Using Large Language Models to Generate JUnit Tests: An Empirical Study

Using Large Language Models to Generate JUnit Tests: An Empirical Study

30 April 2023

Mohammed Latif Siddiq

Joanna C. S. Santos

Ridwanul Hasan Tanvir

Fahmid Al Rifat

Vinicius Carvalho Lopes

Papers citing "Using Large Language Models to Generate JUnit Tests: An Empirical Study"

5 / 5 papers shown

Title
Do LLMs Consider Security? An Empirical Study on Responses to Programming Questions Amirali Sajadi Binh Le A. Nguyen Kostadin Damevski Preetha Chatterjee 53 2 0 20 Feb 2025
SURGE: On the Potential of Large Language Models as General-Purpose Surrogate Code Executors Bohan Lyu Siqiao Huang Zichen Liang Qi-An Sun Jiaming Zhang ELM LRM 47 0 0 16 Feb 2025
Multi-lingual Evaluation of Code Generation Models Ben Athiwaratkun Sanjay Krishna Gouda Zijian Wang Xiaopeng Li Yuchen Tian ... Baishakhi Ray Parminder Bhatia Sudipta Sengupta Dan Roth Bing Xiang ELM 109 117 0 26 Oct 2022
Productivity Assessment of Neural Code Completion Albert Ziegler Eirini Kalliamvakou Shawn Simister Ganesh Sittampalam Alice Li Andrew Rice Devon Rifkin E. Aftandilian 102 176 0 13 May 2022
CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation Yue Wang Weishi Wang Shafiq R. Joty S. Hoi 204 1,451 0 02 Sep 2021