Suchergebnisse - (skratene OR state) python code analysis*

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

Autoren: Yi Rong Yan Zhou

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

Schlagwörter: 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

Dateibeschreibung: electronic resource

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

Zugangs-URL: https://doaj.org/article/0e8d85656442482785bc981b326c25a4

A Study of Large Language Models in Detecting Python Code Violations

Autoren: Hekar A. Mohammed Salih Qusay I. Sarhan

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

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

Dateibeschreibung: 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

Zugangs-URL: https://doaj.org/article/a66cf05353b54e19a03b46c0b089d1fc

Yusuf Suresinin Anlam İlişkileri ve Hikâye Birleşenlerinin Pyhton Kodlu Matematiksel Görselleştirmelerle Tahlili. (Turkish)

Alternate Title: Analysis of the Meaning Relations and Story Components of Surah Yusuf Via Python Coded Mathematical Visualizations. (English)

Autoren: Yücel, Doğan Er, Ülkü Aysel, Metin et al.

Quelle: International Journal of Social Sciences (IJSS) / Uluslararası Sosyal Bilimler Dergisi; 2025, Vol. 9 Issue 41, p1-42, 42p

Schlagwörter: TIME series analysis, THEMATIC maps, GRAPH theory, PYTHON programming language, QUR'ANIC criticism

Empirical Auto-Evaluation of Python Code for Performance Analysis of Transformer Network Using T5 Architecture

Autoren: Shivam Biswas Jaya Sil Isha Ganguli et al.

Quelle: 2021 8th International Conference on Smart Computing and Communications (ICSCC). :75-79

Zugangs-URL: https://ieeexplore.ieee.org/document/9528123/footnotes

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

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

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

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

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

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

Schlagwörter: FOS: Computer and information sciences, Computer Science - Programming Languages, Artificial Intelligence (cs.AI), Computer Science - Artificial Intelligence, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, Programming Languages (cs.PL)

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

A Study of Large Language Models in Detecting Python Code Violations

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

Quelle: ARO-THE SCIENTIFIC JOURNAL OF KOYA UNIVERSITY; Vol. 13 No. 2 (2025): Edition Twenty Five; 215-225 ; 2307-549X ; 2410-9355

Schlagwörter: Large language models, Software metrics, Software quality, Static code analysis

Dateibeschreibung: application/pdf

Relation: https://aro.koyauniversity.org/index.php/aro/article/view/2395/499; https://aro.koyauniversity.org/index.php/aro/article/view/2395

Verfügbarkeit: https://aro.koyauniversity.org/index.php/aro/article/view/2395

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

Autoren: Rasmus Krebs Somnath Mazumdar

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

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

Dateibeschreibung: electronic resource

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

Zugangs-URL: https://doaj.org/article/3faae1da4e0b47beb1e1ac9da1ee6b78

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

Autoren: V.V. Samarov

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

Schlagwörter: 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

Dateibeschreibung: electronic resource

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

Zugangs-URL: https://doaj.org/article/17c480a498a44ff5b1681dc8eb177136

State-Space Kinetic Ising Model Code and Data for Neuronal Spiking Analysis

Autoren: ISHIHARA, KEN

Schlagwörter: State-Space Kinetic Ising Model, Neuronal Spiking, Nonequilibrium, Spike Train Analysis, Computational Neuroscience

Relation: https://zenodo.org/records/15205014; oai:zenodo.org:15205014; https://doi.org/10.5281/zenodo.15205014

Verfügbarkeit: https://doi.org/10.5281/zenodo.15205014
https://zenodo.org/records/15205014

Resolvent4py: A parallel Python package for analysis, model reduction and control of large-scale linear systems

Autoren: Padovan, Alberto Anantharaman, Vishal Rowley, Clarence W. et al.

