:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Ge, Xiuting, Fang, Chunrong, Li, Xuanye, Sun, Weisong, Wu, Daoyuan, Zhai, Juan, Lin, Shangwei, Zhao, Zhihong, Liu, Yang, Chen, Zhenyu
Format:	Preprint
Published:	2023
Subjects:	Software Engineering
Online Access:	https://arxiv.org/abs/2312.00324
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Pre-trained Model-based Actionable Warning Identification: A Feasibility Study
by: Ge, Xiuting, et al.
Published: (2024)

Static Code Analyzer Recommendation via Preference Mining
by: Ge, Xiuting, et al.
Published: (2024)

CooTest: An Automated Testing Approach for V2X Communication Systems
by: Guo, An, et al.
Published: (2024)

A Critical Review of Large Language Model on Software Engineering: An Example from ChatGPT and Automated Program Repair
by: Zhang, Quanjun, et al.
Published: (2023)

Demonstration Attack against In-Context Learning for Code Intelligence
by: Ge, Yifei, et al.
Published: (2024)

Machine Translation Testing via Syntactic Tree Pruning
by: Zhang, Quanjun, et al.
Published: (2024)

A Survey on Large Language Models for Software Engineering
by: Zhang, Quanjun, et al.
Published: (2023)

Actionable Warning Is Not Enough: Recommending Valid Actionable Warnings with Weak Supervision
by: Xue, Zhipeng, et al.
Published: (2025)

GPU Temperature Simulation-Based Testing for In-Vehicle Deep Learning Frameworks
by: Zou, Yinglong, et al.
Published: (2025)

Probing Privacy Leaks in LLM-based Code Generation via Test Generation
by: Ge, Yifei, et al.
Published: (2026)

Scalpel: Automotive Deep Learning Framework Testing via Assembling Model Components
by: Zou, Yinglong, et al.
Published: (2025)

APPT: Boosting Automated Patch Correctness Prediction via Fine-tuning Pre-trained Models
by: Zhang, Quanjun, et al.
Published: (2023)

Mutation-Based Deep Learning Framework Testing Method in JavaScript Environment
by: Zou, Yinglong, et al.
Published: (2024)

Deep Learning Framework Testing via Heuristic Guidance Based on Multiple Model Measurements
by: Zou, Yinglong, et al.
Published: (2025)

A Systematic Literature Review on Large Language Models for Automated Program Repair
by: Zhang, Quanjun, et al.
Published: (2024)

Enhancing and Reporting Robustness Boundary of Neural Code Models for Intelligent Code Understanding
by: Han, Tingxu, et al.
Published: (2026)

RUM: Rule+LLM-Based Comprehensive Assessment on Testing Skills
by: Wang, Yue, et al.
Published: (2025)

Generate Realistic Test Scenes for V2X Communication Systems
by: Guo, An, et al.
Published: (2025)

Improving Deep Learning Framework Testing with Model-Level Metamorphic Testing
by: Mu, Yanzhou, et al.
Published: (2025)

SoVAR: Building Generalizable Scenarios from Accident Reports for Autonomous Driving Testing
by: Guo, An, et al.
Published: (2024)

Security of Language Models for Code: A Systematic Literature Review
by: Chen, Yuchen, et al.
Published: (2024)

Understanding LLM-Centric Challenges for Deep Learning Frameworks: An Empirical Analysis
by: Mu, Yanzhou, et al.
Published: (2025)

PuzzleMark: Implicit Jigsaw Learning for Robust Code Dataset Watermarking in Neural Code Completion Models
by: Huang, Haocheng, et al.
Published: (2026)

DevMuT: Testing Deep Learning Framework via Developer Expertise-Based Mutation
by: Mu, Yanzhou, et al.
Published: (2025)

May the Feedback Be with You! Unlocking the Power of Feedback-Driven Deep Learning Framework Fuzzing via LLMs
by: Yang, Shaoyu, et al.
Published: (2025)

Log-based, Business-aware REST API Testing
by: Yang, Ding, et al.
Published: (2026)

ACTesting: Automated Cross-modal Testing Method of Text-to-Image Software
by: Gu, Siqi, et al.
Published: (2023)

Test Script Intention Generation for Mobile Application via GUI Image and Code Understanding
by: Yu, Shengcheng, et al.
Published: (2021)

Vision-Based Mobile App GUI Testing: A Survey
by: Yu, Shengcheng, et al.
Published: (2023)

Deep Learning Framework Testing via Model Mutation: How Far Are We?
by: Mu, Yanzhou, et al.
Published: (2025)

DeCoMa: Detecting and Purifying Code Dataset Watermarks through Dual Channel Code Abstraction
by: Xiao, Yuan, et al.
Published: (2025)

Automated Static Warning Identification via Path-based Semantic Representation
by: Zhang, Yuwei, et al.
Published: (2023)

ATTest: Agent-Driven Tensor Testing for Deep Learning Library Modules
by: Zhan, Zhengyu, et al.
Published: (2026)

ComPass: Contrastive Learning for Automated Patch Correctness Assessment in Program Repair
by: Zhang, Quanjun, et al.
Published: (2026)

Effective, Platform-Independent GUI Testing via Image Embedding and Reinforcement Learning
by: Yu, Shengcheng, et al.
Published: (2022)

Peeling Off the Cocoon: Unveiling Suppressed Golden Seeds for Mutational Greybox Fuzzing
by: Qian, Ruixiang, et al.
Published: (2026)

Towards Automated Crowdsourced Testing via Personified-LLM
by: Yu, Shengcheng, et al.
Published: (2026)

TransformCode: A Contrastive Learning Framework for Code Embedding via Subtree Transformation
by: Xian, Zixiang, et al.
Published: (2023)

How Multi-Modal LLMs Reshape Visual Deep Learning Testing? A Comprehensive Study Through the Lens of Image Mutation
by: Wang, Liwen, et al.
Published: (2024)

CL4SE: Benchmarking Context Learning on Software Engineering
by: Hu, Haichuan, et al.
Published: (2026)