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Analysing Requirements Specification Languages for Self-adaptive AAL Systems

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Proceedings of the 15th International Conference on Ubiquitous Computing & Ambient Intelligence (UCAmI 2023) (UCAmI 2023)

Abstract

Ambient Assisted Living (AAL) systems are usually deployed in complex environments and should behave autonomously. So, self-adaptation is an essential concern of these systems that should be part of their requirements specification. The modelling of self-adaptation requirements is a challenging task because it is strongly related to other system requirements. The achievement of self-adaptation requirements typically implies prioritisation or denial of different requirements, so it is crucial to have mechanisms for their modelling and analysis. We study the suitability of requirement specification languages for self-adaptation in the context of a project to develop AAL systems. Specifically, we compare specifications made in RELAX, Tropos4AS and GODA. Our study with 14 people concludes that understanding these specifications is similar for the three languages but poses some difficulties for users. Specifically, users perceive the understanding of RELAX specification requires less effort and makes them feel less frustrated.

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Notes

  1. 1.

    https://humansystems.arc.nasa.gov/groups/tlx/downloads/TLXScale.pdf.

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Acknowledgements

This work is partially funded by projects TED2021-131739B-C21, PDC2022-133597-C42 and IRIS PID2021-12281 2OB-I00 funded by the Gobierno de España and FEDER funds, by the Junta de Andalucía (Spain) under contract QUAL21 010UMA and project DISCO B1-201212 funded by Universidad de Málaga.

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Correspondence to Inmaculada Ayala .

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Ayala, I., Amor, M., Fuentes, L. (2023). Analysing Requirements Specification Languages for Self-adaptive AAL Systems. In: Bravo, J., Urzáiz, G. (eds) Proceedings of the 15th International Conference on Ubiquitous Computing & Ambient Intelligence (UCAmI 2023). UCAmI 2023. Lecture Notes in Networks and Systems, vol 842. Springer, Cham. https://doi.org/10.1007/978-3-031-48642-5_14

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