ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2302.06527
  4. Cited By
An Empirical Evaluation of Using Large Language Models for Automated
  Unit Test Generation

An Empirical Evaluation of Using Large Language Models for Automated Unit Test Generation

13 February 2023
Max Schäfer
Sarah Nadi
A. Eghbali
F. Tip
    LM&MA
ArXivPDFHTML

Papers citing "An Empirical Evaluation of Using Large Language Models for Automated Unit Test Generation"

16 / 16 papers shown
Title
WIP: Assessing the Effectiveness of ChatGPT in Preparatory Testing Activities
Susmita Haldar
Mary Pierce
Luiz Fernando Capretz
44
1
0
05 Mar 2025
Otter: Generating Tests from Issues to Validate SWE Patches
Toufique Ahmed
Jatin Ganhotra
Rangeet Pan
Avraham Shinnar
Saurabh Sinha
Martin Hirzel
80
0
0
07 Feb 2025
Learning to Generate Unit Tests for Automated Debugging
Learning to Generate Unit Tests for Automated Debugging
Archiki Prasad
Elias Stengel-Eskin
Justin Chih-Yao Chen
Zaid Khan
Joey Tianyi Zhou
ELM
88
1
0
03 Feb 2025
Agentic Bug Reproduction for Effective Automated Program Repair at Google
Agentic Bug Reproduction for Effective Automated Program Repair at Google
Runxiang Cheng
Michele Tufano
Jürgen Cito
J. Cambronero
Pat Rondon
Renyao Wei
Aaron Sun
S. Chandra
47
0
0
03 Feb 2025
Mutation-Guided LLM-based Test Generation at Meta
Mutation-Guided LLM-based Test Generation at Meta
Christopher Foster
Abhishek Gulati
Mark Harman
Inna Harper
Ke Mao
Jillian Ritchey
Hervé Robert
Shubho Sengupta
38
2
0
22 Jan 2025
Treefix: Enabling Execution with a Tree of Prefixes
Treefix: Enabling Execution with a Tree of Prefixes
Beatriz Souza
Michael Pradel
42
1
0
21 Jan 2025
Can LLM Generate Regression Tests for Software Commits?
Jing Liu
Seongmin Lee
Eleonora Losiouk
Marcel Böhme
41
0
0
19 Jan 2025
A Survey of Research in Large Language Models for Electronic Design Automation
A Survey of Research in Large Language Models for Electronic Design Automation
Jingyu Pan
Guanglei Zhou
Chen-Chia Chang
Isaac Jacobson
Jiang Hu
Yuxiao Chen
71
2
0
17 Jan 2025
Human-In-the-Loop Software Development Agents
Human-In-the-Loop Software Development Agents
Wannita Takerngsaksiri
Jirat Pasuksmit
Patanamon Thongtanunam
C. Tantithamthavorn
Ruixiong Zhang
Fan Jiang
Jing Li
Evan Cook
K. Chen
Ming Wu
LLMAG
106
2
0
19 Nov 2024
Evaluating the Ability of Large Language Models to Generate Verifiable Specifications in VeriFast
Evaluating the Ability of Large Language Models to Generate Verifiable Specifications in VeriFast
Marilyn Rego
Wen Fan
Xin Hu
Sanya Dod
Zhaorui Ni
Danning Xie
Jenna DiVincenzo
Lin Tan
LRM
40
1
0
04 Nov 2024
Can LLMs Replace Manual Annotation of Software Engineering Artifacts?
Can LLMs Replace Manual Annotation of Software Engineering Artifacts?
Toufique Ahmed
Premkumar Devanbu
Christoph Treude
Michael Pradel
74
11
0
10 Aug 2024
Performance-Aligned LLMs for Generating Fast Code
Performance-Aligned LLMs for Generating Fast Code
Daniel Nichols
Pranav Polasam
Harshitha Menon
Aniruddha Marathe
T. Gamblin
A. Bhatele
35
8
0
29 Apr 2024
UniTSyn: A Large-Scale Dataset Capable of Enhancing the Prowess of Large
  Language Models for Program Testing
UniTSyn: A Large-Scale Dataset Capable of Enhancing the Prowess of Large Language Models for Program Testing
Yifeng He
Jiabo Huang
Yuyang Rong
Yiwen Guo
Ethan Wang
Hao Chen
26
4
0
04 Feb 2024
The Landscape and Challenges of HPC Research and LLMs
The Landscape and Challenges of HPC Research and LLMs
Le Chen
Nesreen K. Ahmed
Akashnil Dutta
Arijit Bhattacharjee
Sixing Yu
...
Vy A. Vo
J. P. Muñoz
Ted Willke
Tim Mattson
Ali Jannesari
AI4CE
48
20
0
03 Feb 2024
LLM4DV: Using Large Language Models for Hardware Test Stimuli Generation
LLM4DV: Using Large Language Models for Hardware Test Stimuli Generation
Zixi Zhang
Greg Chadwick
Hugo McNally
Yiren Zhao
Robert D. Mullins
Jianyi Cheng
Robert Mullins
Yiren Zhao
26
19
0
06 Oct 2023
Reinforcement Learning from Automatic Feedback for High-Quality Unit Test Generation
Reinforcement Learning from Automatic Feedback for High-Quality Unit Test Generation
Benjamin Steenhoek
Michele Tufano
Neel Sundaresan
Alexey Svyatkovskiy
OffRL
ALM
52
17
0
03 Oct 2023
1