XP 2017

Technical debt is a metaphor that software developers and managers increasingly use to communicate key tradeoffs related to release and quality issues. The Managing Technical Debt workshop series has, since 2010, brought together practitioners and researchers to discuss and define issues related to technical debt and how they can be studied. Workshop participants reiterate the usefulness of the concept each year, share emerging practices used in software development organizations, and emphasize the need for more research and better means for sharing emerging practices and results.

More information about the program is available at: https://www.sei.cmu.edu/community/td2017/

Selling the Business Case for Architectural Debt Reduction
Eltjo Poort, CGI

Changes and Challenges of Technical Debt and Its Management During Ongoing Digital Transformation
Jesse Yli-Huumo and Kari Smolander

Revisiting Context-Based Code Smells Prioritization: On Supporting Referred Context
Natthawute Sae-Lim, Shinpei Hayashi, and Motoshi Saeki

Who Is Producing More Technical Debt? A Personalized Assessment of TD Principal
Theodoros Amanatidis, Alexandros Chatzigeorgiou, Apostolos Ampatzoglou, and Ioannis Stamelos

Assessing Code Smell Interest Probability: A Case Study
Sofia Charalampidou, Apostolos Ampatzoglou, Alexandros Chatzigeorgiou, and Paris Avgeriou

An Investigation of Technical Debt in Automated Production Systems
Terese Besker, Antonio Martini, Jan Bosch, and Matthias Tichy

The Magnificent Seven: Towards a Systematic Estimation of the Technical Debt Interest
Antonio Martini and Jan Bosch

Towards Triaging Code-Smell Candidates Based on Scenarios and Method-Call Dependencies
Thorsten Haendler, Stefan Sobernig, and Mark Strembeck

Technical Debt Interest Assessment: From Issues to Project
Antonio Martini, Simon Vajda, Mohamed Abdelrazek, Allan Jones, Rajesh Vasa, John Grundy, and Jan Bosch

Organizers: Francesca Arcelli Fontana, Clemente Izurieta and Wolfgang Trumler