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Documents authored by Ozkaya, Ipek

Document
DOI: 10.4230/DagRep.14.11.16
Reframing Technical Debt (Dagstuhl Perspectives Workshop 24452)

Authors: Paris Avgeriou, Ipek Ozkaya, Heiko Koziolek, Zadia Codabux, and Neil Ernst

Published in: Dagstuhl Reports, Volume 14, Issue 11 (2025)

Abstract
Technical Debt has undeniably become part of the everyday vocabulary of software engineers and has shaped the way both industry and academia think of tradeoffs made in software development, accounting for both value and cost: taking shortcuts to expedite software release (value) at the potential risk of higher cost for changes in the long term (cost). This trade-off is not to be taken lightly, as Technical Debt is considered by many software organizations to be the "silent killer" of software projects. To avoid being caught off guard, the industry is increasingly incorporating Technical Debt Management practices into their development processes. The research community has also produced a substantial body of knowledge on the topic of Technical Debt. However, the industry requires more capable software tools that can manage both legacy and AI-generated code and specifically target Technical Debt. In addition, the industry needs practices and techniques that better support understanding the fundamental tradeoff: the value from incurring Technical Debt against Technical Debt’s long-term costs. Progress on understanding this tradeoff is hindered due to a lack of high-quality datasets, as well as the comparatively small research effort focused on human and social aspects of Technical Debt. Despite significant early progress in developing a common understanding of the concept of Technical Debt and code-related aspects, the research community and the software-intensive industry need to re-engage. Focusing on how Technical Debt Management is currently practiced and where to focus future research efforts was the goal of this Dagstuhl Perspectives Workshop 24452. The workshop brought together researchers, software tool vendors, and software practitioners to address open challenges and reframe the field of Technical Debt with a concrete and actionable manifesto. The Dagstuhl Report documents the goals, format, and several discussions held during the workshop. The report also includes some of the outputs of the workshop, as well as the abstracts of the talks given by the participants. A key output of the workshop is a report that summarized a manifesto including values, beliefs, and principles of managing technical debt, titled Reframing Technical Debt and released as a separate document in the Dagstuhl Manifestos series.
Cite as

Paris Avgeriou, Ipek Ozkaya, Heiko Koziolek, Zadia Codabux, and Neil Ernst. Reframing Technical Debt (Dagstuhl Perspectives Workshop 24452). In Dagstuhl Reports, Volume 14, Issue 11, pp. 16-39, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2025)

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@Article{avgeriou_et_al:DagRep.14.11.16,
  author =	{Avgeriou, Paris and Ozkaya, Ipek and Koziolek, Heiko and Codabux, Zadia and Ernst, Neil},
  title =	{{Reframing Technical Debt (Dagstuhl Perspectives Workshop 24452)}},
  pages =	{16--39},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2025},
  volume =	{14},
  number =	{11},
  editor =	{Avgeriou, Paris and Ozkaya, Ipek and Koziolek, Heiko and Codabux, Zadia and Ernst, Neil},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagRep.14.11.16},
  URN =		{urn:nbn:de:0030-drops-228217},
  doi =		{10.4230/DagRep.14.11.16},
  annote =	{Keywords: Technical Debt, Software Maintenance and Evolution, Software Architecture, Software Economics, Software Quality, Socio-Technical Aspects of Software Development, AI-Augmented Software Development}
}
Document
DOI: 10.4230/DagRep.13.7.166
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)

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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}
}
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)

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@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}
}
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