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RE2021
Mon 20 - Fri 24 September 2021
Thu 23 Sep 2021 12:00 - 12:30 at Basilica - Tracing Chair(s): Emilio Insfran

Domain modelling abstracts real-world entities and their relationships in the form of class diagrams for a given domain problem space. Modellers often perform domain modelling to reduce the gap between understanding the problem description which expresses requirements in natural language and the concise interpretation of these requirements. However, the manual practice of domain modelling is both time-consuming and error-prone. These issues are further aggravated when problem descriptions are long, which makes it hard to trace modelling decisions from domain models to problem descriptions or vice-versa leading to completeness and conciseness issues. Automated support for tracing domain modelling decisions in both directions is thus advantageous. In this paper, we propose an automated approach that uses artificial intelligence techniques to extract domain models along with their trace links. We present a traceability information model to enable traceability of modelling decisions in both directions and provide its proof-of-concept in the form of a tool. The evaluation on a set of unseen problem descriptions shows that our approach is promising with an overall median F2 score of 82.04%. We conduct an exploratory user study to assess the benefits and limitations of our approach and present the lessons learned from this study.

Thu 23 Sep

Displayed time zone: Eastern Time (US & Canada) change

12:00 - 13:00
TracingResearch Papers at Basilica
Chair(s): Emilio Insfran Universitat Politècnica de València, Spain

Go to midspace

12:00
30m
Talk
Automated Traceability for Domain Modelling Decisions Empowered by Artificial IntelligenceResearch Paper
Research Papers
Rijul Saini McGill University, Gunter Mussbacher McGill University, Canada, Jin L.C. Guo McGill University, Jörg Kienzle McGill University, Canada
12:30
30m
Talk
Design Decisions in the Construction of Traceability Information Models for Safe Automotive SystemsResearch Paper
Research Papers
Jan-Philipp Steghöfer Chalmers | University of Gothenburg, Björn Koopmann OFFIS e.V, Jan Steffen Becker OFFIS e.V, Mikaela Törnlund Chalmers | University of Gothenburg, Yulla Ibrahim Chalmers | University of Gothenburg, Mazen Mohamad Chalmers and University of Gothenburg