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A State-of-the-Art Review of the Mutation Analysis Technique for Testing Multi-agent Systems

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Novel & Intelligent Digital Systems: Proceedings of the 3rd International Conference (NiDS 2023) (NiDS 2023)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 784))

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Abstract

Testing systems developed using the agent paradigm is an important task in the quality assurance process. In this short paper, we give a state-of-the-art overview of the research that has been suggested for testing multi-agent systems (MAS). The aim is to eventually provide a new test method for multi-agent systems using the method of mutation analysis, as well as to provide software and efficient test tools that enable the automation of testing activities for these systems.

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References

  1. Babac, M.B., Jevtić, D.: AgentTest: a specification language for agent-based system testing. Neurocomputing 146, 230–248 (2014)

    Article  Google Scholar 

  2. Coelho, R., Kulesza, U., von Staa, A., Lucena, C.: Unit testing in multi-agent systems using mock agents and aspects. In: SELMAS 2006: Proceedings of the 2006 International Workshop on Software Engineering for Large-scale Multi-agent Systems, pp. 83–90. ACM Press, New York (2006)

    Google Scholar 

  3. De Wolf, T., Samaey, G., Holvoet, T.: Engineering self-organising emergent systems with simulation-based scientific analysis. In: Brueckner, S., Serugendo, D.M., Hales, D., Zambonelli, F. (eds.) Third International Workshop on Engineering Self-organising Application, pp. 146–160. sUtrech, Netherlands (2005)

    Google Scholar 

  4. Dehimi, N.E.H., Mokhati, F.: A novel test case generation approach based on AUML sequence diagram. In: International Conference on Networking and Advanced Systems (ICNAS) (2019)

    Google Scholar 

  5. Dehimi, N.E.H., Mokhati, F., Badri, M.: Testing HMAS-based applications: an ASPECS-based approach. Eng. Appl. Artif. Intell. 46, 232–257 (2015)

    Article  Google Scholar 

  6. Dehimi, N.E.H., Benkhalef, A.H., Tolba, Z.: A novel mutation analysis-based approach for testing parallel behavioural scenarios in multi-agent systems. Electronics 11(22), 3642 (2022)

    Article  Google Scholar 

  7. Derdour, M., et al.: MMSA: metamodel multimedia software architecture. Adv. Multimed. 2010, 1–17 (2010)

    Article  Google Scholar 

  8. Derdour, M., et al.: Typing of adaptation connectors in MMSA approach case study: sending MMS. Int. J. Res. Rev. Comput. Sci. 1(4), 39–49 (2010)

    Google Scholar 

  9. Ekinci, E.E., Tiryaki, A.M., Cetin, O., Dikenelli, O.: Goal-oriented agent testing revisited. In: Luck, M., Gomez-Sanz, J.J. (eds.) AOSE 2008. LNCS, vol. 5386, pp. 85–96. Springer, Heidelberg (2008). https://doi.org/10.1007/978-3-642-01338-6_13

  10. El Houda, D.N., Soufiene, B., Djaber, G.: Towards a new dynamic model-based testing approach for multi-agent systems. In: 2022 4th International Conference on Pattern Analysis and Intelligent Systems (PAIS). IEEE (2022)

    Google Scholar 

  11. Huang, Z., Alexander, R., Clark, J.: Mutation testing for Jason agents. In: Dalpiaz, F., Dix, J., van Riemsdijk, M.B. (eds.) EMAS 2014. LNCS, vol. 8758, pp. 309–327. Springer, Cham (2014). https://doi.org/10.1007/978-3-319-14484-9_16

  12. Lam, D.N., Barber, K.S.: Debugging agent behavior in an implemented agent system. In: Bordini, R.H., Dastani, M.M., Dix, J., El Fallah Seghrouchni, A. (eds.) PROMAS 2004. LNCS (LNAI), vol. 3346, pp. 104–125. Springer, Heidelberg (2005). https://doi.org/10.1007/978-3-540-32260-3_6

  13. Nguyen, C.D., Perini, A., Tonella, P.: Goal-oriented testing for MASs. Int. J. Agent-Oriented Softw. Eng. 4(1), 79–109 (2010)

    Article  Google Scholar 

  14. Nunez, M., Rodríguez, I., Rubio, F.: Specification and testing of autonomous agents in e-commerce systems. Softw. Test. Verification Reliab. 15(4), 211–233 (2005)

    Article  Google Scholar 

  15. Offutt, A.J., Rothermel, G., Zapf, C.: An experimental evaluation of selective mutation. In: Proceedings of the 15th International Conference on Software Engineering, pp. 100–107 (1993)

    Google Scholar 

  16. Sakellariou, I., et al.: Stream X-machines for agent simulation test case generation. In: Duval, B., van den Herik, J., Loiseau, S., Filipe, J. (eds.) ICAART 2015. LNCS, vol. 9494, pp. 37–57. Springer, Cham (2015). https://doi.org/10.1007/978-3-319-27947-3_3

  17. Savarimuthu, S., Winikoff, M.: Mutation operators for the GOAL agent language. In: Cossentino, M., El Fallah Seghrouchni, A., Winikoff, M. (eds.) EMAS 2013. LNCS, vol. 8245, pp. 255–273. Springer, Heidelberg (2013). https://doi.org/10.1007/978-3-642-45343-4_14

  18. Thaler, J., Siebers, P.-O.: Show me your properties: the potential of property-based testing in agent-based simulation. In: Proceedings of the 2019 Summer Simulation Conference (2019)

    Google Scholar 

  19. Zhang, Z., Thangarajah, J., Padgham, L.: Automated unit testing intelligent agents in PDT. In: AAMAS (Demos), pp. 1673–1674 (2008)

    Google Scholar 

  20. Zhang, Z., Thangarajah, J., Padgham, L.: Model based testing for agent systems. In: AAMAS, vol. 2, pp. 1333–1334 (2009)

    Google Scholar 

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Correspondence to Nour El Houda Dehimi .

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Boukeloul, S., Dehimi, N.E.H., Derdour, M. (2023). A State-of-the-Art Review of the Mutation Analysis Technique for Testing Multi-agent Systems. In: Kabassi, K., Mylonas, P., Caro, J. (eds) Novel & Intelligent Digital Systems: Proceedings of the 3rd International Conference (NiDS 2023). NiDS 2023. Lecture Notes in Networks and Systems, vol 784. Springer, Cham. https://doi.org/10.1007/978-3-031-44146-2_23

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