Abstract is missing.
- Message from the chairsNeil A. Ernst, Paris Avgeriou, Philippe Kruchten. [doi]
- Towards an open-source tool for measuring and visualizing the interest of technical debtDavide Falessi, Andreas Reichel. 1-8 [doi]
- Detecting and quantifying different types of self-admitted technical DebtEverton da S. Maldonado, Emad Shihab. 9-15 [doi]
- Towards a prioritization of code debt: A code smell Intensity IndexFrancesca Arcelli Fontana, Vincenzo Ferme, Marco Zanoni, Riccardo Roveda. 16-24 [doi]
- A Contextualized Vocabulary Model for identifying technical debt on code commentsMário André De Freitas Farias, Manoel Gomes de Mendonça Neto, Andre Batista da Silva, Rodrigo Oliveira Spínola. 25-32 [doi]
- Identifying and visualizing Architectural Debt and its efficiency interest in the automotive domain: A case studyUlf Eliasson, Antonio Martini, Robert Kaufmann, Sam Odeh. 33-40 [doi]
- Validating and prioritizing quality rules for managing technical debt: An industrial case studyDavide Falessi, Alexander Voegele. 41-48 [doi]
- Technical debt in Automated Production SystemsBirgit Vogel-Heuser, Susanne Rösch, Antonio Martini, Matthias Tichy. 49-52 [doi]
- Estimating the breaking point for technical debtAlexander Chatzigeorgiou, Apostolos Ampatzoglou, Areti Ampatzoglou, Theodoros Amanatidis. 53-56 [doi]
- Technical debt of standardized test softwareKristóf Szabados, Attila Kovács. 57-60 [doi]
- Decision-making framework for refactoringMarko Leppänen, Samuel Lahtinen, Kati Kuusinen, Simo Mäkinen, Tomi Männistö, Juha Itkonen, Jesse Yli-Huumo, Timo Lehtonen. 61-68 [doi]
- A framework to aid in decision making for technical debt managementCarlos Fernandez-Sanchez, Juan Garbajosa, Agustín Yagüe. 69-76 [doi]
- Restructuring and refinancing technical debtRaul Zablah, Christian Murphy. 77-80 [doi]