Výsledky vyhľadávania - ((static OR stat) OR state) python code analysis~

A Study of Large Language Models in Detecting Python Code Violations

Autori: Hekar A. Mohammed Salih Qusay I. Sarhan

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

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

Popis súboru: 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

Prístupová URL adresa: https://doaj.org/article/a66cf05353b54e19a03b46c0b089d1fc

Evaluating Python Static Code Analysis Tools Using FAIR Principles

Autori: Hassan Bapeer Hassan Qusay Idrees Sarhan Arpad Beszedes

Zdroj: IEEE Access, Vol 12, Pp 173647-173659 (2024)

Predmety: FAIR principles, IoT, python, software quality, static code analysis, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

Popis súboru: electronic resource

Relation: https://ieeexplore.ieee.org/document/10758651/; https://doaj.org/toc/2169-3536

Prístupová URL adresa: https://doaj.org/article/e2009f2e1b79423fb89e96c292f8c36a

DEVELOPMENT OF GRAPH GENERATION TOOLS FOR PYTHON FUNCTION CODE ANALYSIS

Autori: Bayu Samodra Vebby Amelya Nora Fitra Arifiansyah a ďalší

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

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

Autori: Zhao, Wenting Abdelaziz, Ibrahim Dolby, Julian a ďalší

Témy: Computer Science - Programming Languages, Computer Science - Artificial Intelligence, text

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

Programming models to support data science workflows

Autori: Ramón-Cortés Vilarrodona, Cristián

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

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

Zdroj: TDX (Tesis Doctorals en Xarxa)

Predmety: 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

Popis súboru: application/pdf

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

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

Autori: Yi Rong Yan Zhou

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

Predmety: 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

Popis súboru: electronic resource

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

Prístupová URL adresa: https://doaj.org/article/0e8d85656442482785bc981b326c25a4

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

Autori: Rasmus Krebs Somnath Mazumdar

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

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

Popis súboru: electronic resource

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

Prístupová URL adresa: https://doaj.org/article/3faae1da4e0b47beb1e1ac9da1ee6b78

Static Analysis of Corpus of Source Codes of Python Applications.

Autori: Kapustin, D. A. Shvyrov, V. V. Shulika, T. I.

Zdroj: Programming & Computer Software. Aug2023, Vol. 49 Issue 4, p302-309. 8p.

Predmety: *SOURCE code, *PYTHONS, *PYTHON programming language, *CORPORA, *ROBBERS

Automation of Software Code Analysis Using Machine Learning Methods.

Autori: Moshkin, V. S. Dyrnochkin, A. A. Yarushkina, N. G.

Zdroj: Pattern Recognition & Image Analysis; Sep2023, Vol. 33 Issue 3, p417-424, 8p

A Static Analysis Approach for Detecting Array Shape Errors in Python.

Autori: YUNG YU ZHUANG CHIEN-WEN KAO WEI-HSIN YEN

Zdroj: Journal of Information Science & Engineering. Jan2025, Vol. 41 Issue 1, p97-119. 23p.

Predmety: Computational linguistics, Human error, Machine learning, Labor costs, Pythons, Python programming language, Deep learning

Static Analysis for AWS Best Practices in Python Code

Autori: Rajdeep Mukherjee and Omer Tripp and Ben Liblit and Michael Wilson Mukherjee, Rajdeep Tripp, Omer a ďalší

Témy: Python, Type inference, AWS, Cloud, Boto3, Best practices, Static analysis, InProceedings, Text, doc-type:ResearchArticle, publishedVersion

URL: https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.ECOOP.2022.14
Is Part Of LIPIcs, Volume 222, 36th European Conference on Object-Oriented Programming (ECOOP 2022)

Static Analysis for AWS Best Practices in Python Code

Autori: Mukherjee, Rajdeep Tripp, Omer Liblit, Ben a ďalší

Témy: Computer Science - Programming Languages, Computer Science - Formal Languages and Automata Theory, Computer Science - Logic in Computer Science, text

