Cover Image

An Empirical Study of Static Analysis Tools for Secure Code Review

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Charoenwet, Wachiraphan, Thongtanunam, Patanamon, Pham, Van-Thuan, Treude, Christoph
Format:	Preprint
Published:	2024
Subjects:	Software Engineering
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Toward Effective Secure Code Reviews: An Empirical Study of Security-Related Coding Weaknesses
by: Charoenwet, Wachiraphan, et al.
Published: (2023)

Enhancing Code Review through Fuzzing and Likely Invariants
by: Charoenwet, Wachiraphan, et al.
Published: (2025)

Improving Automated Code Reviews: Learning from Experience
by: Lin, Hong Yi, et al.
Published: (2024)

Leveraging Reviewer Experience in Code Review Comment Generation
by: Lin, Hong Yi, et al.
Published: (2024)

AgenticSCR: An Autonomous Agentic Secure Code Review for Immature Vulnerabilities Detection
by: Charoenwet, Wachiraphan, et al.
Published: (2026)

HalluJudge: A Reference-Free Hallucination Detection for Context Misalignment in Code Review Automation
by: Tantithamthavorn, Kla, et al.
Published: (2026)

Encoding Version History Context for Better Code Representation
by: Nguyen, Huy, et al.
Published: (2024)

Enhancing Neural Code Representation with Additional Context
by: Nguyen, Huy, et al.
Published: (2025)

Following Dragons: Code Review-Guided Fuzzing
by: Luu, Viet Hoang, et al.
Published: (2026)

CodeReviewQA: The Code Review Comprehension Assessment for Large Language Models
by: Lin, Hong Yi, et al.
Published: (2025)

Code Ownership: The Principles, Differences, and Their Associations with Software Quality
by: Thongtanunam, Patanamon, et al.
Published: (2024)

When AI Models Become Dependencies: Studying the Evolution of Pre-Trained Model Reuse in Downstream Software Systems
by: Banyongrakkul, Peerachai, et al.
Published: (2026)

Fine-grained Approaches for Confidence Calibration of LLMs in Automated Code Revision
by: Lin, Hong Yi, et al.
Published: (2026)

From Release to Adoption: Challenges in Reusing Pre-trained AI Models for Downstream Developers
by: Banyongrakkul, Peerachai, et al.
Published: (2025)

Too Noisy To Learn: Enhancing Data Quality for Code Review Comment Generation
by: Liu, Chunhua, et al.
Published: (2025)

Open Source Software Development Tool Installation: Challenges and Strategies For Novice Developers
by: Salerno, Larissa, et al.
Published: (2024)

A Systematic Literature Review on Reasons and Approaches for Accurate Effort Estimations in Agile
by: Pasuksmit, Jirat, et al.
Published: (2024)

Enhancing Source Code Representations for Deep Learning with Static Analysis
by: Guan, Xueting, et al.
Published: (2024)

Hallucinations in Code Change to Natural Language Generation: Prevalence and Evaluation of Detection Metrics
by: Liu, Chunhua, et al.
Published: (2025)

Automatically Recommend Code Updates: Are We There Yet?
by: Liu, Yue, et al.
Published: (2022)

AI-Assisted Code Review as a Scaffold for Code Quality and Self-Regulated Learning: An Experience Report
by: Oliveira, Eduardo, et al.
Published: (2026)

Deterministic vs. Probabilistic Summarisation: An Empirical Trade-off Study in Design Pattern Centric Java Code
by: Nazar, Najam, et al.
Published: (2026)

Should Code Models Learn Pedagogically? A Preliminary Evaluation of Curriculum Learning for Real-World Software Engineering Tasks
by: Khant, Kyi Shin, et al.
Published: (2025)

Static Analysis as a Feedback Loop: Enhancing LLM-Generated Code Beyond Correctness
by: Blyth, Scott, et al.
Published: (2025)

Exploring the Potential of Large Language Models in Fine-Grained Review Comment Classification
by: Nguyen, Linh, et al.
Published: (2025)

Adversarial Attacks on Code Models with Discriminative Graph Patterns
by: Nguyen, Thanh-Dat, et al.
Published: (2023)

Issue-Oriented Agent-Based Framework for Automated Review Comment Generation
by: Li, Shuochuan, et al.
Published: (2025)

An Empirical Study of API Misuses of Data-Centric Libraries
by: Galappaththi, Akalanka, et al.
Published: (2024)

On Autopilot? An Empirical Study of Human-AI Teaming and Review Practices in Open Source
by: Gao, Haoyu, et al.
Published: (2026)

Configuring Agentic AI Coding Tools: An Exploratory Study
by: Galster, Matthias, et al.
Published: (2026)

Qualitative Data Analysis in Software Engineering: Techniques and Teaching Insights
by: Treude, Christoph
Published: (2024)

Context-Augmented Code Generation Using Programming Knowledge Graphs
by: Seddik, Shahd, et al.
Published: (2026)

Automated Code Review Assignments: An Alternative Perspective of Code Ownership on GitHub
by: Lulla, Jai Lal, et al.
Published: (2025)

A Systematic Survey on Debugging Techniques for Machine Learning Systems
by: Nguyen, Thanh-Dat, et al.
Published: (2025)

Breaking Changes in Software Ecosystems: A Systematic Literature Review
by: Chen, Juntao, et al.
Published: (2026)

Engineering Pitfalls in AI Coding Tools: An Empirical Study of Bugs in Claude Code, Codex, and Gemini CLI
by: Zhang, Ruixin, et al.
Published: (2026)

An Empirical Study on Bug Severity Estimation using Source Code Metrics and Static Analysis
by: Mashhadi, Ehsan, et al.
Published: (2022)

Accountable Agents in Software Engineering: An Analysis of Terms of Service and a Research Roadmap
by: Treude, Christoph
Published: (2026)

The Shift from Writing to Pruning Software: A Bonsai-Inspired IDE for Reshaping AI Generated Code
by: Kula, Raula Gaikovina, et al.
Published: (2025)

BGPFuzz: Automated Configuration Fuzzing of the Border Gateway Protocol
by: Zhang, Chenlu, et al.
Published: (2025)