relation: https://digilib.uin-suka.ac.id/id/eprint/74874/
title: RANCANG BANGUN EKSTENSI VISUAL STUDIO CODE (VSCODE) TERINTEGRASI AI UNTUK GENERASI UNIT TEST
creator: Fansuri Fadel Fitrah Prakon, NIM.: 21106050091
subject: 005.12 Software System Analysis and Design/Sistem Analisa dan Desain Perangkat Lunak
description: Software testing is a critical phase in the software development lifecycle to  ensure system quality and reliability. However, manual unit test writing remains  time-consuming and effort-intensive, often becoming a burden for developers. This  study aims to design and develop a Visual Studio Code extension named Unittest  Generator, integrated with artificial intelligence based on Large Language Models  (LLMs) through Groq API and OpenRouter API, to automate unit test generation  for multiple programming languages, namely Python, JavaScript, and Java. The  development process applies the Extreme Programming (XP) methodology  combined with a Research and Development (R&D) approach across two  development iterations.  The testing results in the second iteration indicate that all functional  requirements of the system have been successfully fulfilled. The quality evaluation  of the generated unit tests shows line coverage ranging from 85–92% and mutation  scores between 70–86%, indicating that the generated tests are effective in  detecting faults within the source code. Furthermore, evaluation using BLEU and  ROUGE metrics demonstrates a strong structural and semantic alignment between  the generated unit tests and reference implementations. In terms of performance,  the system achieves an average unit test generation time of 4–8 seconds, which is  significantly faster than manual test creation. Based on these results, this research  concludes that the Unittest Generator extension effectively improves testing  efficiency, quality, and developer productivity, and serves as a practical solution to  support AI adoption in modern software testing workflows.
date: 2025-12-16
type: Thesis
type: NonPeerReviewed
format: text
language: id
identifier: https://digilib.uin-suka.ac.id/id/eprint/74874/1/21106050091_BAB-I_IV-atau-V_DAFTAR-PUSTAKA.pdf
format: text
language: id
identifier: https://digilib.uin-suka.ac.id/id/eprint/74874/2/21106050091_BAB-II_sampai_SEBELUM-BAB-TERAKHIR.pdf
identifier:   Fansuri Fadel Fitrah Prakon, NIM.: 21106050091  (2025) RANCANG BANGUN EKSTENSI VISUAL STUDIO CODE (VSCODE) TERINTEGRASI AI UNTUK GENERASI UNIT TEST.  Skripsi thesis, UIN SUNAN KALIJAGA YOGYAKARTA.