Run-time Monitoring of Self-Adaptive Systems to Detect N-way Feature Interactions and their Causes (SEAMS 2018 - 13th International Symposium on Software Engineering for Adaptive and Self-Managing Systems) - SEAMS 2018

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Mon 28 - Tue 29 May 2018 Gothenburg, Sweden

co-located with * ICSE 2018 *

Who

Byron Devries, Betty H.C. Cheng

Track

Time Zone

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When

Mon 28 May 2018 16:40 - 16:55 at E1 room - Modeling Chair(s): Nelly Bencomo

Byron Devries

Grand Valley State University

Betty H.C. Cheng

Michigan State University

United States

Time Zone

The program is currently displayed in (GMT+02:00) Amsterdam, Berlin, Bern, Rome, Stockholm, Vienna.

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Time Band

By setting a time band, the program will dim events that are outside this time window. This is useful for (virtual) conferences with a continuous program (with repeated sessions).
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Session Program

Mon 28 May
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	16:00 - 17:30	ModelingSEAMS 2018 at E1 room Chair(s): Nelly Bencomo Aston University

	16:00 25m		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
	16:25 15m		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
	16:40 15m		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
	16:55 15m		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