Search Results - (state OR sateen) python code analysis*

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

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. 13:215-225

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: *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

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

Smart Compiler Assistant: An AST based Python Code Analysis

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

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

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

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

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; Vol. 13 No. 2 (2025): Edition Twenty Five; 215-225 ; 2307-549X ; 2410-9355

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

File Description: application/pdf

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

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

Percolation Theory Using Python

Authors: Malthe-Sørenssen, Anders

Subject Terms: 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

File Description: application/pdf

Relation: Lecture Notes in Physics

Access URL: https://library.oapen.org/handle/20.500.12657/92326

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

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

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

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

Authors: V.V. Samarov

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

Subject Terms: 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

File Description: electronic resource

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

Access URL: https://doaj.org/article/17c480a498a44ff5b1681dc8eb177136

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

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

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

Subject Terms: *Data analysis, *Data management, ChatGPT, Inferential statistics, Medical care research, Statistical software, Univariate analysis, Descriptive statistics

Company/Entity: OpenAI Inc.

CLAVE: A deep learning model for source code authorship verification with contrastive learning and transformer encoders.

Authors: Álvarez-Fidalgo, David Ortin, Francisco

Source: Information Processing & Management. May2025, Vol. 62 Issue 3, pN.PAG-N.PAG. 1p.

Subject Terms: *Transformer models, Language models, Source code, Dispute resolution, Python programming language

PySVAE: “A Simple Python code for soil Vibration Analysis for Earthquake Engineering.”

Authors: Caballero, Cristhian Moreno, Bruno Rodriguez, Stephania et al.

Contributors: Caballero, Cristhian Moreno, Bruno Rodriguez, Stephania et al.

Source: 2022 8th International Engineering, Sciences and Technology Conference (IESTEC) ; page 162-169

Availability: https://doi.org/10.1109/iestec54539.2022.00032
http://xplorestaging.ieee.org/ielx7/10040724/10040725/10040831.pdf?arnumber=10040831

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

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

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

Source: Future Internet, Vol 17, Iss 9, p 412 (2025)

Subject Terms: large language models, code generation, Python libraries, Information technology, T58.5-58.64

File Description: electronic resource

Relation: https://www.mdpi.com/1999-5903/17/9/412; https://doaj.org/toc/1999-5903

Access URL: https://doaj.org/article/0b7290b02eba46929e6de40288c33a7e

A Comparison of the Effectiveness of ChatGPT and Co-Pilot for Generating Quality Python Code Solutions

Authors: Nikolaidis, Nikolaos Flamos, Karolos Gulati, Khanak et al.

Source: 2024 IEEE International Conference on Software Analysis, Evolution and Reengineering - Companion (SANER-C) ; page 93-101

Availability: https://doi.org/10.1109/saner-c62648.2024.00018
http://xplorestaging.ieee.org/ielx8/10621660/10621681/10621717.pdf?arnumber=10621717

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

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

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

Subject Terms: Software Engineering, Cryptography and Security

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

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

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

Inspect4py: a knowledge extraction framework for python code repositories

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

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

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

Subject Terms: 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

File Description: application/pdf

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