TY  - JOUR
AV  - public
VL  - 16
A1  - Rosa Delima
A1  - Retantyo Wardoyo
A1  - Khabib Mustofa
SP  - 913
KW  - CombineTF
KW  -  Jaro-Winkler
KW  -  Levenshtein distance
KW  -  Requirements engineering
KW  -  Term frequency
JF  - Jurnal ICIC Express Letters
EP  - 921
UR  - https://doi.org/10.24507/icicel.16.09.913
SN  - 1881-803X
N2  - 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.
Y1  - 2022/09//
ID  - katalog9287
TI  - COMBINETF FOR REQUIREMENTS DATA SIMILARITY DETECTION ON AREM
IS  - 9
ER  -