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CiRA: A Tool for the Automatic Detection of Causal Relationships in Requirements Artifacts
Qualicen GmbH, DEU.
Blekinge Institute of Technology, Faculty of Computing, Department of Software Engineering.ORCID iD: 0000-0003-3995-6125
University of Cologne, DEU.
2021 (English)In: CEUR Workshop Proceedings / [ed] Aydemir F.B.,Gralha C.,Daneva M.,Groen E.C.,Herrmann A.,Mennig P.,Abualhaija S.,Ferrari A.,Guo J.,Guizzardi R.,Horkoff J.,Perini A.,Susi A.,Breaux T.,Franch X.,Ernst N.,Paja E.,Seyff N., CEUR-WS , 2021, Vol. 2857Conference paper, Published paper (Refereed)
Abstract [en]

Requirements often specify the expected system behavior by using causal relations (e.g., If A, then B). Automatically extracting these relations supports, among others, two prominent RE use cases: Automatic test case derivation and dependency detection between requirements. However, existing tools fail to extract causality from natural language with reasonable performance. In this paper, we present our tool CiRA (Causality detection in Requirements Artifacts), which represents a first step towards automatic causality extraction from requirements. We evaluate CiRA on a publicly available data set of 61 acceptance criteria (causal: 32; non-causal: 29) describing the functionality of the German Corona-Warn-App. We achieve a macro1 score of 83 %, which corroborates the feasibility of our approach. © 2021 CEUR-WS. All rights reserved.

Place, publisher, year, edition, pages
CEUR-WS , 2021. Vol. 2857
Keywords [en]
Causality, Natural Language Processing, Requirements Engineering, Tool Demo, Computer software selection and evaluation, Acceptance criteria, Automatic Detection, Causal relations, Causal relationships, Dependency detection, Natural languages, System behaviors, Test case derivations
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:bth-21416Scopus ID: 2-s2.0-85105597789OAI: oai:DiVA.org:bth-21416DiVA, id: diva2:1556389
Conference
Joint Workshops of the 27th International Conference on Requirements Engineering, REFSQ 2021 - OpenRE, Posters and Tools Track, and Doctoral Symposium, Essen, Germany, 12 April 2021
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open access

Available from: 2021-05-21 Created: 2021-05-21 Last updated: 2021-05-21Bibliographically approved

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Frattini, Julian

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CiteExportLink to record
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Citation style
  • apa
  • ieee
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