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Traceable Reverse Engineering of UML Artifacts from SRS/SDD Documents Using NLP-Based Text Processing and Siamese BiLSTM: An IdVar4CL Case Study.

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Title: Traceable Reverse Engineering of UML Artifacts from SRS/SDD Documents Using NLP-Based Text Processing and Siamese BiLSTM: An IdVar4CL Case Study.
Authors: Priyadi, Yudi1,2 (AUTHOR) whyphi@telkomuniversity.ac.id, Darwiyanto, Eko3,4 (AUTHOR), Nurtantyana, Rio1,4,5 (AUTHOR)
Source: Ingénierie des Systèmes d'Information. Apr2026, Vol. 31 Issue 4, p1307-1322. 16p.
Database: Business Source Ultimate
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  Data: Traceable Reverse Engineering of UML Artifacts from SRS/SDD Documents Using NLP-Based Text Processing and Siamese BiLSTM: An IdVar4CL Case Study.
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        Value: 10.18280/isi.310425
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        Text: English
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      – TitleFull: Traceable Reverse Engineering of UML Artifacts from SRS/SDD Documents Using NLP-Based Text Processing and Siamese BiLSTM: An IdVar4CL Case Study.
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              Text: Apr2026
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