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SEAMS 2018
Mon 28 - Tue 29 May 2018 Gothenburg, Sweden
co-located with * ICSE 2018 *
Mon 28 May 2018 16:55 - 17:10 at E1 room - Modeling Chair(s): Nelly Bencomo

Self-adaptive software systems are often structured into an adaptation engine that manages an adaptable software by operating on a runtime model that represents the architecture of the software (model-based architectural self-adaptation). Despite the popularity of such approaches, existing exemplars provide application programming interfaces but no runtime model to develop adaptation engines. Consequently, there does not exist any exemplar that supports developing, evaluating, and comparing model-based self-adaptation off the shelf. Therefore, we present mRUBiS, an extensible exemplar for model-based architectural self-healing and self-optimization. mRUBiS simulates the adaptable software and therefore provides and maintains an architectural runtime model of the software, which can be directly used by adaptation engines to realize and perform self-adaptation. Particularly, mRUBiS supports injecting issues into the model, which should be handled by self-adaptation, and validating the model to assess the self-adaptation. Finally, mRUBiS allows developers to explore variants of adaptation engines (e.g., event-driven self-adaptation) and to evaluate the effectiveness, efficiency, and scalability of the engines.

Postdoctoral software engineering researcher.

You can follow me on Twitter via @tomvog.

(Profile picture: © Sabine Mittermeier)

Mon 28 May

Displayed time zone: Amsterdam, Berlin, Bern, Rome, Stockholm, Vienna change

16:00 - 17:30
ModelingSEAMS 2018 at E1 room
Chair(s): Nelly Bencomo Aston University
Hybrid Adaptation Policies – Towards a Framework for Classification and Modelling of Different Combinations of Adaptation PoliciesLong Paper
SEAMS 2018
Frank Trollmann DAI-Labor, TU Berlin, Johannes Fähndrich DAI-Labor, TU Berlin, Sahin Albayrak DAI-Labor, TU Berlin
A Systematic Literature Review of UML-based Domain-Specific Modeling Languages for Self-adaptive SystemsShort Paper
SEAMS 2018
João Pablo S. Da Silva Universidade Federal do Rio Grande do Sul (UFRGS), Brazil, Miguel Ecar Federal University of Pampa, Brazil, Marcelo S. Pimenta Universidade Federal do Rio Grande do Sul (UFRGS), Brazil, Gilleanes T. A. Guedes Federal University of Pampa, Brazil , Luiz Paulo Franz Federal University of Pampa, Brazil , Luciano Marchezan Federal University of Pampa, Brazil
Run-time Monitoring of Self-Adaptive Systems to Detect N-way Feature Interactions and their CausesShort Paper
SEAMS 2018
Byron Devries Grand Valley State University, Betty H.C. Cheng Michigan State University
mRUBiS: An Exemplar for Model-Based Architectural Self-Healing and Self-OptimizationArtifact
SEAMS 2018
Thomas Vogel Humboldt-Universität zu Berlin
Link to publication Pre-print