Suchergebnisse - (( (statne OR state) python code analysis ) OR ( stavebna 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

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

Numerical Analyses of a SAW Gas Sensor in a Non-Steady State

Autoren: T. Hejczyk J. Wrotniak P. Powroźnik et al.

Quelle: International Journal of Electronics and Telecommunications, Vol vol. 71, Iss No 4 (2025)

Schlagwörter: gas sensors, numerical modeling, ingebrigtsen’s formula, dmmp, (rr)-p3ht, acoustoelectric analysis (naa), Electrical engineering. Electronics. Nuclear engineering, TK1-9971, Telecommunication, TK5101-6720

Dateibeschreibung: electronic resource

Relation: https://journals.pan.pl/Content/136909/6-5168-Hejczyk_sk.pdf; https://doaj.org/toc/2081-8491; https://doaj.org/toc/2300-1933

Zugangs-URL: https://doaj.org/article/c9d170a1144c4d9f86026066ca8dbfea

Modelling the positive and negative interaction between mood and thermal sensation in the built environment using a combined Markov Chain Monte Carlo algorithm and Morris method.

Autoren: Özbey, Mehmet Furkan Turhan, Cihan

Quelle: Building Services Engineering Research & Technology. Nov2025, Vol. 46 Issue 6, p737-752. 16p.

Schlagwörter: *MARKOV chain Monte Carlo, MOOD (Psychology), THERMAL comfort, SENSITIVITY analysis, PSYCHOLOGICAL factors, ENVIRONMENTAL psychology

Smart Compiler Assistant: An AST based Python Code Analysis

Autoren: Aneesh, Ch Saumik, Gembali Varun, Kvv et al.

Quelle: 2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT) ; page 1-6

Verfügbarkeit: https://doi.org/10.1109/icccnt61001.2024.10724220
http://xplorestaging.ieee.org/ielx8/10723818/10723316/10724220.pdf?arnumber=10724220

Programming models to support data science workflows

Autoren: Ramón-Cortés Vilarrodona, Cristián

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

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

Quelle: TDX (Tesis Doctorals en Xarxa)

Schlagwörter: 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

Dateibeschreibung: application/pdf

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

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

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

Benchmarking Large Language Models for Bio-Image Analysis Code Generation

Autoren: Robert Haase Christian Tischer Jean-Karim Hériché et al.

Multi-language dynamic taint analysis in a polyglot virtual machine

Autoren: Jacob Kreindl Daniele Bonetta Lukas Stadler et al.

Weitere Verfasser: Jacob Kreindl Daniele Bonetta Lukas Stadler et al.

Quelle: Proceedings of the 17th International Conference on Managed Programming Languages and Runtimes. :15-29

Schlagwörter: JavaScript, Cross-Language, Multi-Language, LLVM, Python, GraalVM, Native Extensions, 0202 electrical engineering, electronic engineering, information engineering, Dynamic Taint Analysis, 02 engineering and technology, Node.js

Zugangs-URL: https://epub.jku.at/obvulioa/content/titleinfo/6095392/full.pdf
https://dl.acm.org/doi/10.1145/3426182.3426184
https://epub.jku.at/obvulioa/content/titleinfo/6095392
https://epub.jku.at/obvulioa/content/titleinfo/6095392/full.pdf
https://dblp.uni-trier.de/db/conf/pppj/mplr2020.html#KreindlBSLM20
https://permalink.obvsg.at/ULI/AC16217497
https://epub.jku.at/id/6095392

Data analysis and visualization of electric vehicle engineering

Autoren: null Aditya Gaurav Gupta null Aryan Gaurav Gupta null Michelle Tashi Wongmu Bhutia

Quelle: World Journal of Advanced Research and Reviews. 25:1796-1804

PLangRec: Deep-learning model to predict the programming language from a single line of code.

Autoren: Rodriguez-Prieto, Oscar Pato, Alejandro Ortin, Francisco

Quelle: Future Generation Computer Systems. May2025, Vol. 166, pN.PAG-N.PAG. 1p.

Schlagwörter: *NATURAL language processing, *PROGRAMMING languages, DEEP learning, WEB-based user interfaces, SOURCE code

Measurement and Development for Automated Secure Coding Solutions

Autoren: Frantz, Miles Eugene

Thesis Advisors: Computer Science and#38; Applications, Yao, Danfeng, Rajagopalan, Raj, Meng, Na, Chung, Taejoong Tijay, Brown, Dwayne Christian

Schlagwörter: Large Language Models, Machine Learning, Static Code Analysis, Python, Java, Benchmark

Dateibeschreibung: ETD; application/pdf

Verfügbarkeit: https://hdl.handle.net/10919/121100

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

Rapid Development of Interferometric Software Using MIRIAD and Python

Autoren: Williams, Peter K. G. Law, Casey J. Bower, Geoffrey C.

