PRIMG : Efficient LLM-driven Test Generation Using Mutant Prioritization
Fuente:
arXiv
Saved in:
| Main Authors: | Bouafif, Mohamed Salah, Hamdaqa, Mohammad, Zulkoski, Edward |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
PLMGH: What Matters in PLM-GNN Hybrids for Code Classification and Vulnerability Detection
by: Idrissi, Mohamed Taoufik Kaouthar El, et al.
Published: (2026)
by: Idrissi, Mohamed Taoufik Kaouthar El, et al.
Published: (2026)
A Context-Driven Approach for Co-Auditing Smart Contracts with The Support of GPT-4 code interpreter
by: Bouafif, Mohamed Salah, et al.
Published: (2024)
by: Bouafif, Mohamed Salah, et al.
Published: (2024)
PrAIoritize: Automated Early Prediction and Prioritization of Vulnerabilities in Smart Contracts
by: Soud, Majd, et al.
Published: (2023)
by: Soud, Majd, et al.
Published: (2023)
Toward Efficient Testing of Graph Neural Networks via Test Input Prioritization
by: Yang, Lichen, et al.
Published: (2025)
by: Yang, Lichen, et al.
Published: (2025)
Learning-Based Testing for Deep Learning: Enhancing Model Robustness with Adversarial Input Prioritization
by: Rahman, Sheikh Md Mushfiqur, et al.
Published: (2025)
by: Rahman, Sheikh Md Mushfiqur, et al.
Published: (2025)
FeedbackLLM: Metadata driven Multi-Agentic Language Agnostic Test Case Generator with Evolving prompt and Coverage Feedback
by: Jasti, Kushal, et al.
Published: (2026)
by: Jasti, Kushal, et al.
Published: (2026)
FAST: Boosting Uncertainty-based Test Prioritization Methods for Neural Networks via Feature Selection
by: Chen, Jialuo, et al.
Published: (2024)
by: Chen, Jialuo, et al.
Published: (2024)
Automating REST API Postman Test Cases Using LLM
by: Sri, S Deepika, et al.
Published: (2024)
by: Sri, S Deepika, et al.
Published: (2024)
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)
Prioritizing App Reviews for Developer Responses on Google Play
by: Jafari, Mohsen, et al.
Published: (2025)
by: Jafari, Mohsen, et al.
Published: (2025)
Clotho: Measuring Task-Specific Pre-Generation Test Adequacy for LLM Inputs
by: Yoon, Juyeon, et al.
Published: (2025)
by: Yoon, Juyeon, et al.
Published: (2025)
Diversity Drives Fairness: Ensemble of Higher Order Mutants for Intersectional Fairness of Machine Learning Software
by: Chen, Zhenpeng, et al.
Published: (2024)
by: Chen, Zhenpeng, et al.
Published: (2024)
Using Large Language Models to Generate JUnit Tests: An Empirical Study
by: Siddiq, Mohammed Latif, et al.
Published: (2023)
by: Siddiq, Mohammed Latif, et al.
Published: (2023)
Code-Aware Prompting: A study of Coverage Guided Test Generation in Regression Setting using LLM
by: Ryan, Gabriel, et al.
Published: (2024)
by: Ryan, Gabriel, et al.
Published: (2024)
Test vs Mutant: Adversarial LLM Agents for Robust Unit Test Generation
by: Chang, Pengyu, et al.
Published: (2026)
by: Chang, Pengyu, et al.
Published: (2026)
Understanding LLM-Driven Test Oracle Generation
by: Bodicoat, Adam, et al.
Published: (2026)
by: Bodicoat, Adam, et al.
Published: (2026)
Code Less, Align More: Efficient LLM Fine-tuning for Code Generation with Data Pruning
by: Tsai, Yun-Da, et al.
Published: (2024)
by: Tsai, Yun-Da, et al.
Published: (2024)
Latent Regularization in Generative Test Input Generation
by: Merabishvili, Giorgi, et al.
Published: (2026)
by: Merabishvili, Giorgi, et al.
Published: (2026)
Teaching Code Refactoring Using LLMs
by: Khairnar, Anshul, et al.
Published: (2025)
by: Khairnar, Anshul, et al.
Published: (2025)
Mutation-Guided LLM-based Test Generation at Meta
by: Foster, Christopher, et al.
Published: (2025)
by: Foster, Christopher, et al.
Published: (2025)
CWEval: Outcome-driven Evaluation on Functionality and Security of LLM Code Generation
by: Peng, Jinjun, et al.
Published: (2025)
by: Peng, Jinjun, et al.
Published: (2025)
Detecting Proxy Gaming in RL and LLM Alignment via Evaluator Stress Tests
by: Shihab, Ibne Farabi, et al.
