Static Code Analysis

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2 papers in the last four weeks, against 1 the four weeks before. 0.0% of all new papers.

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Type-IV Code Clone Detection via Layer-Wise Non-Contrastive Representation Learning
Sep 15, 2026Luciano Marchezan, Kevin Delcourt, Eugene Syriani +1Representation Learning Static Code Analysis
Universit´e de Montr´eal. Montreal, QC, Canada
Beyond Static Guarantees: Measuring the Static-Pass Dynamic-Fail Gap in Security-Sensitive and LLM-Generated Python Code
Sep 12, 2026Jessica Pourleyli, Maitreyee Das Urmi, Glaucia MeloSoftware Vulnerability Detection Software Security
Toronto Metropolitan University Toronto, Canada
Comprendia: AI-Augmented Code Comprehension
Aug 10, 2026Costain Nachuma, Minhaz F. ZibranStatic Code Analysis AI-Assisted Software Development
Department of Computer Science Idaho State University Pocatello, Idaho, USA
SkillsMetric: Mapping the Detection Boundary of Static Analysis for Malicious Agent Skills
Aug 9, 2026Xinze Chen, Chi Zhang, Ping Ji +1Static Code Analysis AI Agent Security Benchmarks
The Graduate Center, City University of New York · New York, NY, USA · Hunter College, City University of New York +2
A Unified Model for Cross-Domain Clone Detection via Model Merging
Aug 4, 2026Palash R. Roy, Banani Roy, Kevin A. Schneider +1Static Code Analysis Cross-Domain Generalization
University of Saskatchewan Computer Science Saskatoon, Canada
Agentic Planning for Symbolic Execution
Jul 31, 2026Daniel Koh Ji Yang, Yannic Noller, Corina S. Pasareanu +1Symbolic Reasoning Static Code Analysis
Mohamed bin Zayed University of Artificial Intelligence, Abu Dhabi, United Arab Emirates · Ruhr-Universität Bochum, Bochum, Germany · Carnegie Mellon University, Pittsburgh, PA, USA
Relaxed activation analysis of dataflow networks - A clock calculus for machine learning and real-time scheduling
Jul 23, 2026William Gaudelier, Albert Cohen, Dumitru Potop ButucaruReal-Time Scheduling Static Code Analysis
Inria, Paris, France · Google DeepMind, Paris, France
Generative Compilation: On-the-Fly Compiler Feedback as AI Generates Code
Jul 15, 2026Niels Mündler-Sasahara, Hristo Venev, Dawn Song +2Code Generation Static Code Analysis
ETH Zurich, Switzerland · INSAIT and Sofia University “St. Kliment Ohridski”, Bulgaria · University of California, Berkeley, USA
AutoTrace: From Patches to Triggers via Agentic Interprocedural Exploration
Jul 13, 2026Arastoo Zibaeirad, Marco Vieira, Thomas ZimmermannSoftware Vulnerability Detection Static Code Analysis
University of North Carolina at Charlotte · Charlotte, NC, USA · University of California, Irvine +1
Mitigating LLM Sycophancy in Code Smell Detection Using Evidence-Guided Reasoning Prompts
Jul 11, 2026Istiaq Ahmed Fahad, Kamruzzaman Asif, Md. Nurul Ahad TawhidLLM Sycophancy Static Code Analysis
Institute of Information Technology · University of Dhaka · Dhaka, Bangladesh
The Patchwork Problem in LLM-Generated Code
Jul 9, 2026Viraaji Mothukuri, Reza M. PariziStatic Code Analysis LLM Reliability
Decentralized Science Lab, College of Computing and Software Engineering Kennesaw State University, GA, USA
Static Metrics Are Insufficient: Predicting Java Method Energy Usage with Execution Time
Jul 7, 2026Muhammad Imran, Vincenzo Stoico, Ivano MalavoltaSoftware Engineering Static Code Analysis
University of L’Aquila, L’Aquila, Italy · Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
Rethinking Complexity Metrics for LLM-Integrated Applications: Beyond Source Code
Jul 2, 2026Zihao Xu, Yuekang Li, Gelei Deng +2Software Engineering Static Code Analysis
University of New South Wales, Australia · Nanyang Technological University, Singapore · Griffith University, Australia +2
Benchmarking Large Language Models on Floating-Point Error Classification
Jun 30, 2026Lisa Taldir, Muhammad Ahmad Saeed, David Defour +2LLM Evaluation Static Code Analysis
LI-PaRAD · Université de Perpignan via Domitia, Perpignan, France · Université Paris-Saclay, UVSQ, France +1
Reinforcement Learning for Software Vulnerability Analysis: A Systematic Review with Emphasis on C/C++ Source Code and Static Analysis
Jun 24, 2026Bruno Caro-Vásquez, Carola Figueroa-Flores, Gastón MarquezReinforcement Learning Software Vulnerability Detection
Master’s Student in Computer Science, Universidad del Bío-Bío, Chile · Department of Computer Science and Information Technology, Universidad del Bío-Bío, Chile
Local LLM Agents as Vulnerable Runtimes:A Source-Code Audit of the Agent Runtime Layer
Jun 19, 2026Zhengsong Zhang, Zongze Li, Jiawei Guo +1AI Agent Auditing Software Vulnerability Detection
Department of Computer Science and Engineering University at Buffalo, SUNY
OpenAnt: LLM-Powered Vulnerability Discovery Through Code Decomposition, Adversarial Verification, and Dynamic Testing
Jun 17, 2026Nahum Korda, Gadi EvronSoftware Vulnerability Detection Static Code Analysis
Knostic
Snyk VulnBench JS 1.0: Can LLMs Find the Same Bugs Twice?
Jun 14, 2026Liran Tal, Johannes Kloos, Arsenii Rudich +2Software Vulnerability Detection Static Code Analysis
Snyk
Data-aware Static Analysis: Improving Detection of Semantic Faults in Machine Learning Code Using Data Characteristics
Jun 8, 2026Willem Meijer, Kristian Sandahl, Dániel VarróFault Detection Static Code Analysis
Linköping University, Linköping, Sweden
MOLOT System Card: Malicious Operational Logic Observation Transformer
Jun 5, 2026Daniil Lopatkin, Maksim Mitrofanov, Stanislav Rakovsky +1Static Code Analysis Malware Classification
Data Science & ML Dept. Positive Technologies False Positive Community
LLM Code Smells: A Taxonomy and Detection Approach
May 21, 2026Zacharie Chenail-Larcher, Brahim Mahmoudi, Naouel Moha +2Static Code Analysis
Ecole de technologie sup´erieure, Montr´eal, Qu´ebec, Canada. · Universit´e du Qu´ebec `a Montr´eal, Montr´eal, Qu´ebec, Canada.
Beyond Execution: Static-Analysis Rewards and Hint-Conditioned Diffusion RL for Code Generation
May 16, 2026Shuyin Ouyang, Zhaozhi Qian, Faroq AL-Tam +2RL for Code Generation Diffusion Guidance
King’s College London · Elm Europe
Detecting Privilege Escalation in Polyglot Microservices via Agentic Program Analysis
May 15, 2026Penghui Li, Hong Yau Chong, Yinzhi Cao +1Software Vulnerability Detection Software Security
Columbia University · Johns Hopkins University
Hydra: Efficient, Correct Code Generation via Checkpoint-and-Rollback Support
May 14, 2026Alexander Du, Jianjun Ou, Danyang Zhuo +1Automated Program Repair Code Generation
Duke University Durham, NC, USA
Agentic Interpretation: Lattice-Structured Evidence for LLM-Based Program Analysis
May 12, 2026Jacqueline L. Mitchell, Chao WangStatic Code Analysis
University of Southern California, Los Angeles, California, USA
Benchmarking LLM-Based Static Analysis for Secure Smart Contract Development: Reliability, Limitations, and Potential Hybrid Solutions
May 11, 2026Stefan-Claudiu Susan, Andrei Arusoaie, Dorel LucanuLLM Evaluation Software Vulnerability Detection
Department of Computer Science Alexandru Ioan Cuza University of Ias,i Ias,i, Romania
VulTriage: Triple-Path Context Augmentation for LLM-Based Vulnerability Detection
May 10, 2026Wenxin Tang, Xiang Zhang, Junliang Liu +11Software Vulnerability Detection Static Code Analysis
Tsinghua University · Henan University · Dalian Maritime University +8
CHAINTRIX: A multi-pipeline LLM-augmented framework for automated smart-contract security auditing
May 10, 2026Gabriela Dobrita, Simona-Vasilica Oprea, Adela BaraLLM Auditing Software Vulnerability Detection
Bucharest University of Economic Studies, Department of Economic Informatics and Cybernetics, no.6 Piața Romană, Bucharest, 010374, Romania
ARISE: A Repository-level Graph Representation and Toolset for Agentic Program Repair and Fault Localization
May 4, 2026Shahd Seddik, Fahd Seddik, Amirrezza Esmaeili +2Automated Program Repair Static Code Analysis
FARD Lab, University of British Columbia, Kelowna, Canada
Semia: Auditing Agent Skills via Constraint-Guided Representation Synthesis
May 1, 2026Hongbo Wen, Ying Li, Hanzhi Liu +4AI Agent Auditing Static Code Analysis
University of California, Santa Barbara Santa Barbara, CA, USA · University of California, Los Angeles Los Angeles, CA, USA · Fuzzland USA +1

