OpenReq-DD: A requirements dependency detection tool
Document typeConference lecture
Rights accessOpen Access
All rights reserved. This work is protected by the corresponding intellectual and industrial property rights. Without prejudice to any existing legal exemptions, reproduction, distribution, public communication or transformation of this work are prohibited without permission of the copyright holder
ProjectOPENREQ - Intelligent Recommendation Decision Technologies for Community-Driven Requirements Engineering (EC-H2020-732463)
Requirements Engineering (RE) is one of the most critical phases insoftware development. Analyzing requirements data is a laborious taskperformed by expert stakeholders using manual processes, as there areno standard automatic tools to handle this issue in a more efficientway. The purpose of this paper is to summarize the approach of theOpenReq-DD dependency detection tool developed at the OpenReqproject, which allows an automatic requirement dependency detectionapproach. The core of this proposal is based on an ontology whichdefines dependency relations between specific terminologies related tothe domain of the requirements. Using this information, it is possible toapply Natural Language Processing techniques to extract meaning fromthese requirements and relations, and Machine Learning techniques toapply conceptual clustering, with the major purpose of classifying theserequirements into the defined ontology.
CitationMotger, J. [et al.]. OpenReq-DD: A requirements dependency detection tool. A: Workshop on Natural Language Processing for Requirements Engineering and NLP Tool Showcase. "Joint Proceedings of REFSQ-2019 workshops, doctoral symposium, live studies track, and poster track: co-located with the 25th International Conference on Requirements Engineering: Foundation for Software Quality (REFSQ 2019): Essen, Germany, March 18th, 2019". CEUR-WS.org, 2019, p. 1-5.