Search Results - ((static OR state) OR statni) python code analysis*

A Study of Large Language Models in Detecting Python Code Violations.

Authors: Mohammed Salih, Hekar A. Sarhan, Qusay I.

Source: ARO: The Scientific Journal of Koya University; 2025, Vol. 13 Issue 2, p215-225, 11p

Subject Terms: LANGUAGE models, QUALITY assurance, COMPUTER software quality control, NATURAL language processing

A Study of Large Language Models in Detecting Python Code Violations

Authors: Hekar A. Mohammed Salih Qusay I. Sarhan

Source: ARO-The Scientific Journal of Koya University, Vol 13, Iss 2 (2025)

Subject Terms: Large language models, Software metrics, Software quality, Static code analysis, Technology, Science

File Description: electronic resource

Relation: https://aro.koyauniversity.org/index.php/aro/article/view/2395; https://doaj.org/toc/2410-9355; https://doaj.org/toc/2307-549X

Access URL: https://doaj.org/article/a66cf05353b54e19a03b46c0b089d1fc

A Practical Guide to Static and Dynamic Econometric Modelling: Examples and Analysis with Python Code Embedded

Authors: Sarit Maitra

Source: Contributions to Economics ISBN: 9783031868610

Programming models to support data science workflows

Authors: Ramón-Cortés Vilarrodona, Cristián

Contributors: University/Department: Universitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors

Thesis Advisors: Badia Sala, Rosa M. (Rosa Maria), Ejarque Artigas, Jorge

Source: TDX (Tesis Doctorals en Xarxa)

Subject Terms: Distributed computing, High-performance computing, Data science pipelines, Task-ba workflows, Dataflows, Containers (Computer sicience), COMPSs, PyCOMPSs, AutoParallel, Docker, Àrees temàtiques de la UPC::Informàtica

File Description: application/pdf

Access URL: http://hdl.handle.net/10803/669728
https://dx.doi.org/10.5821/dissertation-2117-330142

Tailoring Static Code Analysis for Top 25 CWE in Python

Authors: Ali Shihab Mafaz Alanezi

Source: Al-Noor Journal for Information Technology and Cybersecurity. 1

Comparative Analysis of AI Models for Python Code Generation: A HumanEval Benchmark Study.

Authors: Bayram, Ali Menekse Dalveren, Gonca Gokce Derawi, Mohammad

Source: Applied Sciences (2076-3417); Sep2025, Vol. 15 Issue 18, p9907, 17p

Subject Terms: ARTIFICIAL intelligence, PYTHON programming language, COMPARATIVE studies, EVALUATION methodology, BENCHMARK problems (Computer science), GENERATIVE pre-trained transformers, MACHINE learning, COMPUTER software development

Towards Vulnerability Injection using Artificial Intelligence

Rumo à injeção de vulnerabilidades em Python com Inteligência Artificial

Authors: Bogaerts, Frédéric Christophe Gabriel

Subject Terms: Injeção de Vulnerabilidades, Redes Neurais Recorrentes, Inteligência Artificial, Deep Learning, Análise Estática de Código Python, Vulnerability Injection, Recurrent Neural Networks, Artificial Intelligence, Static Python Code Analysis

Availability: https://hdl.handle.net/10316/103014

GPT-4.1 Sets the Standard in Automated Experiment Design Using Novel Python Libraries.

Authors: Fachada, Nuno Fernandes, Daniel Fernandes, Carlos M. et al.

Source: Future Internet; Sep2025, Vol. 17 Issue 9, p412, 28p

Subject Terms: LANGUAGE models, EXPERIMENTAL design, PYTHON programming language, GENERATIVE pre-trained transformers, QUANTITATIVE research, BENCHMARK problems (Computer science), CODE generators

DEVELOPMENT OF GRAPH GENERATION TOOLS FOR PYTHON FUNCTION CODE ANALYSIS

Authors: Bayu Samodra Vebby Amelya Nora Fitra Arifiansyah et al.

Source: JITK (Jurnal Ilmu Pengetahuan dan Teknologi Komputer). 10:690-697

Security Analysis of Python Code Using Bandit: A Streamlit-Based Git Repository Scanner

Authors: Deeksha D R Prajna M R SAVITHA C K et al.

Source: International Journal of Computer Science and Mobile Computing. 14:12-14

Generative AI for Geospatial Analysis: Fine-Tuning ChatGPT to Convert Natural Language into Python-Based Geospatial Computations.

Authors: Sherman, Zachary Sharma Dulal, Sandesh Cho, Jin-Hee et al.

Source: ISPRS International Journal of Geo-Information; Aug2025, Vol. 14 Issue 8, p314, 21p

Subject Terms: GEOSPATIAL data, LANGUAGE models, PYTHON programming language, GENERATIVE artificial intelligence, GEODATABASES, CHATGPT, SMART cities

Company/Entity: OPENAI Inc.

