STARS: Software Technology for Adaptable and Reusable Systems PhD Research Project

Research output: Contribution in Book/Catalog/Report/Conference proceedingConference contribution

Abstract

Dynamically Adaptive Systems (DAS) modify their behaviours in response to (sometimes unpredictable) changes in their environment or to the evolution of their own abilities (sensors and actuators). To support adaptation, a reference architecture (such as the MAPE-K model) is paramount. Yet, this is not sufficient as challenges concerning the fine-grained variability management and testability remain. The STARS Ph.D. project aims at developing a variability and context-aware architectural model for DAS that particularly takes into account testability. In particular, we want to adapt tests at runtime in order to assess and prevent the impact of inappropriate adaptations.

Original languageEnglish
Title of host publicationProceedings - VaMoS 2020
Subtitle of host publication14th International Working Conference on Variability Modelling of Software-Intensive Systems
EditorsMaxime Cordy, Mathieu Acher, Danilo Beuche, Gunter Saake
PublisherACM Press
Pages1-2
Number of pages2
ISBN (Electronic)9781450375016
DOIs
Publication statusPublished - 5 Feb 2020
Event14th International Working Conference on Variability Modelling of Software-Intensive Systems, VaMoS 2020 - Magdeburg, Germany
Duration: 5 Feb 20207 Feb 2020

Publication series

NameACM International Conference Proceeding Series

Conference

Conference14th International Working Conference on Variability Modelling of Software-Intensive Systems, VaMoS 2020
CountryGermany
CityMagdeburg
Period5/02/207/02/20

Keywords

  • MAPE-K loop
  • Self-adapting
  • Software architecture
  • Software test

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  • Cite this

    Perrouin, G., Schobbens, P. Y., & Lima dos Santos, E. (2020). STARS: Software Technology for Adaptable and Reusable Systems PhD Research Project. In M. Cordy, M. Acher, D. Beuche, & G. Saake (Eds.), Proceedings - VaMoS 2020: 14th International Working Conference on Variability Modelling of Software-Intensive Systems (pp. 1-2). [a15] (ACM International Conference Proceeding Series). ACM Press. https://doi.org/10.1145/3377024.3377033