:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Tang, Xunzhu, Olatunji, Iyiola Emmanuel, Sun, Tiezhu, Klein, Jacques, Bissyande, Tegawende F.
Format:	Preprint
Published:	2025
Subjects:	Software Engineering Artificial Intelligence
Online Access:	https://arxiv.org/abs/2509.25243
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Boosting Open-Source LLMs for Program Repair via Reasoning Transfer and LLM-Guided Reinforcement Learning
by: Tang, Xunzhu, et al.
Published: (2025)

Correctness isnt Efficiency: Runtime Memory Divergence in LLM-Generated Code
by: Rajput, Prateek, et al.
Published: (2026)

Measuring LLM Code Generation Stability via Structural Entropy
by: Song, Yewei, et al.
Published: (2025)

How Secure is Secure Code Generation? Adversarial Prompts Put LLM Defenses to the Test
by: Tessa, Melissa, et al.
Published: (2026)

DetectBERT: Towards Full App-Level Representation Learning to Detect Android Malware
by: Sun, Tiezhu, et al.
Published: (2024)

In-Context Code-Text Learning for Bimodal Software Engineering
by: Tang, Xunzhu, et al.
Published: (2024)

Dynamic Stability of LLM-Generated Code
by: Rajput, Prateek, et al.
Published: (2025)

An Empirical Study of AI Techniques in Mobile Applications
by: Li, Yinghua, et al.
Published: (2022)

The Code Barrier: What LLMs Actually Understand?
by: Nikiema, Serge Lionel, et al.
Published: (2025)

The Struggles of LLMs in Cross-lingual Code Clone Detection
by: Moumoula, Micheline Bénédicte, et al.
Published: (2024)

MalLoc: Toward Fine-grained Android Malicious Payload Localization via LLMs
by: Sun, Tiezhu, et al.
Published: (2025)

SIEVE: Towards Verifiable Certification for Code-datasets
by: Mbodji, Fatou Ndiaye, et al.
Published: (2025)

Characterizing Build Compromises Through Vulnerability Disclosure Analysis
by: Diao, Maimouna Tamah, et al.
Published: (2025)

Patch-CLIP: A Patch-Text Pre-Trained Model
by: Tang, Xunzhu, et al.
Published: (2023)

CodeAgent: Autonomous Communicative Agents for Code Review
by: Tang, Xunzhu, et al.
Published: (2024)

AndroLibZoo: A Reliable Dataset of Libraries Based on Software Dependency Analysis
by: Samhi, Jordan, et al.
Published: (2023)

From Rookie to Expert: Manipulating LLMs for Automated Vulnerability Exploitation in Enterprise Software
by: Diouf, Moustapha Awwalou, et al.
Published: (2025)

Security smells in infrastructure as code: a taxonomy update beyond the seven sins
by: War, Aicha, et al.
Published: (2025)

Test smells in LLM-Generated Unit Tests
by: Ouédraogo, Wendkûuni C., et al.
Published: (2024)

Open-Source AI-based SE Tools: Opportunities and Challenges of Collaborative Software Learning
by: Lin, Zhihao, et al.
Published: (2024)

MT4DP: Data Poisoning Attack Detection for DL-based Code Search Models via Metamorphic Testing
by: Chen, Gong, et al.
Published: (2025)

Detection of security smells in IaC scripts through semantics-aware code and language processing
by: War, Aicha, et al.
Published: (2025)

Revisiting Code Similarity Evaluation with Abstract Syntax Tree Edit Distance
by: Song, Yewei, et al.
Published: (2024)

Enhancing Text-to-SQL Translation for Financial System Design
by: Song, Yewei, et al.
Published: (2023)

Learned or Memorized ? Quantifying Memorization Advantage in Code LLMs
by: Euraste, Djiré Albérick, et al.
Published: (2026)

Evaluating Large Language Models in detecting Secrets in Android Apps
by: Alecci, Marco, et al.
Published: (2025)

CallNavi, A Challenge and Empirical Study on LLM Function Calling and Routing
by: Song, Yewei, et al.
Published: (2025)

BoostAPR: Boosting Automated Program Repair via Execution-Grounded Reinforcement Learning with Dual Reward Models
by: Li, Yuanhao, et al.
Published: (2026)

Programming Language Confusion: When Code LLMs Can't Keep their Languages Straight
by: Moumoula, Micheline Bénédicte, et al.
Published: (2025)

Beyond Language Barriers: Multi-Agent Coordination for Multi-Language Code Generation
by: Moumoula, Micheline Bénédicte, et al.
Published: (2025)

Software Security in Software-Defined Networking: A Systematic Literature Review
by: Diouf, Moustapha Awwalou, et al.
Published: (2025)

Call Graph Soundness in Android Static Analysis
by: Samhi, Jordan, et al.
Published: (2024)

MORepair: Teaching LLMs to Repair Code via Multi-Objective Fine-tuning
by: Yang, Boyang, et al.
Published: (2024)

Enriching Automatic Test Case Generation by Extracting Relevant Test Inputs from Bug Reports
by: Ouédraogo, Wendkûuni C., et al.
Published: (2023)

EfficientUICoder: Efficient MLLM-based UI Code Generation via Input and Output Token Compression
by: Xiao, Jingyu, et al.
Published: (2025)

Process-Supervised Reinforcement Learning for Code Generation
by: Ye, Yufan, et al.
Published: (2025)

Human-Aligned Code Readability Assessment with Large Language Models
by: Ouédraogo, Wendkûuni C., et al.
Published: (2025)

Schedule-and-Calibrate: Utility-Guided Multi-Task Reinforcement Learning for Code LLMs
by: Chen, Yujia, et al.
Published: (2026)

Klear-CodeTest: Scalable Test Case Generation for Code Reinforcement Learning
by: Fu, Jia, et al.
Published: (2025)

Unlocking LLM Repair Capabilities Through Cross-Language Translation and Multi-Agent Refinement
by: Luo, Wenqiang, et al.
Published: (2025)