Effect of Deep Recurrent Architectures on Code Vulnerability Detection: Performance Evaluation for SQL Injection in Python.

Authors: Slotkienė, Asta Poška, Adomas Stefanovič, Pavel et al.

Source: Electronics (2079-9292); Sep2025, Vol. 14 Issue 17, p3436, 19p

Subject Terms: DEEP learning, COMPUTER software security, PYTHON programming language

Serenity: Library Based Python Code Analysis for Code Completion and Automated Machine Learning

Authors: Zhao, Wenting Abdelaziz, Ibrahim Dolby, Julian et al.

Index Terms: Computer Science - Programming Languages, Computer Science - Artificial Intelligence, text

URL: http://arxiv.org/abs/2301.05108

Quantifying cross-language code reuse via function-level clone detection

Authors: Yi Rong Yan Zhou

Source: Journal of King Saud University: Computer and Information Sciences, Vol 37, Iss 10, Pp 1-20 (2025)

Subject Terms: Natural language processing, Code reuse detection, Function-level clone analysis, Java and python source code, Academic plagiarism detection, Electronic computers. Computer science, QA75.5-76.95

File Description: electronic resource

Relation: https://doaj.org/toc/1319-1578; https://doaj.org/toc/2213-1248

Access URL: https://doaj.org/article/0e8d85656442482785bc981b326c25a4

GPU-accelerated on-the-fly nonadiabatic semiclassical dynamics.

Authors: Myers, Christopher A. Miyazaki, Ken Trepl, Thomas et al.

Source: Journal of Chemical Physics; 8/28/2024, Vol. 161 Issue 8, p1-11, 11p

Subject Terms: ELECTRONIC structure, CONDENSED matter, EXCITED states, ACETONITRILE, PYTHON programming language

Analyzing LLM-Generated Code According to Four ISO/IEC 5055:2021 Categories

Authors: Rasmus Krebs Somnath Mazumdar

Source: IEEE Access, Vol 13, Pp 202482-202499 (2025)

Subject Terms: Analysis, ISO, LLMs, maintainability, performance, Python, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

File Description: electronic resource

Relation: https://ieeexplore.ieee.org/document/11269792/; https://doaj.org/toc/2169-3536

Access URL: https://doaj.org/article/3faae1da4e0b47beb1e1ac9da1ee6b78

RepoGraph: A Novel Semantic Code Exploration Tool for Python Repositories Based on Knowledge Graphs and Deep Learning

Authors: Williams, Christopher Filgueira, Rosa Papadopoulos, George Angelos et al.

Contributors: Williams, Christopher Filgueira, Rosa Papadopoulos, George Angelos et al.

Source: 2023 IEEE 19th International Conference on e-Science (e-Science). :1-10

Subject Terms: Knowledge graph, MCC, QA75, QA75 Electronic computers. Computer science, Function summarization, Code understanding, Static code analysis, 3rd-DAS, Transfer learning, QA76, QA76 Computer software, Code exploration, Deep learning models, Semantic code search

File Description: application/pdf

Access URL: https://hdl.handle.net/10023/28672

PyAnalyzer: An Effective and Practical Approach for Dependency Extraction from Python Code.

Authors: Jin, Wuxia Xu, Shuo Chen, Dawei et al.

Source: ICSE: International Conference on Software Engineering; 2024, p1-12, 12p

Subject Terms: PYTHON programming language, DYLAN (Computer program language), RECALL (Information retrieval), PRECISION (Information retrieval), SOFTWARE engineering

Static Analysis for AWS Best Practices in Python Code

Authors: Mukherjee, Rajdeep Tripp, Omer Liblit, Ben et al.

Contributors: Mukherjee, Rajdeep Tripp, Omer Liblit, Ben et al.

Subject Terms: FOS: Computer and information sciences, Best practices, Computer Science - Logic in Computer Science, Computer Science - Programming Languages, Formal Languages and Automata Theory (cs.FL), Boto3, Computer Science - Formal Languages and Automata Theory, 02 engineering and technology, Static analysis, Logic in Computer Science (cs.LO), AWS, 0202 electrical engineering, electronic engineering, information engineering, Type inference, ddc:004, Cloud, Python, Programming Languages (cs.PL)

File Description: application/pdf

Access URL: http://arxiv.org/abs/2205.04432
https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.ECOOP.2022.14

Python API Misuse Mining and Classification Based on Hybrid Analysis and Attention Mechanism.

Authors: He, Xincheng Liu, Xiaojin Xu, Lei

Source: International Journal of Software Engineering & Knowledge Engineering; Oct2023, Vol. 33 Issue 10, p1567-1597, 31p

Subject Terms: PYTHONS, COMPUTER software development, PYTHON programming language, CLASSIFICATION, APPLICATION program interfaces