GPCE 2021
Sun 17 - Fri 22 October 2021 Chicago, Illinois, United States
co-located with SPLASH 2021
Mon 18 Oct 2021 14:35 - 14:50 at Zurich C - SLE/GPCE Session 7 Chair(s): Bahman Zamani, Davide Di Ruscio
Mon 18 Oct 2021 22:35 - 22:50 at Zurich C - SLE/GPCE Session 7 Chair(s): Coen De Roover

Machine learning is a discipline which has become ubiquitous in the last few years. While the research of AI algorithms is very active and continues to reveal astonishing possibilities on a regular basis, the wide usage of these algorithms is shifting the research focus to the integration, maintenance, and evolution of AI-driven systems. Although there is a variety of machine learning frameworks on the market, there is little support for process automation and DevOps in machine learning-driven projects. In this paper, we discuss how metamodels can support the development of deep learning frameworks and help deal with the steadily increasing variety of learning algorithms. In particular, we present a deep-learning-oriented artifact model which serves as a foundation for build automation and data management in iterative, machine learning-driven development processes. Furthermore, we show how schema and reference models can be used to structure and maintain a versatile deep learning framework. Feasibility is demonstrated on several compelling and relevant state-of-the-art examples from the domains of image and natural language processing as well as decision making and autonomous driving.

Mon 18 Oct

Displayed time zone: Central Time (US & Canada) change

13:50 - 15:10
SLE/GPCE Session 7GPCE / SLE at Zurich C +8h
Chair(s): Bahman Zamani University of Isfahan, Davide Di Ruscio University of L'Aquila
13:50
15m
Talk
A DSL for Explanatory Decision MakingVirtual
GPCE
Martin Erwig Oregon State University, Prashant Kumar Oregon State University
14:05
15m
Talk
SEALS: A framework for building Self-Adaptive Virtual MachinesVirtual
SLE
Gwendal Jouneaux University of Rennes; Inria; IRISA, Olivier Barais University of Rennes; Inria; IRISA, Benoit Combemale University of Rennes; Inria; IRISA, Gunter Mussbacher McGill University
14:20
15m
Talk
Understanding and Improving Model-Driven IoT Systems Through Accompanying Digital TwinsVirtual
GPCE
Jörg Christian Kirchhof RWTH Aachen University, Lukas Malcher RWTH Aachen University, Bernhard Rumpe RWTH Aachen
14:35
15m
Talk
Artifact and Reference Models for Generative AI Frameworks and Build SystemsVirtual
GPCE
Abdallah Atouani RWTH Aachen University, Jörg Christian Kirchhof RWTH Aachen University, Evgeny Kusmenko RWTH Aachen University, Bernhard Rumpe RWTH Aachen
14:50
20m
Live Q&A
Discussion, Questions and Answers
SLE

21:50 - 23:10
SLE/GPCE Session 7SLE / GPCE at Zurich C
Chair(s): Coen De Roover Vrije Universiteit Brussel
21:50
15m
Talk
A DSL for Explanatory Decision MakingVirtual
GPCE
Martin Erwig Oregon State University, Prashant Kumar Oregon State University
22:05
15m
Talk
SEALS: A framework for building Self-Adaptive Virtual MachinesVirtual
SLE
Gwendal Jouneaux University of Rennes; Inria; IRISA, Olivier Barais University of Rennes; Inria; IRISA, Benoit Combemale University of Rennes; Inria; IRISA, Gunter Mussbacher McGill University
22:20
15m
Talk
Understanding and Improving Model-Driven IoT Systems Through Accompanying Digital TwinsVirtual
GPCE
Jörg Christian Kirchhof RWTH Aachen University, Lukas Malcher RWTH Aachen University, Bernhard Rumpe RWTH Aachen
22:35
15m
Talk
Artifact and Reference Models for Generative AI Frameworks and Build SystemsVirtual
GPCE
Abdallah Atouani RWTH Aachen University, Jörg Christian Kirchhof RWTH Aachen University, Evgeny Kusmenko RWTH Aachen University, Bernhard Rumpe RWTH Aachen
22:50
20m
Live Q&A
Discussion, Questions and Answers
SLE