Automatic Extraction of Cause-Effect-Relations from Requirements Artifacts
Abstract
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.
BibTeX
@inproceedings{Frattini-al:ASE20,
author = {Julian Frattini and
Maximilian Junker and
Michael Unterkalmsteiner and
Daniel M{\'{e}}ndez},
title = {Automatic Extraction of {Cause-Effect-Relations} from Requirements Artifacts},
booktitle = {ASE},
pages = {561--572},
publisher = {{IEEE}},
year = {2020},
}