URL: http://arxiv.org/abs/2205.04432

TESTING THE DYNAMIC EXECUTION OF PYTHON PROGRAM CODE DURING THE CERTIFICATION TESTING (DEVELOPMENT) STAGE IN THE CERTIFICATION SYSTEM OF THE MINISTRY OF DEFENSE OF RUSSIA

Autori: V.V. Samarov

Zdroj: Надежность и качество сложных систем, Iss 2 (2023)

Predmety: certification tests of software products, dynamic code analysis of python programs, control of completeness and lack of redundancy at the level of files and functional objects, code profiling for dynamic analysis, Motor vehicles. Aeronautics. Astronautics, TL1-4050

Popis súboru: electronic resource

Relation: https://doaj.org/toc/2307-4205

Prístupová URL adresa: https://doaj.org/article/17c480a498a44ff5b1681dc8eb177136

DEVELOPMENT OF GRAPH GENERATION TOOLS FOR PYTHON FUNCTION CODE ANALYSIS

Autori: Samodra, Bayu Nora, Vebby Amelya Arifiansyah, Fitra a ďalší

Zdroj: JITK (Jurnal Ilmu Pengetahuan dan Teknologi Komputer); Vol. 10 No. 3 (2025): JITK Issue February 2025; 690-697 ; 2527-4864 ; 2685-8223 ; 10.33480/jitk.v10i3

Predmety: abstract syntax tree, control flow graph, graphviz, python, SDLC

Popis súboru: application/pdf

Relation: https://ejournal.nusamandiri.ac.id/index.php/jitk/article/view/6177/1353; https://ejournal.nusamandiri.ac.id/index.php/jitk/article/view/6177

Dostupnosť: https://ejournal.nusamandiri.ac.id/index.php/jitk/article/view/6177

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

Autori: Fachada, Nuno Fernandes, Daniel Fernandes, Carlos M. a ďalší

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

Predmety: *Experimental design, *Quantitative research, Language models, Python programming language, Generative pre-trained transformers, Benchmark problems (Computer science), Code generators

LMs: Understanding Code Syntax and Semantics for Code Analysis

Autori: Ma, Wei Liu, Shangqing Lin, Zhihao a ďalší

Témy: Computer Science - Software Engineering, Computer Science - Artificial Intelligence, text

URL: http://arxiv.org/abs/2305.12138

Towards Vulnerability Injection using Artificial Intelligence

Rumo à injeção de vulnerabilidades em Python com Inteligência Artificial

Autori: Bogaerts, Frédéric Christophe Gabriel

Predmety: 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

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

User-Centric Study and Enhancement of Python Static Code Analysers

Autori: Chen, Steven Söderberg, Emma McCabe, Alan a ďalší

Prispievatelia: Chen, Steven Söderberg, Emma McCabe, Alan a ďalší

Zdroj: Proceedings of the 34th Annual Workshop of the Psychology of Programming Interest Group PPIG: 34th Annual Meeting of the Psychology of Programming Interest Group.

Predmety: Natural Sciences, Computer and Information Sciences, Software Engineering, Naturvetenskap, Data- och informationsvetenskap (Datateknik), Programvaruteknik

Prístupová URL adresa: https://www.ppig.org/files/2023-PPIG-34th-chen.pdf

Security Flaws In Generative AI Code : Evaluating Prompt Strategies and Model Parameters in Python

Autori: Trieu Hung Tran, Elvis Diep, Erik

Témy: LLM, Temperature, Top-P, Security, Prompt Engineering, Computer and Information Sciences, Data- och informationsvetenskap, Student thesis, info:eu-repo/semantics/bachelorThesis, text

URL: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-367688
TRITA-EECS-EX ; 2025:347

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

Autori: He, Xincheng Liu, Xiaojin Xu, Lei

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

Predmety: *COMPUTER software development, *APPLICATION program interfaces, PYTHONS, PYTHON programming language, CLASSIFICATION