Cover Image

Harnessing the Power of LLMs: Automating Unit Test Generation for High-Performance Computing

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Karanjai, Rabimba, Hussain, Aftab, Rabin, Md Rafiqul Islam, Xu, Lei, Shi, Weidong, Alipour, Mohammad Amin
Format:	Preprint
Published:	2024
Subjects:	Software Engineering Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Measuring Impacts of Poisoning on Model Parameters and Embeddings for Large Language Models of Code
by: Hussain, Aftab, et al.
Published: (2024)

On Trojan Signatures in Large Language Models of Code
by: Hussain, Aftab, et al.
Published: (2024)

Measuring Impacts of Poisoning on Model Parameters and Neuron Activations: A Case Study of Poisoning CodeBERT
by: Hussain, Aftab, et al.
Published: (2024)

HPCAgentTester: A Multi-Agent LLM Approach for Enhanced HPC Unit Test Generation
by: Karanjai, Rabimba, et al.
Published: (2025)

Weaving the Cosmos: WASM-Powered Interchain Communication for AI Enabled Smart Contracts
by: Karanjai, Rabimba, et al.
Published: (2025)

Teaching Machines to Code: Smart Contract Translation with LLMs
by: Karanjai, Rabimba, et al.
Published: (2024)

Unlearning Trojans in Large Language Models: A Comparison Between Natural Language and Source Code
by: Kazemi, Mahdi, et al.
Published: (2024)

Capturing the Effects of Quantization on Trojans in Code LLMs
by: Hussain, Aftab, et al.
Published: (2025)

Trojans in Large Language Models of Code: A Critical Review through a Trigger-Based Taxonomy
by: Hussain, Aftab, et al.
Published: (2024)

A Survey of Trojans in Neural Models of Source Code: Taxonomy and Techniques
by: Hussain, Aftab, et al.
Published: (2023)

Generating Move Smart Contracts based on Concepts
by: Karanjai, Rabimba, et al.
Published: (2024)

Securing Smart Contract Languages with a Unified Agentic Framework for Vulnerability Repair in Solidity and Move
by: Karanjai, Rabimba, et al.
Published: (2025)

Decentralized FaaS over Multi-Clouds with Blockchain based Management for Supporting Emerging Applications
by: Karanjai, Rabimba, et al.
Published: (2024)

Collaboration is all you need: LLM Assisted Safe Code Translation
by: Karanjai, Rabimba, et al.
Published: (2025)

zkRansomware: Proof-of-Data Recoverability and Multi-round Game Theoretic Modeling of Ransomware Decisions
by: Hou, Xinyu, et al.
Published: (2026)

LogBabylon: A Unified Framework for Cross-Log File Integration and Analysis
by: Karanjai, Rabimba, et al.
Published: (2024)

Calibration and Correctness of Language Models for Code
by: Spiess, Claudio, et al.
Published: (2024)

Automated Unit Test Refactoring
by: Gao, Yi, et al.
Published: (2024)

TAM-Eval: Evaluating LLMs for Automated Unit Test Maintenance
by: Bruches, Elena, et al.
Published: (2026)

LLMs for Automated Unit Test Generation and Assessment in Java: The AgoneTest Framework
by: Lops, Andrea, et al.
Published: (2025)

PALM: Synergizing Program Analysis and LLMs to Enhance Rust Unit Test Coverage
by: Chu, Bei, et al.
Published: (2025)

Combining Type Inference and Automated Unit Test Generation for Python
by: Krodinger, Lukas, et al.
Published: (2025)

PR-Aware Automated Unit Test Generation: Challenges and Opportunities
by: Haratian, Vahid, et al.
Published: (2026)

Test Oracle Automation in the era of LLMs
by: Molina, Facundo, et al.
Published: (2024)

Breaking Barriers in Software Testing: The Power of AI-Driven Automation
by: Naqvi, Saba, et al.
Published: (2025)

ASTER: Natural and Multi-language Unit Test Generation with LLMs
by: Pan, Rangeet, et al.
Published: (2024)

Automated Unit Test Improvement using Large Language Models at Meta
by: Alshahwan, Nadia, et al.
Published: (2024)

LLMs-Powered Real-Time Fault Injection: An Approach Toward Intelligent Fault Test Cases Generation
by: Abboush, Mohammad, et al.
Published: (2025)

MUCOCO: Automated Consistency Testing of Code LLMs
by: Chou, Chua Jin, et al.
Published: (2026)

From Requirements to Test Cases: An NLP-Based Approach for High-Performance ECU Test Case Automation
by: Medeshetty, Nikitha, et al.
Published: (2025)

TestART: Improving LLM-based Unit Testing via Co-evolution of Automated Generation and Repair Iteration
by: Gu, Siqi, et al.
Published: (2024)

A First Look at the Self-Admitted Technical Debt in Test Code: Taxonomy and Detection
by: Islam, Shahidul, et al.
Published: (2025)

Automatic High-Level Test Case Generation using Large Language Models
by: Hasan, Navid Bin, et al.
Published: (2025)

Test vs Mutant: Adversarial LLM Agents for Robust Unit Test Generation
by: Chang, Pengyu, et al.
Published: (2026)

Unit Testing Past vs. Present: Examining LLMs' Impact on Defect Detection and Efficiency
by: Ramler, Rudolf, et al.
Published: (2025)

PrediQL: Automated Testing of GraphQL APIs with LLMs
by: Liu, Shaolun, et al.
Published: (2025)

LookALike: Human Mimicry based collaborative decision making
by: Karanjai, Rabimba, et al.
Published: (2024)

Real-World Fault Detection for C-Extended Python Projects with Automated Unit Test Generation
by: Berg, Lucas, et al.
Published: (2026)

SCOPE: Performance Testing for Serverless Computing
by: Wen, Jinfeng, et al.
Published: (2023)

Taming the Beast: Fully Automated Unit Testing with Coyote C++
by: Rho, Sanghoon, et al.
Published: (2024)