Mutation-Guided LLM-based Test Generation at Meta
Fuente:
arXiv
Saved in:
| Main Authors: | Foster, Christopher, Gulati, Abhishek, Harman, Mark, Harper, Inna, Mao, Ke, Ritchey, Jillian, Robert, Hervé, Sengupta, Shubho |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Assured LLM-Based Software Engineering
by: Alshahwan, Nadia, et al.
Published: (2024)
by: Alshahwan, Nadia, et al.
Published: (2024)
Automated Unit Test Improvement using Large Language Models at Meta
by: Alshahwan, Nadia, et al.
Published: (2024)
by: Alshahwan, Nadia, et al.
Published: (2024)
Harden and Catch for Just-in-Time Assured LLM-Based Software Testing: Open Research Challenges
by: Harman, Mark, et al.
Published: (2025)
by: Harman, Mark, et al.
Published: (2025)
Just-in-Time Catching Test Generation at Meta
by: Becker, Matthew, et al.
Published: (2026)
by: Becker, Matthew, et al.
Published: (2026)
Enhancing Testing at Meta with Rich-State Simulated Populations
by: Alshahwan, Nadia, et al.
Published: (2024)
by: Alshahwan, Nadia, et al.
Published: (2024)
YATE: The Role of Test Repair in LLM-Based Unit Test Generation
by: Konstantinou, Michael, et al.
Published: (2025)
by: Konstantinou, Michael, et al.
Published: (2025)
Boosting LLMs for Mutation Generation
by: Wang, Bo, et al.
Published: (2026)
by: Wang, Bo, et al.
Published: (2026)
Observation-based unit test generation at Meta
by: Alshahwan, Nadia, et al.
Published: (2024)
by: Alshahwan, Nadia, et al.
Published: (2024)
Mutation-Guided Unit Test Generation with a Large Language Model
by: Wang, Guancheng, et al.
Published: (2025)
by: Wang, Guancheng, et al.
Published: (2025)
A Comprehensive Study on Large Language Models for Mutation Testing
by: Wang, Bo, et al.
Published: (2024)
by: Wang, Bo, et al.
Published: (2024)
Generative AI for Testing of Autonomous Driving Systems: A Survey
by: Song, Qunying, et al.
Published: (2025)
by: Song, Qunying, et al.
Published: (2025)
Measuring the Influence of Incorrect Code on Test Generation
by: Huang, Dong, et al.
Published: (2024)
by: Huang, Dong, et al.
Published: (2024)
MioHint: LLM-assisted Mutation for Whitebox API Testing
by: Li, Jia, et al.
Published: (2025)
by: Li, Jia, et al.
Published: (2025)
Fairness Testing: A Comprehensive Survey and Analysis of Trends
by: Chen, Zhenpeng, et al.
Published: (2022)
by: Chen, Zhenpeng, et al.
Published: (2022)
LLM-Powered Test Case Generation for Detecting Bugs in Plausible Programs
by: Liu, Kaibo, et al.
Published: (2024)
by: Liu, Kaibo, et al.
Published: (2024)
Are Benchmark Tests Strong Enough? Mutation-Guided Diagnosis and Augmentation of Regression Suites
by: Li, Chenglin, et al.
Published: (2026)
by: Li, Chenglin, et al.
Published: (2026)
An Empirical Study of the Non-determinism of ChatGPT in Code Generation
by: Ouyang, Shuyin, et al.
Published: (2023)
by: Ouyang, Shuyin, et al.
Published: (2023)
Scenario-Guided LLM-based Mobile App GUI Testing
by: Yu, Shengcheng, et al.
Published: (2025)
by: Yu, Shengcheng, et al.
Published: (2025)
Towards Multi-Platform Mutation Testing of Task-based Chatbots
by: Clerissi, Diego, et al.
Published: (2025)
by: Clerissi, Diego, et al.
Published: (2025)
MuMuTestUp: Mutation-based Multi-Agent Test Case Update
by: Tian, Dawei, et al.
Published: (2026)
by: Tian, Dawei, et al.
Published: (2026)
Quantum-Guided Test Case Minimization for LLM-Based Code Generation
by: Zhang, Huixiang, et al.
Published: (2025)
by: Zhang, Huixiang, et al.
Published: (2025)
Leveraging Mutation Analysis for LLM-based Repair of Quantum Programs
by: Yoshida, Chihiro, et al.