Published: (2025)
by: Shihab, Ibne Farabi, et al.
Published: (2025)
Enhancing LLM-Based Test Generation by Eliminating Covered Code
by: Xu, WeiZhe, et al.
Published: (2026)
by: Xu, WeiZhe, et al.
Published: (2026)
LLM Performance for Code Generation on Noisy Tasks
by: Sendyka, Radzim, et al.
Published: (2025)
by: Sendyka, Radzim, et al.
Published: (2025)
Pruning the Unsurprising: Efficient LLM Reasoning via First-Token Surprisal
by: Zeng, Wenhao, et al.
Published: (2025)
by: Zeng, Wenhao, et al.
Published: (2025)
LLM-Guided Runtime Parameter Optimization for Energy-Efficient Model Inference
by: Crumpacker, Katelyn, et al.
Published: (2026)
by: Crumpacker, Katelyn, et al.
Published: (2026)
Otter: Generating Tests from Issues to Validate SWE Patches
by: Ahmed, Toufique, et al.
Published: (2025)
by: Ahmed, Toufique, et al.
Published: (2025)
HyperNet-Adaptation for Diffusion-Based Test Case Generation
by: Weißl, Oliver, et al.
Published: (2026)
by: Weißl, Oliver, et al.
Published: (2026)
PathOCL: Path-Based Prompt Augmentation for OCL Generation with GPT-4
by: Abukhalaf, Seif, et al.
Published: (2024)
by: Abukhalaf, Seif, et al.
Published: (2024)
ExplainFuzz: Explainable and Constraint-Conditioned Test Generation with Probabilistic Circuits
by: Baiget, Annaëlle, et al.
Published: (2026)
by: Baiget, Annaëlle, et al.
Published: (2026)
PrismaDV: Automated Task-Aware Data Unit Test Generation
by: Chen, Hao, et al.
Published: (2026)
by: Chen, Hao, et al.
Published: (2026)
Evaluating and Mitigating Errors in LLM-Generated Web API Integrations
by: Maninger, Daniel, et al.
Published: (2025)
by: Maninger, Daniel, et al.
Published: (2025)
Reinforcement Learning from Automatic Feedback for High-Quality Unit Test Generation
by: Steenhoek, Benjamin, et al.
Published: (2023)
by: Steenhoek, Benjamin, et al.
Published: (2023)
Reinforcement Learning from Automatic Feedback for High-Quality Unit Test Generation
by: Steenhoek, Benjamin, et al.
Published: (2024)
by: Steenhoek, Benjamin, et al.
Published: (2024)
PPO guided Agentic Pipeline for Adaptive Prompt Selection and Test Case Generation
by: Koushik, Gourisetty Venkata Sai, et al.
Published: (2026)
by: Koushik, Gourisetty Venkata Sai, et al.
Published: (2026)
TAROT: Test-driven and Capability-adaptive Curriculum Reinforcement Fine-tuning for Code Generation with Large Language Models
by: Park, Chansung, et al.
Published: (2026)
by: Park, Chansung, et al.
Published: (2026)
Dynasto: Validity-Aware Dynamic-Static Parameter Optimization for Autonomous Driving Testing
by: Humeniuk, Dmytro, et al.
Published: (2026)
by: Humeniuk, Dmytro, et al.
Published: (2026)
On Accelerating Deep Neural Network Mutation Analysis by Neuron and Mutant Clustering
by: Lyons, Lauren, et al.
Published: (2025)
by: Lyons, Lauren, et al.
Published: (2025)
Using Quality Attribute Scenarios for ML Model Test Case Generation
by: Brower-Sinning, Rachel, et al.
Published: (2024)
by: Brower-Sinning, Rachel, et al.
Published: (2024)
Code Roulette: How Prompt Variability Affects LLM Code Generation
by: Paleyes, Andrei, et al.
Published: (2025)
by: Paleyes, Andrei, et al.
Published: (2025)
Similar Items
-
PLMGH: What Matters in PLM-GNN Hybrids for Code Classification and Vulnerability Detection
by: Idrissi, Mohamed Taoufik Kaouthar El, et al.
Published: (2026) -
A Context-Driven Approach for Co-Auditing Smart Contracts with The Support of GPT-4 code interpreter
by: Bouafif, Mohamed Salah, et al.
Published: (2024) -
PrAIoritize: Automated Early Prediction and Prioritization of Vulnerabilities in Smart Contracts
by: Soud, Majd, et al.
Published: (2023) -
Toward Efficient Testing of Graph Neural Networks via Test Input Prioritization
by: Yang, Lichen, et al.
Published: (2025) -
Learning-Based Testing for Deep Learning: Enhancing Model Robustness with Adversarial Input Prioritization
by: Rahman, Sheikh Md Mushfiqur, et al.
Published: (2025)