REFSQ 2024
Mon 8 - Thu 11 April 2024 Winterthur, Switzerland
Thu 11 Apr 2024 11:00 - 11:20 at Vorhangsaal Conference room MA-E0.46 - NLP for RE (R8) Chair(s): Julian Frattini

Context and motivation: In this industry-academia collaborative project, a team of researchers, supported by a software architect, business analyst, and test engineer explored the challenges of requirement variability in a large business software development company. Question/ problem: Following the design science paradigm, we studied the problem of requirements analysis and tracing in the context of contractual documents, with a specific focus on managing requirements variability. This paper reports on the lessons learned from that experience, highlighting the strategies and insights gained in the realm of requirements variability management. Principal ideas/results: This experience report outlines the insights gained from applying design science in requirements engineering research in industry. We show and evaluate various strategies to tackle the issue of requirement variability. Contribution: We report on the iterations and how the solution development evolved in parallel with problem understanding. From this process, we derive five key lessons learned to highlight the effectiveness of design science in exploring solutions for requirement variability in contract-based environments.

Thu 11 Apr

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

11:00 - 11:45
NLP for RE (R8)Research Track at Vorhangsaal Conference room MA-E0.46
Chair(s): Julian Frattini Blekinge Institute of Technology
11:00
20m
Talk
Designing NLP-based solutions for requirements variability management: experiences from a design science study at VismaExperience Report
Research Track
P: Parisa Elahidoost fortiss GmbH, A: Michael Unterkalmsteiner , A: Davide Fucci Blekinge Institute of Technology, A: Peter Liljenberg Visma (at the time of the research), A: Jannik Fischbach Netlight GmbH / fortiss GmbH, D: Rim Zrelli Polytechnique Montréal
11:20
20m
Talk
Natural2CTL: A Dataset for Natural Language Requirements and their CTL Formal EquivalentsResearch Preview
Research Track
P: Rim Zrelli Polytechnique Montréal, A: Henrique Amaral Misson Polytechnique Montréal, A: Maroua Ben Attia Humanitas Solutions, A: Felipe Gohring de Magalhães Polytechnique Montréal, A: Abdo Shabah HumanITas Solutions, A: Gabriela Nicolescu Polytechnique Montréal, D: Parisa Elahidoost fortiss GmbH