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

Edilton Lima dos Santos; Gilles Perrouin; Pierre Yves Schobbens

doi:10.1145/3377024.3377033

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

Edilton Lima dos Santos, Gilles Perrouin, Pierre Yves Schobbens

Research output: Contribution in Book/Catalog/Report/Conference proceeding › Conference contribution

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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 language	English
Title of host publication	Proceedings - VaMoS 2020
Subtitle of host publication	14th International Working Conference on Variability Modelling of Software-Intensive Systems
Editors	Maxime Cordy, Mathieu Acher, Danilo Beuche, Gunter Saake
Publisher	ACM Press
Pages	1-2
Number of pages	2
ISBN (Electronic)	9781450375016
DOIs	https://doi.org/10.1145/3377024.3377033
Publication status	Published - 5 Feb 2020
Event	14th International Working Conference on Variability Modelling of Software-Intensive Systems, VaMoS 2020 - Magdeburg, Germany Duration: 5 Feb 2020 → 7 Feb 2020

Publication series

Name	PervasiveHealth: Pervasive Computing Technologies for Healthcare
ISSN (Print)	2153-1633

Conference

Conference	14th International Working Conference on Variability Modelling of Software-Intensive Systems, VaMoS 2020
Country/Territory	Germany
City	Magdeburg
Period	5/02/20 → 7/02/20

Keywords

MAPE-K loop
Self-adapting
Software architecture
Software test

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10.1145/3377024.3377033

STARS_Software_Technology_for_Adaptable_and_Reusable_Systems_PhD_Research_Project_1Accepted author manuscript, 350 KB

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Lima dos Santos, E., Perrouin, G., & Schobbens, P. Y. (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). Article a15 (PervasiveHealth: Pervasive Computing Technologies for Healthcare). ACM Press. https://doi.org/10.1145/3377024.3377033

Lima dos Santos, Edilton ; Perrouin, Gilles ; Schobbens, Pierre Yves. / STARS : Software Technology for Adaptable and Reusable Systems PhD Research Project. Proceedings - VaMoS 2020: 14th International Working Conference on Variability Modelling of Software-Intensive Systems. editor / Maxime Cordy ; Mathieu Acher ; Danilo Beuche ; Gunter Saake. ACM Press, 2020. pp. 1-2 (PervasiveHealth: Pervasive Computing Technologies for Healthcare).

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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.",

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Lima dos Santos, E , Perrouin, G & Schobbens, PY 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., a15, PervasiveHealth: Pervasive Computing Technologies for Healthcare, ACM Press, pp. 1-2, 14th International Working Conference on Variability Modelling of Software-Intensive Systems, VaMoS 2020, Magdeburg, Germany, 5/02/20. https://doi.org/10.1145/3377024.3377033

STARS: Software Technology for Adaptable and Reusable Systems PhD Research Project. / Lima dos Santos, Edilton ; Perrouin, Gilles ; Schobbens, Pierre Yves.
Proceedings - VaMoS 2020: 14th International Working Conference on Variability Modelling of Software-Intensive Systems. ed. / Maxime Cordy; Mathieu Acher; Danilo Beuche; Gunter Saake. ACM Press, 2020. p. 1-2 a15 (PervasiveHealth: Pervasive Computing Technologies for Healthcare).

Research output: Contribution in Book/Catalog/Report/Conference proceeding › Conference contribution

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AU - Lima dos Santos, Edilton

AU - Perrouin, Gilles

AU - Schobbens, Pierre Yves

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AB - 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.

KW - MAPE-K loop

KW - Self-adapting

KW - Software architecture

KW - Software test

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BT - Proceedings - VaMoS 2020

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Y2 - 5 February 2020 through 7 February 2020

ER -

Lima dos Santos E , Perrouin G , Schobbens PY. STARS: Software Technology for Adaptable and Reusable Systems PhD Research Project. In Cordy M, Acher M, Beuche D, Saake G, editors, Proceedings - VaMoS 2020: 14th International Working Conference on Variability Modelling of Software-Intensive Systems. ACM Press. 2020. p. 1-2. a15. (PervasiveHealth: Pervasive Computing Technologies for Healthcare). doi: 10.1145/3377024.3377033

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

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