Towards a Robust On-line Performance Model Identification for Change Impact Prediction (SEAMS 2023 - Research Track) - SEAMS 2023

Mon 15 - Tue 16 May 2023 Melbourne, Australia

co-located with ICSE 2023

Who

Yar Rouf, Joydeep Mukherjee, Marin Litoiu

Track

SEAMS 2023 Research Track

Time Zone

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When

Mon 15 May 2023 14:35 - 15:00 at Meeting Room 105 - Session 2: Digital twins and non-functional properties Chair(s): Sona Ghahremani

Yar Rouf

Joydeep Mukherjee

Marin Litoiu

York University, Canada

Canada

Time Zone

The program is currently displayed in (GMT+10:00) Hobart.

Use conference time zone: (GMT+10:00) HobartSelect other time zone

The GMT offsets shown reflect the offsets at the moment of the conference.

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).
The time band will also limit the events that are included in the personal iCalendar subscription service.

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Session Program

Mon 15 May
Displayed time zone: Hobart change

	13:45 - 15:15	Session 2: Digital twins and non-functional propertiesResearch Track / Artifact Track at Meeting Room 105 Chair(s): Sona Ghahremani Hasso Plattner Institute, University of Potsdam

	13:45 25m Paper		Dynamic Runtime Integration of New Models in Digital Twins Research Track Henrik Ejersbo , Kenneth Lausdahl , Mirgita Frasheri , Lukas Esterle
	14:10 25m Paper		Adaptive Controllers and Digital Twin for Self-Adaptive Robotic Manipulators Research Track Farid Edrisi Linnaeus University, Diego Pérez Linnaeus University, Mauro Caporuscio Linnaeus University, Samuele Giussani Linnaeus University
	14:35 25m Paper		Towards a Robust On-line Performance Model Identification for Change Impact Prediction Research Track Yar Rouf , Joydeep Mukherjee , Marin Litoiu York University, Canada
	15:00 15m Short-paper		Adaptively Managing Reliability of Machine Learning Perception under Changing Operating Conditions Research Track Aniket Salvi , Gereon Weiss Fraunhofer IKS, Mario Trapp Fraunhofer IESE