Journal Article•Tahun 2023•Scopus Q1

User story extraction from natural language for requirements elicitation: Identify software-related information from online news

Penulis / Authors

Daniel Siahaan, Indra Kharisma Raharjana, Chastine Fatichah

Publikasi / Jurnal / Konferensi

Information and Software Technology (Vol. 159, 107195)

Identifier Digital (DOI)

https://doi.org/10.1016/j.infsof.2023.107195

Abstrak

Automating the extraction of software requirements from informal text sources such as online news. Proposes advanced semantic parsing and classification mechanisms to identify functional features and actor intentions.

Kata Kunci

Natural Language Processing, Requirements Engineering, User Story Extraction, Text Mining

Format Sitasi BibTeX

@article{caiis_pub-2,
  title = {User story extraction from natural language for requirements elicitation: Identify software-related information from online news},
  author = {Daniel Siahaan, Indra Kharisma Raharjana, Chastine Fatichah},
  journal = {Information and Software Technology},
  year = {2023},
  doi = {10.1016/j.infsof.2023.107195},
  pages = {Vol. 159, 107195},
}