In software engineering, the metaphor Technical Debt relates sub-optimal technical solutions to financial debts. Such solutions can have benefits in the short term, but they might create extra-costs (interest) in the future, especially in terms of maintainability and evolvability of the software system.
The Technical Debt theoretical framework is useful to translate technical issues into items that can be understood by non-technical stakeholders, who need to evaluate and prioritize the business value of improving internal qualities.
Recently, the Technical Debt metaphor has been developed in the Software Engineering scientific community into a more solid theoretical framework, which has allowed a series of studies and practical approaches. However, there are several open issues with respect to the application of Technical Debt in practice, from its identification to the calculation of the principal (cost of refactoring) and interest. Furthermore, we lack solid evidence on what granularity of information is needed by the stakeholders on their Technical Debt, what can be provided by automatic tools and what needs to be managed manually.
We invite researchers and practitioners to contribute to the special session on the practical and theoretical aspects of the Technical Debt. We especially welcome empirical studies and industrial experiences.
The topics of interest include, but are not limited to:
Antonio Martini CA Technologies and University of Oslo, Sweden
Paris Avgeriou University of Groningen, the Netherlands
Apostolos Ampatzoglou, University of Groningen
Areti Ampatzoglou, University of Groningen
Francesca Arcelli Fontana, University of Milano Bicocca
Rami Bahsoon, School of Computer Sc, University of Birmingham
Ayse Bener, Ryerson University
Terese Besker, Chalmers University of Technology
Jan Bosch, Chalmers University of Technology
Frank Buschmann, Siemens AG
Alexander Chatzigeorgiou, Dept. of Applied Informatics, University of Macedonia
Zadia Codabux, Colby College
Steven Fraser, Innoxec
Alfredo Goldman, University of São Paulo
Christine Hofmeister, East Stroudsburg University
Johannes Holvitie, University of Turku
Clemente Izurieta, Montana State University
Heiko Koziolek, ABB Corporate Research
Philippe Kruchten, The University of British Columbia
Ville Leppänen, University of Turku, Department of Future Technologies
Jean-Louis, Letouzey, inspearit
Leon Moonen, Simula Research Laboratory
Ipek Ozkaya, Carnegie Mellon Software Engineering Institute
Fabio Q. B. Da Silva, Federal University of Pernambuco
Klaus Schmid, University of Hildesheim
Carolyn Seaman, UMBC
Andriy Shapochka, SoftServe Inc.
Dag Sjøberg, Department of Informatics, University of Oslo
Will Snipes, ABB Corporate Research
Kari Systä, Tampere University of Technology
Amjed Tahir, Massey University
Damian Andrew, Tamburri, Politecnico di Milano
Graziela Tonin, Ufpe
Guilherme Travassos, COPPE/UFRJ
Aiko Yamashita, Oslo and Akershus University College of Applied Sciences
Uwe Zdun, University of Vienna