Quelle: Publications of the Astronomical Society of the Pacific, 2012 . 124(916), 624-636.

Zugangs-URL: https://www.jstor.org/stable/10.1086/666604

NetKet 3: Machine Learning Toolbox for Many-Body Quantum Systems

Autoren: Filippo Vicentini Damian Hofmann Attila Szabó et al.

Weitere Verfasser: Filippo Vicentini Damian Hofmann Attila Szabó et al.

Quelle: SciPost Physics Codebases

Schlagwörter: FOS: Computer and information sciences, Computer Science - Machine Learning, Artificial intelligence, Polymers and Plastics, Medicine (miscellaneous), Critical Care and Intensive Care Medicine, Biochemistry, 01 natural sciences, Analytical Chemistry, Machine Learning (cs.LG), Colloid and Surface Chemistry, Endocrinology, Quantum Many-Body Systems and Entanglement Dynamics, Electrochemistry, Materials Chemistry, Quantum Physics, Nutrition and Dietetics, Python (programming language), Life Sciences, Surfaces and Interfaces, General Medicine, Computational Physics (physics.comp-ph), Atomic and Molecular Physics, and Optics, Programming language, Diabetes and Metabolism, General Energy, Notation, Physical Sciences, Toolbox, Physics - Computational Physics, Artificial neural network, 530 Physics, Materials Science, Many-Body Localization, FOS: Physical sciences, 10192 Physics Institute, Mathematical analysis, Theoretical computer science, Differentiable function, Biochemistry, Genetics and Molecular Biology, 0103 physical sciences, Internal Medicine, FOS: Mathematics, Physical and Theoretical Chemistry, Molecular Biology, Protein Structure Prediction and Analysis, Arithmetic, Accelerating Materials Innovation through Informatics, Automatic differentiation, Computer science, Anesthesiology and Pain Medicine, Physics and Astronomy, Computation, Computer Science - Mathematical Software, Quantum Physics (quant-ph), Mathematical Software (cs.MS), Mathematics

Dateibeschreibung: application/pdf; ZORA_pdf.pdf - application/pdf

Zugangs-URL: http://arxiv.org/abs/2112.10526
http://hdl.handle.net/21.11116/0000-000A-E6F9-A
http://hdl.handle.net/21.11116/0000-000A-E6FB-8
http://hdl.handle.net/21.11116/0000-000A-94B8-F
http://hdl.handle.net/21.11116/0000-000C-26A0-4

ChatGPT for Univariate Statistics: Validation of AI-Assisted Data Analysis in Healthcare Research.

Autoren: Ruta, Michael R Gaidici, Tony Irwin, Chase et al.

Quelle: Journal of Medical Internet Research. 2025, Vol. 27, p1-9. 9p.

Schlagwörter: ChatGPT, Inferential statistics, Medical care research, Statistical software, Univariate analysis, Descriptive statistics, Data analysis, Data management

Firma/Körperschaft: OpenAI Inc.

Inspect4py: a knowledge extraction framework for python code repositories

Autoren: Filgueira, Rosa Garijo, Daniel Lo, David et al.

Weitere Verfasser: Filgueira, Rosa Garijo, Daniel Lo, David et al.

Quelle: Proceedings of the 19th International Conference on Mining Software Repositories. :232-236

Schlagwörter: QA75, 0301 basic medicine, 0303 health sciences, ZA4050 Electronic information resources, Code mining, Software code, QA75 Electronic computers. Computer science, Code understanding, Software classification, NS, NIS, QA76, ZA4050, 03 medical and health sciences, QA76 Computer software, Software documentation

Dateibeschreibung: application/pdf

Zugangs-URL: https://github.com/SoftwareUnderstanding/inspect4py
https://hdl.handle.net/10023/25075

Inspect4py: A Knowledge Extraction Framework for Python Code Repositories (MSR2022 presentation)

Autoren: Filgueria, Rosa Garijo, Daniel

Schlagwörter: Code mining, code understanding, software classification, software code, software documentation

Reproducible Boolean model analyses and simulations with the CoLoMoTo software suite: a tutorial

Autoren: Vincent Noël Aurélien Naldi Laurence Calzone et al.