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

  • Liping Zhao (Contributor)
  • Waad Alhoshan (Contributor)
  • Alessio Ferrari (Contributor)
  • Keletso J Letsholo (Contributor)
  • Muideen Ajagbe (Contributor)
  • Erol-Valeriu Chioasca (Contributor)
  • Riza Theresa Batista-Navarro (Contributor)

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.
Date made available3 Jul 2020
PublisherMendeley Data

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