DROPS

Document

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.

Cite as

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)

Copy BibTex To Clipboard

@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}
}

Document

DOI: 10.4230/DagRep.6.4.110

Managing Technical Debt in Software Engineering (Dagstuhl Seminar 16162)

Authors: Paris Avgeriou, Philippe Kruchten, Ipek Ozkaya, and Carolyn Seaman

Published in: Dagstuhl Reports, Volume 6, Issue 4 (2016)

Abstract

This report documents the program and outcomes of Dagstuhl Seminar 16162, “Managing Technical Debt in Software Engineering.” We summarize the goals and format of the seminar, results from the breakout groups, a definition for technical debt, a draft conceptual model, and a research road map that culminated from the discussions during the seminar. The report also includes the abstracts of the talks presented at the seminar and summaries of open discussions.

Cite as

Paris Avgeriou, Philippe Kruchten, Ipek Ozkaya, and Carolyn Seaman. Managing Technical Debt in Software Engineering (Dagstuhl Seminar 16162). In Dagstuhl Reports, Volume 6, Issue 4, pp. 110-138, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2016)

Copy BibTex To Clipboard

@Article{avgeriou_et_al:DagRep.6.4.110,
  author =	{Avgeriou, Paris and Kruchten, Philippe and Ozkaya, Ipek and Seaman, Carolyn},
  title =	{{Managing Technical Debt in Software Engineering (Dagstuhl Seminar 16162)}},
  pages =	{110--138},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2016},
  volume =	{6},
  number =	{4},
  editor =	{Avgeriou, Paris and Kruchten, Philippe and Ozkaya, Ipek and Seaman, Carolyn},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagRep.6.4.110},
  URN =		{urn:nbn:de:0030-drops-66938},
  doi =		{10.4230/DagRep.6.4.110},
  annote =	{Keywords: coding tools and techniques, design tools and techniques, management, metrics, software engineering}
}

Search Results

Documents authored by Ozkaya, Ipek

Software Architecture and Machine Learning (Dagstuhl Seminar 23302)

Abstract

Cite as

Managing Technical Debt in Software Engineering (Dagstuhl Seminar 16162)

Abstract

Cite as

Thanks for your feedback!

Could not send message