Suchergebnisse - (stat OR (state OR staten)) python code analysis*

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

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. 13:215-225

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

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

Regularized Maximum Likelihood Estimation for the Random Coefficients Model in Python.

Autoren: Dunker, Fabian Mendoza, Emil Reale, Marco

Quelle: Mathematics (2227-7390); Dec2025, Vol. 13 Issue 23, p3764, 29p

Schlagwörter: PYTHON programming language, MAXIMUM likelihood statistics, CONSUMPTION (Economics), MATHEMATICAL programming, MULTILEVEL models, SCIENTIFIC computing

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

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

Percolation Theory Using Python

Autoren: Malthe-Sørenssen, Anders

Schlagwörter: fractal models, critical phenomena in statistical physics, disordered systems, scaling theory, anomalous diffusion, random media textbook, Statistical physics, Condensed matter physics (liquid state and solid state physics), Cybernetics and systems theory, Engineering applications of electronic, magnetic, optical materials, Mathematical physics, Geophysics

Dateibeschreibung: application/pdf

Relation: Lecture Notes in Physics

Zugangs-URL: https://library.oapen.org/handle/20.500.12657/92326

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

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

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

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

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

Entropy, Fidelity, and Entanglement During Digitized Adiabatic Quantum Computing to Form a Greenberger–Horne–Zeilinger (GHZ) State.

Autoren: Jansen, Nathan D. Hunt, Katharine L. C.

Quelle: Entropy; Sep2025, Vol. 27 Issue 9, p891, 21p

Schlagwörter: ENTROPY, QUANTUM entanglement, STATISTICAL accuracy, HAMILTONIAN mechanics, ISING model, QUANTUM computing, QUANTUM computers

Firma/Körperschaft: INTERNATIONAL Business Machines Corp.

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

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

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

Schlagwörter: DEEP learning, COMPUTER software security, PYTHON programming language

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

A statistical approach to automated analysis of the low‐contrast object detectability test for the large ACR MRI phantom.

Autoren: Golestani, Ali M. Gee, Julia M.

Quelle: Journal of Applied Clinical Medical Physics; Jul2025, Vol. 26 Issue 7, p1-9, 9p

Schlagwörter: LINEAR statistical models, IMAGING phantoms, QUALITY control, PYTHON programming language, MAGNETIC resonance imaging

Is Quantization a Deal-Breaker? Empirical Insights From Large Code Models

Autoren: Afrin, Saima Xu, Bowen Mastropaolo, Antonio

Quelle: 2025 IEEE International Conference on Software Maintenance and Evolution (ICSME). :1-13

Schlagwörter: Software Engineering (cs.SE), FOS: Computer and information sciences, Software Engineering

Zugangs-URL: http://arxiv.org/abs/2507.09665

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

Autoren: Isha Ganguli Rajat Subhra Bhowmick Shivam Biswas et al.

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

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

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

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

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

iSTARMOD: A Python Code to Quantify Chromospheric Activity by Using the Spectral Subtraction Technique

Autoren: Labarga, Fernando Montes, David

Schlagwörter: Solar and Stellar Astrophysics, Earth and Planetary Astrophysics, Instrumentation and Methods for Astrophysics

Relation: http://arxiv.org/abs/2512.09192; The Astronomical Journal AJ 171 15 (2026)

Verfügbarkeit: http://arxiv.org/abs/2512.09192
https://doi.org/10.3847/1538-3881/ae173e

Retriv at BLP-2025 Task 2: Test-Driven Feedback-Guided Framework for Bangla-to-Python Code Generation

Autoren: Asib, K M Nafi Saha, Sourav Hoque, Mohammed Moshiul

Schlagwörter: Computation and Language

Relation: http://arxiv.org/abs/2511.07382

Verfügbarkeit: http://arxiv.org/abs/2511.07382

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