Aulia, Ziana (2023) Sistem Identifikasi Ambiguitas Pernyataan Kebutuhan Perangkat Lunak Menggunakan Pemrosesan Bahasa Alami. Undergraduate thesis, Politeknik Negeri Bengkalis.
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Abstract
In software development, some software developers have difficulty identifying ambiguity in the requirements statement. Identification of ambiguity has an important role in software development because it will determine the quality of the software being developed, if there is an ambiguous statement of requirements it can delay processing time and increase costs in developing software. The purpose of this study is to design an application that is used to identify the structural ambiguity of software requirements statements. The output of this research will be an android-based application that can be used by software developers to identify the structural ambiguity of requirements statements in the SRS (Software Requirements Specification) document. The method used is natural language processing. Identification results were evaluated using the Kappa Index to obtain a reliability index value (Kappa) of 0.99 (Almost Perfect).
| Item Type: | Thesis (Undergraduate) | ||||||||
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| Uncontrolled Keywords: | software requirements specification, natural language processing, part of speech, tags, regular expression parsing, structural ambiguous pattern, flask framework, kappa index, system | ||||||||
| Subjects: | 410 ILMU TEKNIK > 450 TEKNIK ELEKTRO DAN INFORMATIKA > 463 Teknik Perangkat Lunak | ||||||||
| Divisions: | Jurusan Teknik Informatika > Sarjana Terapan Rekayasa Perangkat Lunak > TUGAS AKHIR | ||||||||
| Depositing User: | RPL A | ||||||||
| Date Deposited: | 12 Sep 2023 10:03 | ||||||||
| Last Modified: | 12 Sep 2023 10:03 | ||||||||
| URI: | http://eprints.polbeng.ac.id/id/eprint/10579 |
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