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TechDebt@ICSE 2020: Seoul, Korea
- Clemente Izurieta, Matthias Galster, Michael Felderer:
TechDebt '20: International Conference on Technical Debt, Seoul, Republic of Korea, June 28-30, 2020. ACM 2020, ISBN 978-1-4503-7960-1 - Reem Alfayez
, Wesam Alwehaibi, Robert Winn, Elaine Venson
, Barry W. Boehm:
A systematic literature review of technical debt prioritization. 1-10 - Jie Tan
, Daniel Feitosa
, Paris Avgeriou
:
An empirical study on self-fixed technical debt. 11-20 - Terese Besker
, Antonio Martini, Jan Bosch:
Carrot and stick approaches when managing technical debt. 21-30 - Daniel Cruz, Amanda Santana, Eduardo Figueiredo:
Detecting bad smells with machine learning algorithms: an empirical study. 31-40 - Laura Waltersdorfer, Felix Rinker
, Lukas Kathrein, Stefan Biffl:
Experiences with technical debt and management strategies in production systems engineering. 41-50 - Fabian Gilson
, Miguel Morales Trujillo, Moffat Mathews:
How junior developers deal with their technical debt? 51-61 - Marco Couto
, Daniel Maia, João Saraiva
, Rui Pereira
:
On energy debt: managing consumption on evolving software. 62-66 - Anders Sundelin, Javier Gonzalez-Huerta, Krzysztof Wnuk:
The hidden cost of backward compatibility: when deprecation turns into technical debt - an experience report. 67-76 - Vladimir Mandic
, Nebojsa Tausan
, Robert Ramac:
The prevalence of the technical debt concept in serbian IT industry: results of a national-wide survey. 77-86 - Johann Schütz, Jorge Marx Gómez:
Towards collaborative technical debt management in systems of systems. 87-91 - Ilaria Pigazzini, Francesca Arcelli Fontana, Valentina Lenarduzzi, Davide Taibi
:
Towards microservice smells detection. 92-97 - François Gauthier, Alexander Jordan, Padmanabhan Krishnan, Behnaz Hassanshahi, Jörn Guy Süß
, Sora Bae, Hyunjun Lee:
Trade-offs in managing risk and technical debt in industrial research labs: an experience report. 98-102 - Boris Pérez, Camilo Castellanos, Darío Correal, Nicolli Rios, Sávio Freire
, Rodrigo O. Spínola, Carolyn B. Seaman:
What are the practices used by software practitioners on technical debt payment: results from an international family of surveys. 103-112 - Josep Burgaya Pujols, Pieter Bas, Silverio Martínez-Fernández
, Antonio Martini, Adam Trendowicz:
Skuld: a self-learning tool for impact-driven technical debt management. 113-114 - Humberto Cervantes
, Rick Kazman:
Software archinaut: a tool to understand architecture, identify technical debt hotspots and manage evolution. 115-119

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