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All Journal Journal on Pustaka Cendekia Informatika Jurnal Cakrawala Akademika
Moch. Darul Gusti Alief
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Aerospace Engineering Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Social Sciences

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Integrasi Large Language Models dalam Evaluasi dan Optimalisasi Arsitektur Perangkat Lunak: Studi Kasus Berbasis ISO/IEC/IEEE 42010 Yosi Briyan Saputro; Moch. Darul Gusti Alief; Muhammad Ainul Yaqin
Jurnal Cakrawala Akademika Vol. 2 No. 1 (2025): Edisi Juni 2025
Publisher : PT. Pustaka Cendekia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70182/jca.v2i1.649

Abstract

Software architecture is essential for developing maintainable and scalable systems. However, issues such as limited documentation and design complexity often hinder effective architectural assessment. The purpose of this study is to study the role of large language models (LLMs) in analyzing software architecture documentation based on the ISO/IEC/IEEE 42010 standard; this study uses literature study methods and automated evaluation experiments on multi-layer systems, where the GPT model serves as an evaluator and Gemini serves as a validator. The results show that LLMs can find architectural conformance to standards, find potential issues, and provide optimization suggestions based on best practices. Despite the fact that manual validation is required to ensure the accuracy of LLM evaluation, the integration of LLMs offers significant opportunities to accelerate the process of data-driven architectural analysis.
Integrasi Large Language Models dalam Evaluasi dan Optimalisasi Arsitektur Perangkat Lunak: Studi Kasus Berbasis ISO/IEC/IEEE 42010 Yosi Briyan Saputro; Moch. Darul Gusti Alief; Muhammad Ainul Yaqin
Journal on Pustaka Cendekia Informatika Vol. 2 No. 1 (2024): Journal on Pustaka Cendekia Informatika: Volume 2 Nomor 1 February - May 2024
Publisher : PT Pustaka Cendekia Group

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70292/pctif.v2i1.44

Abstract

Software architecture is essential for developing maintainable and scalable systems. However, issues such as limited documentation and design complexity often hinder effective architectural assessment. The purpose of this study is to study the role of large language models (LLMs) in analyzing software architecture documentation based on the ISO/IEC/IEEE 42010 standard; this study uses literature study methods and automated evaluation experiments on multi-layer systems, where the GPT model serves as an evaluator and Gemini serves as a validator. The results show that LLMs can find architectural conformance to standards, find potential issues, and provide optimization suggestions based on best practices. Despite the fact that manual validation is required to ensure the accuracy of LLM evaluation, the integration of LLMs offers significant opportunities to accelerate the process of data-driven architectural analysis.
Co-Authors Ainul Yaqin Yosi Briyan Saputro