eprintid: 9287
rev_number: 9
eprint_status: archive
userid: 2098
dir: disk0/00/00/92/87
datestamp: 2024-09-19 03:41:40
lastmod: 2024-09-19 03:41:40
status_changed: 2024-09-19 03:41:40
type: article
metadata_visibility: show
contact_email: repository@staff.ukdw.ac.id
creators_name: , Rosa Delima
creators_name: , Retantyo Wardoyo
creators_name: , Khabib Mustofa
creators_id: 0228107401
title: COMBINETF FOR REQUIREMENTS DATA SIMILARITY DETECTION ON AREM
ispublished: pub
subjects: T1
divisions: fak_tein
full_text_status: public
keywords: CombineTF, Jaro-Winkler, Levenshtein distance, Requirements engineering, Term frequency
abstract: The Automatic Requirements Engineering Model (AREM) is a model that can automate the requirements engineering process. This model accepts input in the form of requirements data from several stakeholders. The similarity of the description of the requirements of one stakeholder with other stakeholders is very likely to occur. Therefore, the collected requirements data are to be processed and tested for similarity so that there is no duplication of requirements in system modeling. In this study, the CombineTF method was developed to check the similarity of the data requirements. CombineTF is a hybrid method that combines a term-based approach with Term Frequency (TF) and characterbased similarity. In this research, CombineTF is integrated with the Jaro-Winkler algorithm and Levenshtein distance as a character-based similarity. The experimental results show that CombineTF has a good performance for measuring the similarity of requirements documents with a threshold of more than 0.5.
date: 2022-09
publication: Jurnal ICIC Express Letters
volume: 16
number: 9
pagerange: 913-921
id_number: doi:10.24507/icicel.16.09.913
refereed: TRUE
issn: 1881-803X
official_url: https://doi.org/10.24507/icicel.16.09.913
funders: rw@ugm.ac.id
citation:   Rosa Delima and Retantyo Wardoyo and Khabib Mustofa  (2022) COMBINETF FOR REQUIREMENTS DATA SIMILARITY DETECTION ON AREM.  Jurnal ICIC Express Letters, 16 (9).  pp. 913-921.  ISSN 1881-803X     
document_url: https://katalog.ukdw.ac.id/9287/1/COMBINETF%20FOR%20REQUIREMENTS%20DATA%20SIMILARITY.pdf