2022 IEEE 30th International Requirements Engineering Conference (RE) 2022
DOI: 10.1109/re54965.2022.00030
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DizSpec: Digitalization of Requirements Specification Documents to Automate Traceability and Impact Analysis

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Cited by 5 publications
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“…Automating requirements and feature extraction using NLP remains a challenging task and requires domain expertise to fine tune the tools and verify the results. Rajbhoj et al described successful extraction of traceability information from requirements specifications that are highly structured, which was not the case here [32]. Weston et al proposed a framework to identify and cluster the features from heterogeneous textual requirements using Latent Semantic Analysis (LSA) technique [40].…”
Section: Related Workmentioning
confidence: 99%
“…Automating requirements and feature extraction using NLP remains a challenging task and requires domain expertise to fine tune the tools and verify the results. Rajbhoj et al described successful extraction of traceability information from requirements specifications that are highly structured, which was not the case here [32]. Weston et al proposed a framework to identify and cluster the features from heterogeneous textual requirements using Latent Semantic Analysis (LSA) technique [40].…”
Section: Related Workmentioning
confidence: 99%