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Ninth International Workshop on Managing Technical Debt: report on the MTD 2017 workshop

Published:22 May 2017Publication History

ABSTRACT

Welcome to the Ninth International Workshop on Managing Technical Debt, collocated with the 18th International Conference on Agile Software Development (XP 2017) in Cologne. The technical debt research community continues to expand through collaborations of industry, tool vendors, and academia. The main topic of this year's workshop was on the impact of agile development approaches towards the management of technical debt.

References

  1. Clemente Izurieta, Ipek Ozkaya, Carolyn Seaman, and Will Snipes. 2017. Technical Debt: A Research Roadmap, Report on the Eighth Workshop on Managing Technical Debt (MTD 2016). ACM SIGSOFT Software Engineering Notes 42, 1 (2017), 28--31. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. Philippe Kruchten, Robert L. Nord, and Ipek Ozkaya. 2012. Technical Debt: From Metaphor to Theory and Practice. IEEE Software 29, 6 (2012), 18--21. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. Philippe Kruchten, Robert L. Nord, Ipek Ozkaya, and Davide Falessi. 2013. Technical debt: Towards a Crisper Definition, Report on the 4th International Workshop on Managing Technical Debt. ACM SIGSOFT Software Engineering Notes 38, 5 (2013), 51--54. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. Dagstuhl Reports. 2016. Managing Technical Debt in Software Engineering. Dagstuhl Reports 6 (April 17--22 2016). http://www.dagstuhl.de/16162Google ScholarGoogle Scholar
  5. Eric Ries. 2011. The Lean Startup: How Constant Innovation Creates Radically Successful Businesses. Portfolio Penguin.Google ScholarGoogle Scholar

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  1. Ninth International Workshop on Managing Technical Debt: report on the MTD 2017 workshop

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                • Published in

                  cover image ACM Other conferences
                  XP '17: Proceedings of the XP2017 Scientific Workshops
                  May 2017
                  124 pages
                  ISBN:9781450352642
                  DOI:10.1145/3120459

                  Copyright © 2017 ACM

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                  Association for Computing Machinery

                  New York, NY, United States

                  Publication History

                  • Published: 22 May 2017

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