Natural Language Processing (NLP) for Requirements Engineering: A Systematic Mapping Study Dataset

Published: 3 July 2020| Version 1 | DOI: 10.17632/zs9vkk7sb7.1
Contributors:
Liping Zhao,
Waad Alhoshan,
Alessio Ferrari,
Keletso J. Letsholo,
Muideen Ajagbe,
Erol-Valeriu Chioasca,
Riza.T Batista-Navarro

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)