A Semiautomatic Approach to Identify Architectural Technical Debt from Heterogeneous ArtifactsDoctoral Symposium
Architectural Technical Debt (ATD) is a metaphor used to describe decisions taken by software architects to accomplish short-term goals but possibly negatively affecting the long-term health of the system. However, ATD doesn’t receive enough attention for the architect teams because it is hard to identify, to measure, to prioritize, and its value is related to long-term maintenance and evolution of a system. In this Ph.D. research, we propose a model-driven approach that focuses on building a binary classification model for ATD identification based on the information gathered from artifacts produced during architecture design. This model will allow software architects to support the managing of conscious and unconscious ATD in their software projects. This proposal focuses on TD at the architecture-level only without considering source code. The effectiveness of this proposal will be evaluated using case studies and expert interviews.
Fri 18 SepDisplayed time zone: Amsterdam, Berlin, Bern, Rome, Stockholm, Vienna change
16:10 - 16:50 | S13: Smells and Technical Debt (II)Research Papers / Doctoral Symposium at ECSA 2020 Teams Channel Chair(s): Xabier Larrucea Tecnalia, Gabriel A. Moreno Carnegie Mellon University Virtualization support: Claudio Di Sipio | ||
16:10 20m | Does BERT understand code? - An exploratory study on the detection of architectural tactics in codeshort-paperResearch Track Research Papers Jan Keim Karlsruhe Institute of Technology (KIT), Angelika Kaplan Karlsruhe Institute of Technology, Anne Koziolek Karlsruhe Institute of Technology, Mehdi Mirakhorli Rochester Institute of Technology | ||
16:30 20m | A Semiautomatic Approach to Identify Architectural Technical Debt from Heterogeneous ArtifactsDoctoral Symposium Doctoral Symposium Boris Rainiero Perez Gutierrez University of Los Andes, Colombia | ||