Published: (2026)
by: Yoshida, Chihiro, et al.
Published: (2026)
Using Causal Inference to Test Systems with Hidden and Interacting Variables: An Evaluative Case Study
by: Foster, Michael, et al.
Published: (2025)
by: Foster, Michael, et al.
Published: (2025)
Benchmarking LLMs for Unit Test Generation from Real-World Functions
by: Huang, Dong, et al.
Published: (2025)
by: Huang, Dong, et al.
Published: (2025)
Fuzzing-based Mutation Testing of C/C++ Software in Cyber-Physical Systems
by: Lee, Jaekwon, et al.
Published: (2025)
by: Lee, Jaekwon, et al.
Published: (2025)
MOTIF: A tool for Mutation Testing with Fuzzing
by: Lee, Jaekwon, et al.
Published: (2024)
by: Lee, Jaekwon, et al.
Published: (2024)
Hybrid Fault-Driven Mutation Testing for Python
by: Alimadadi, Saba, et al.
Published: (2026)
by: Alimadadi, Saba, et al.
Published: (2026)
Simulink Mutation Testing using CodeBERT
by: Zhang, Jingfan, et al.
Published: (2025)
by: Zhang, Jingfan, et al.
Published: (2025)
HotBugs.jar: A Benchmark of Hot Fixes for Time-Critical Bugs
by: Hanna, Carol, et al.
Published: (2025)
by: Hanna, Carol, et al.
Published: (2025)
LLM-based Unit Test Generation via Property Retrieval
by: Zhang, Zhe, et al.
Published: (2024)
by: Zhang, Zhe, et al.
Published: (2024)
KTester: Leveraging Domain and Testing Knowledge for More Effective LLM-based Test Generation
by: Li, Anji, et al.
Published: (2025)
by: Li, Anji, et al.
Published: (2025)
LLM-based Property-based Test Generation for Guardrailing Cyber-Physical Systems
by: Etemadi, Khashayar, et al.
Published: (2025)
by: Etemadi, Khashayar, et al.
Published: (2025)
Test smells in LLM-Generated Unit Tests
by: Ouédraogo, Wendkûuni C., et al.
Published: (2024)
by: Ouédraogo, Wendkûuni C., et al.
Published: (2024)
You Can REST Now: Automated REST API Documentation and Testing via LLM-Assisted Request Mutations
by: Decrop, Alix, et al.
Published: (2024)
by: Decrop, Alix, et al.
Published: (2024)
LLMorpheus: Mutation Testing using Large Language Models
by: Tip, Frank, et al.
Published: (2024)
by: Tip, Frank, et al.
Published: (2024)
Type-aware LLM-based Regression Test Generation for Python Programs
by: Liu, Runlin, et al.
Published: (2025)
by: Liu, Runlin, et al.
Published: (2025)
Teaching Loop Testing to Young Learners with the Code Critters Mutation Testing Game
by: Straubinger, Philipp, et al.
Published: (2025)
by: Straubinger, Philipp, et al.
Published: (2025)
muPRL: A Mutation Testing Pipeline for Deep Reinforcement Learning based on Real Faults
by: Thomas, Deepak-George, et al.
Published: (2024)
by: Thomas, Deepak-George, et al.
Published: (2024)
A Large-Scale Study of Call Graph-based Impact Prediction using Mutation Testing
by: Musco, Vincenzo, et al.
Published: (2018)
by: Musco, Vincenzo, et al.
Published: (2018)
Bounding Random Test Set Size with Computational Learning Theory
by: Walkinshaw, Neil, et al.
Published: (2024)
by: Walkinshaw, Neil, et al.
Published: (2024)
Similar Items
-
Assured LLM-Based Software Engineering
by: Alshahwan, Nadia, et al.
Published: (2024) -
Automated Unit Test Improvement using Large Language Models at Meta
by: Alshahwan, Nadia, et al.
Published: (2024) -
Harden and Catch for Just-in-Time Assured LLM-Based Software Testing: Open Research Challenges
by: Harman, Mark, et al.
Published: (2025) -
Just-in-Time Catching Test Generation at Meta
by: Becker, Matthew, et al.
Published: (2026) -
Enhancing Testing at Meta with Rich-State Simulated Populations
by: Alshahwan, Nadia, et al.
Published: (2024)