Write a Blog >>
TechDebt 2018
Sun 27 - Mon 28 May 2018 Gothenburg, Sweden
co-located with * ICSE 2018 *
Sun 27 May 2018 10:00 - 10:30 at R17+18 - Incurring Debt Chair(s): Klaus Schmid

Architectural Technical Debt (ATD) regards sub-optimal design decisions that bring short-term benefits to the cost of long-term gradual deterioration of the quality of the architecture of a software system. The identification of ATD strongly influences the technical and economic sustainability of software systems and is attracting growing interest in the scientific community. During the years several approaches for ATD identification have been conceived, each of them addressing ATD from different perspectives and with heterogeneous characteristics. In this paper we apply the systematic mapping study methodology for identifying, classifying, and evaluating the state of the art on ATD identification from the following three perspectives: publication trends, characteristics, and potential for industrial adoption. Specifically, starting from a set of 509 potentially relevant studies, we systematically selected 47 primary studies and analyzed them according to a rigorously-defined classification framework. The analysis of the obtained results supports both researchers and practitioners by providing (i) an assessment of current research trends and gaps in ATD identification, (ii) a solid foundation for understanding existing (and future) research on ATD identification, and (iii) a rigorous evaluation of its potential for industrial adoption.

Sun 27 May

Displayed time zone: Amsterdam, Berlin, Bern, Rome, Stockholm, Vienna change

09:30 - 10:30
Incurring DebtTechDebt 2018 at R17+18
Chair(s): Klaus Schmid Stiftung University Hildesheim
An Exploratory Study on the Influence of Developers in Technical Debt
TechDebt 2018
Reem Alfayez , Pooyan Behnamghader University of Southern California, USA, Kamonphop Srisopha University of Southern California, USA, Barry Boehm University of Southern California
Architectural Technical Debt Identification: The Research Landscape
TechDebt 2018
Roberto Verdecchia Gran Sasso Science Institute, Vrije Universiteit Amsterdam, Ivano Malavolta Vrije Universiteit Amsterdam, Patricia Lago Vrije Universiteit Amsterdam
Link to publication Pre-print