Automatic extraction of cause-effect-relations from requirements artifacts
Julian Frattini, Maximilian Junker, Michael Unterkalmsteiner, Daniel Méndez · 2020
Background: The detection and extraction of causality from natural language sentences have shown great potential in various fields of application. The field of requirements engineering is eligible for multiple reasons: (1) requirements artifacts are primarily written in natural language, (2) causal sentences convey essential context about the subject of requirements, and (3) extracted and formalized causality relations are usable for a (semi-)automatic translation into further artifacts, such as test cases.