Saved in:
| Main Authors: | Huang, Kaifeng, Yan, Yixuan, Chen, Bihuan, Tao, Zixin, Peng, Xin |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2305.05949 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
TigAug: Data Augmentation for Testing Traffic Light Detection in Autonomous Driving Systems
by: Lu, You, et al.
Published: (2025)
by: Lu, You, et al.
Published: (2025)
Killing Two Birds with One Stone: Malicious Package Detection in NPM and PyPI using a Single Model of Malicious Behavior Sequence
by: Zhang, Junan, et al.
Published: (2023)
by: Zhang, Junan, et al.
Published: (2023)
Bridging Generation and Training: A Systematic Review of Quality Issues in LLMs for Code
by: He, Kaifeng, et al.
Published: (2026)
by: He, Kaifeng, et al.
Published: (2026)
Lifting the Veil on Composition, Risks, and Mitigations of the Large Language Model Supply Chain
by: Huang, Kaifeng, et al.
Published: (2024)
by: Huang, Kaifeng, et al.
Published: (2024)
RoadGen: Generating Road Scenarios for Autonomous Vehicle Testing
by: Yang, Fan, et al.
Published: (2024)
by: Yang, Fan, et al.
Published: (2024)
DynNPC: Finding More Violations Induced by ADS in Simulation Testing through Dynamic NPC Behavior Generation
by: Lu, You, et al.
Published: (2024)
by: Lu, You, et al.
Published: (2024)
PhaseSeed: Precise Call Graph Construction for Split-Phase Applications using Dynamic Seeding
by: Palit, Tapti, et al.
Published: (2025)
by: Palit, Tapti, et al.
Published: (2025)
AutoMerge: Search-Based Model Merging Framework for Effective Model Reuse
by: Lu, You, et al.
Published: (2026)
by: Lu, You, et al.
Published: (2026)
From Component Manipulation to System Compromise: Understanding and Detecting Malicious MCP Servers
by: Huang, Yiheng, et al.
Published: (2026)
by: Huang, Yiheng, et al.
Published: (2026)
An Empirical Study of Large Language Models for Type and Call Graph Analysis in Python and JavaScript
by: Venkatesh, Ashwin Prasad Shivarpatna, et al.
Published: (2024)
by: Venkatesh, Ashwin Prasad Shivarpatna, et al.
Published: (2024)
VulWeaver: Weaving Broken Semantics for Grounded Vulnerability Detection
by: Cao, Yiheng, et al.
Published: (2026)
by: Cao, Yiheng, et al.
Published: (2026)
Seneca: Taint-Based Call Graph Construction for Java Object Deserialization
by: Santos, Joanna C. S., et al.
Published: (2023)
by: Santos, Joanna C. S., et al.
Published: (2023)
Argus: Resilience-Oriented Safety Assurance Framework for End-to-End ADSs
by: Wang, Dingji, et al.
Published: (2025)
by: Wang, Dingji, et al.
Published: (2025)
Bridging the Programming Language Gap: Constructing a Multilingual Shared Semantic Space through AST Unification and Graph Matching
by: Chen, Junhao, et al.
Published: (2026)
by: Chen, Junhao, et al.
Published: (2026)
LLMs Meet Library Evolution: Evaluating Deprecated API Usage in LLM-based Code Completion
by: Wang, Chong, et al.
Published: (2024)
by: Wang, Chong, et al.
Published: (2024)
Call Me Maybe: Enhancing JavaScript Call Graph Construction using Graph Neural Networks
by: Bhuiyan, Masudul Hasan Masud, et al.
Published: (2025)
by: Bhuiyan, Masudul Hasan Masud, et al.
Published: (2025)
Automated Functional Testing for Malleable Mobile Application Driven from User Intent
by: Wang, Yuying, et al.
Published: (2026)
by: Wang, Yuying, et al.
Published: (2026)
Vul-RAG: Enhancing LLM-based Vulnerability Detection via Knowledge-level RAG
by: Du, Xueying, et al.
Published: (2024)
by: Du, Xueying, et al.
Published: (2024)
STALL+: Boosting LLM-based Repository-level Code Completion with Static Analysis
by: Liu, Junwei, et al.
Published: (2024)
by: Liu, Junwei, et al.
Published: (2024)
Call Graph Soundness in Android Static Analysis
by: Samhi, Jordan, et al.
Published: (2024)
by: Samhi, Jordan, et al.
Published: (2024)
TIGER: A Generating-Then-Ranking Framework for Practical Python Type Inference
by: Wang, Chong, et al.
