Journal Article•Tahun 2021•Scopus Q2

Enhancing Software Feature Extraction Results Using Sentiment Analysis to Aid Requirements Reuse

Penulis / Authors

Indra Kharisma Raharjana, Via Aprillya, Badrus Zaman, Army Justitia, Shukor Sanim Mohd Fauzi

Publikasi / Jurnal / Konferensi

Computers (Vol. 10, No. 3, 36)

Identifier Digital (DOI)

https://doi.org/10.3390/computers10030036

Abstrak

Extracting relevant features from existing software repositories and user app reviews using aspect-level sentiment classification to streamline requirements reuse in ongoing software engineering lifecycles.

Kata Kunci

Sentiment Analysis, Feature Extraction, Requirements Reuse, Natural Language Processing

Format Sitasi BibTeX

@article{caiis_pub-4,
  title = {Enhancing Software Feature Extraction Results Using Sentiment Analysis to Aid Requirements Reuse},
  author = {Indra Kharisma Raharjana, Via Aprillya, Badrus Zaman, Army Justitia, Shukor Sanim Mohd Fauzi},
  journal = {Computers},
  year = {2021},
  doi = {10.3390/computers10030036},
  pages = {Vol. 10, No. 3, 36},
}