Quelle: SoftwareX, 31, 102286, (2025-09)

Schlagwörter: Python, Parallel computing, Model reduction, Resolvent analysis, Stability analysis, Harmonic resolvent analysis

Relation: https://arxiv.org/abs/arXiv:2506.20539; https://github.com/albertopadovan/resolvent4py; https://authors.library.caltech.edu/communities/caltechauthors/; https://doi.org/10.1016/j.softx.2025.102286

Verfügbarkeit: https://doi.org/10.1016/j.softx.2025.102286

Python Code for Regression Analysis

Autoren: Anoymous Anonymous

Schlagwörter: Political science not elsewhere classified, python code provided

Relation: https://figshare.com/articles/dataset/Python_code_for_Regression_Analysis/29436020

Verfügbarkeit: https://doi.org/10.6084/m9.figshare.29436020.v2
https://figshare.com/articles/dataset/Python_code_for_Regression_Analysis/29436020

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

Autoren: Xincheng He Xiaojin Liu Lei Xu

Quelle: International Journal of Software Engineering and Knowledge Engineering. 33:1567-1597

Schlagwörter: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Verbatim Data Transcription Failures in LLM Code Generation: A State-Tracking Stress Test

Autoren: Haque, Mohd Ariful Gupta, Kishor Datta Rahman, Mohammad Ashiqur et al.

Schlagwörter: Software Engineering, Cryptography and Security

Relation: http://arxiv.org/abs/2601.03640

Verfügbarkeit: http://arxiv.org/abs/2601.03640

Efficiently accelerated bioimage analysis with NanoPyx, a Liquid Engine-powered Python framework.

Autoren: Saraiva BM Cunha I Brito AD et al.

Quelle: Nature methods [Nat Methods] 2025 Feb; Vol. 22 (2), pp. 283-286. Date of Electronic Publication: 2025 Jan 02.

Publikationsart: Journal Article

Info zur Zeitschrift: Publisher: Nature Pub. Group Country of Publication: United States NLM ID: 101215604 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1548-7105 (Electronic) Linking ISSN: 15487091 NLM ISO Abbreviation: Nat Methods Subsets: MEDLINE

MeSH-Schlagworte: Software* , Image Processing, Computer-Assisted*/methods , Microscopy*/methods, Algorithms ; Humans

Performance Analysis of ChatGPT in Erroneous Python Code Correction and Evaluation

Autoren: Ganguli, Isha Atreja, Satyam Bhasin, Sanya

Quelle: Lecture Notes in Networks and Systems ; Hybrid Intelligent Systems ; page 52-61 ; ISSN 2367-3370 2367-3389 ; ISBN 9783031789243 9783031789250

Verfügbarkeit: https://doi.org/10.1007/978-3-031-78925-0_6
https://link.springer.com/content/pdf/10.1007/978-3-031-78925-0_6

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

Autoren: Maitra, Sarit

Quelle: Contributions to Economics ; ISSN 1431-1933 2197-7178 ; ISBN 9783031868610 9783031868627

Verfügbarkeit: https://doi.org/10.1007/978-3-031-86862-7
https://link.springer.com/content/pdf/10.1007/978-3-031-86862-7.pdf
https://link.springer.com/content/pdf/10.1007/978-3-031-86862-7

Assessing code readability in Python programming courses using eye‐tracking.

Autoren: Segedinac, Milan Savić, Goran Zeljković, Ivana et al.

Quelle: Computer Applications in Engineering Education; Jan2024, Vol. 32 Issue 1, p1-16, 16p

Schlagwörter: EYE tracking, MACHINE learning, PYTHON programming language, EYE movements, UNDERGRADUATES, ENCYCLOPEDIAS & dictionaries

Geografische Kategorien: JAVA (Indonesia)

Lightweight Code Coverage Analysis for Deep Learning Framework Testing

Autoren: Senyi Li Xiong Xiao Bing Yang et al.

Evolutionary Insights from Sequence Analysis of Interleukin 17A (IL17A).

Autoren: Santos JC; Department of Biological Sciences, College of Liberal Arts and Sciences, St. John's University, Jamaica, Queens, NY, USA. santosj@stjohns.edu.

Quelle: Methods in molecular biology (Clifton, N.J.) [Methods Mol Biol] 2026; Vol. 2983, pp. 397-447.

Publikationsart: Journal Article

Info zur Zeitschrift: Publisher: Humana Press Country of Publication: United States NLM ID: 9214969 Publication Model: Print Cited Medium: Internet ISSN: 1940-6029 (Electronic) Linking ISSN: 10643745 NLM ISO Abbreviation: Methods Mol Biol Subsets: MEDLINE

MeSH-Schlagworte: Evolution, Molecular* , Interleukin-17*/genetics , Sequence Analysis, DNA*/methods , Computational Biology*/methods, Phylogeny ; Humans ; Software ; Sequence Alignment