Published: (2024)
by: Wang, Chong, et al.
Published: (2024)
Typify: A Lightweight Usage-driven Static Analyzer for Precise Python Type Inference
by: Aman, Ali, et al.
Published: (2026)
by: Aman, Ali, et al.
Published: (2026)
A Preliminary Study on the Robustness of Code Generation by Large Language Models
by: Li, Zike, et al.
Published: (2025)
by: Li, Zike, et al.
Published: (2025)
Detecting Call Graph Unsoundness without Ground Truth
by: Zhong, Fangtian, et al.
Published: (2026)
by: Zhong, Fangtian, et al.
Published: (2026)
Adaptable and Precise: Enterprise-Scenario LLM Function-Calling Capability Training Pipeline
by: Zeng, Guancheng, et al.
Published: (2024)
by: Zeng, Guancheng, et al.
Published: (2024)
Static JavaScript Call Graphs: A Comparative Study
by: Antal, Gábor, et al.
Published: (2024)
by: Antal, Gábor, et al.
Published: (2024)
A Survey of Fuzzing Open-Source Operating Systems
by: Hu, Kun, et al.
Published: (2025)
by: Hu, Kun, et al.
Published: (2025)
Precision or Peril: A PoC of Python Code Quality from Quantized Large Language Models
by: Melin, Eric L., et al.
Published: (2024)
by: Melin, Eric L., et al.
Published: (2024)
Constructive Patterns for Human-Centered Tech Hiring
by: Araújo, Allysson Allex, et al.
Published: (2026)
by: Araújo, Allysson Allex, et al.
Published: (2026)
Exception-aware Lifecycle Model Construction for Framework APIs
by: Yan, Jiwei, et al.
Published: (2024)
by: Yan, Jiwei, et al.
Published: (2024)
No More Manual Tests? Evaluating and Improving ChatGPT for Unit Test Generation
by: Yuan, Zhiqiang, et al.
Published: (2023)
by: Yuan, Zhiqiang, et al.
Published: (2023)
Morphis: SLO-Aware Resource Scheduling for Microservices with Time-Varying Call Graphs
by: Tang, Yu, et al.
Published: (2026)
by: Tang, Yu, et al.
Published: (2026)
Cross-Ecosystem Vulnerability Analysis for Python Applications
by: Alexopoulos, Georgios, et al.
Published: (2026)
by: Alexopoulos, Georgios, et al.
Published: (2026)
ESBMC-Python: A Bounded Model Checker for Python Programs
by: Farias, Bruno, et al.
Published: (2024)
by: Farias, Bruno, et al.
Published: (2024)
Co-Evolution of Types and Dependencies: Towards Repository-Level Type Inference for Python Code
by: Sun, Shuo, et al.
Published: (2025)
by: Sun, Shuo, et al.
Published: (2025)
ActRef: Enhancing the Understanding of Python Code Refactoring with Action-Based Analysis
by: Wang, Siqi, et al.
Published: (2025)
by: Wang, Siqi, et al.
Published: (2025)
Efficient Code Analysis via Graph-Guided Large Language Models
by: Gao, Hang, et al.
Published: (2026)
by: Gao, Hang, et al.
Published: (2026)
Enhanced Bug Prediction in JavaScript Programs with Hybrid Call-Graph Based Invocation Metrics
by: Antal, Gábor, et al.
Published: (2024)
by: Antal, Gábor, et al.
Published: (2024)
TORAI: Multi-source Root Cause Analysis for Blind Spots in Microservice Service Call Graph
by: Pham, Luan, et al.
Published: (2026)
by: Pham, Luan, et al.
Published: (2026)
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)
Similar Items
-
TigAug: Data Augmentation for Testing Traffic Light Detection in Autonomous Driving Systems
by: Lu, You, et al.
Published: (2025) -
Killing Two Birds with One Stone: Malicious Package Detection in NPM and PyPI using a Single Model of Malicious Behavior Sequence
by: Zhang, Junan, et al.
Published: (2023) -
Bridging Generation and Training: A Systematic Review of Quality Issues in LLMs for Code
by: He, Kaifeng, et al.
Published: (2026) -
Lifting the Veil on Composition, Risks, and Mitigations of the Large Language Model Supply Chain
by: Huang, Kaifeng, et al.
Published: (2024) -
RoadGen: Generating Road Scenarios for Autonomous Vehicle Testing
by: Yang, Fan, et al.
Published: (2024)