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.

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