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Type-IV Code Clone Detection via Layer-Wise Non-Contrastive Representation Learning

Luciano Marchezan, Kevin Delcourt, Eugene Syriani, Houari Sahraoui

Universit´e de Montr´eal. Montreal, QC, Canada

Representation Learning Static Code Analysis Invariant Representation Learning

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Software clones are fragments of code that are similar or functionally equivalent to each other. They pose significant challenges for maintenance, refactoring, and bug detection. Detecting Type-IV clones, which are semantically equivalent but may differ syntactically, is particularly difficult for traditional token- or syntax-based methods. Recent machine learning approaches rely on contrastive learning, which requires careful negative sampling and can introduce bias. In this paper, we propose LWVIC4Code, a non-contrastive representation learning approach specifically designed for Type-IV clone detection. Building on the Variance-Invariance-Covariance Regularization (VICReg) framework and prior layer-wise VICReg training, LWVIC4Code introduces cross-layer consistency regularization and depth-dependent layer weighting to progressively refine semantic information across transformer layers, producing robust and discriminative code representations. We conduct an empirical study comparing LWVIC4Code against a contrastive learning baseline and zero-shot large language models on Python (Kamino) and multi-language (GPTCloneBench) datasets. Results show that LWVIC4Code achieves competitive or superior performance without negative samples, benefits from layer-wise supervision, and generalizes effectively from Python to other languages, particularly Java and C#. These results demonstrate that non-contrastive, layer-wise representation learning is a promising direction for robust semantic code clone detection.

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