juan M. Alberola & Vicent Botti & Jose M. Such, 2014. "Advances in infrastructures and tools for multiagent systems," Information Systems Frontiers, Springer, vol. 16(2), pages 163-167, April.

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