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Software Architecture and Machine Learning (Dagstuhl Seminar 23302)

Authors: Grace A. Lewis, Henry Muccini, Ipek Ozkaya, Karthik Vaidhyanathan, Roland Weiss, and Liming Zhu

Published in: Dagstuhl Reports, Volume 13, Issue 7 (2024)

Abstract

This report documents the program and outcomes of Dagstuhl Seminar 23302, "Software Architecture and Machine Learning". We summarize the goals and format of the seminar, results from the breakout groups, key definitions relevant to machine learning-enabled systems that were discussed, and the research roadmap that emerged from the discussions during the seminar. The report also includes the abstracts of the talks presented at the seminar and summaries of open discussions.

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Grace A. Lewis, Henry Muccini, Ipek Ozkaya, Karthik Vaidhyanathan, Roland Weiss, and Liming Zhu. Software Architecture and Machine Learning (Dagstuhl Seminar 23302). In Dagstuhl Reports, Volume 13, Issue 7, pp. 166-188, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2024)

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@Article{lewis_et_al:DagRep.13.7.166,
  author =	{Lewis, Grace A. and Muccini, Henry and Ozkaya, Ipek and Vaidhyanathan, Karthik and Weiss, Roland and Zhu, Liming},
  title =	{{Software Architecture and Machine Learning (Dagstuhl Seminar 23302)}},
  pages =	{166--188},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2024},
  volume =	{13},
  number =	{7},
  editor =	{Lewis, Grace A. and Muccini, Henry and Vaidhyanathan, Karthik and Weiss, Roland and Zhu, Liming},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagRep.13.7.166},
  URN =		{urn:nbn:de:0030-drops-197793},
  doi =		{10.4230/DagRep.13.7.166},
  annote =	{Keywords: Architecting ML-enabled Systems, ML for Software Architecture, Software Architecture for ML, Machine Learning, Software Architecture, Software Engineering}
}

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Software Architecture and Machine Learning (Dagstuhl Seminar 23302)

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