Natural Language Processing (NLP) for Requirements Engineering: A Systematic Mapping Study Dataset
Description
We conducted a systematic mapping study to address and survey the issues of using Natural Language Processing (NLP) in the domain of Requirements Engineering (RE), as a new sub-field of RE research known as NLP4RE studies. The attached datasets represent the references and metadata for the 404 selected and included NLP4RE studies, and a separate document to list all of the unique venues for publishing these studies. For citing the full paper, please use the reference below: @article{zhao2020natural, title={Natural Language Processing (NLP) for Requirements Engineering: A Systematic Mapping Study}, author={Liping Zhao and Waad Alhoshan and Alessio Ferrari and Keletso J. Letsholo and Muideen A. Ajagbe and Erol-Valeriu Chioasca and Riza T. Batista-Navarro}, year={2020}, journal = {ACM Computing Surveys} } Liping Zhao, Waad Alhoshan, Ferrari Alessio, Keletso Letsholo, Muideen Ajagbe, Erol-Valeriu Chioasca, and Riza Batista-Navarro. Natural Language Processing (NLP) for Requirements Engineering: A Systematic Mapping Study. ACM Computing Surveys, 2020.
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The documents are represented as textual files (.pdf)