Suchergebnisse - "((\"Java AND python source code*\") OR (\"Java AND python resource code*\"))"

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

Context-Enriched Logging for Intelligent Code Fix Suggestions Using Large Language Models.

Autoren: Kurapati, Maheswara

Quelle: Journal of Computer Science & Technology Studies; 2025, Vol. 7 Issue 11, p15-22, 8p

Schlagwörter: METADATA, MACHINE learning, COMPUTER software, FAILURE analysis, DATA analytics, DATA logging

Multi-Label Classification of Pure Code.

Autoren: Gao, Bin Qin, Hongwu Ma, Xiuqin

Quelle: International Journal of Software Engineering & Knowledge Engineering; Oct2024, Vol. 34 Issue 10, p1641-1659, 19p

Schlagwörter: PROGRAMMING languages, SOURCE code, CLASSIFICATION, INSTITUTIONAL repositories, ENCODING

Knowledge Transfer from High-Resource to Low-Resource Programming Languages for Code LLMs

Autoren: Federico Cassano John Gouwar Francesca Lucchetti et al.

Quelle: Proceedings of the ACM on Programming Languages. 8:677-708

Schlagwörter: FOS: Computer and information sciences, Computer Science - Machine Learning, Computer Science - Programming Languages, Programming Languages (cs.PL), Machine Learning (cs.LG)

Zugangs-URL: http://arxiv.org/abs/2308.09895

A detection process to create awareness of source-code plagiarism among students using it to pass introductory programming.

Autoren: Smit, Imelda Naudé, Eduan Zulu, Busisiwe

Quelle: Independent Journal of Teaching & Learning; 2024, Vol. 19 Issue 1, p79-92, 14p

Schlagwörter: PLAGIARISM, STUDENTS, COVID-19 pandemic, PYTHON programming language, AWARENESS

Using ChatGPT as a Static Application Security Testing Tool.

Autoren: Bakhshandeh, Atieh Keramatfar, Abdalsamad Norouzi, Amir et al.

Quelle: ISeCure; Nov2023, Vol. 15 Issue 3, p1-8, 8p

Schlagwörter: CHATGPT, ARTIFICIAL intelligence, SOURCE code, PYTHON programming language, NATURAL languages

AVATAR: A Parallel Corpus for Java-Python Program Translation

Autoren: Ahmad, Wasi Uddin Tushar, Md Golam Rahman Chakraborty, Saikat et al.

Index Begriffe: Computer Science - Software Engineering, Computer Science - Computation and Language, text

URL: http://arxiv.org/abs/2108.11590

Towards a Block-Level ML-Based Python Vulnerability Detection Tool.

Autoren: Bagheri, Amirreza Hegedűs, Péter

Quelle: Acta Cybernetica; 2024, Vol. 26 Issue 3, p323-371, 49p

Schlagwörter: COMPUTER software, SOURCE code, SYSTEM failures, DEEP learning, MACHINE learning

Program Code Generation with Generative AIs.

Autoren: Idrisov, Baskhad Schlippe, Tim

Quelle: Algorithms; Feb2024, Vol. 17 Issue 2, p62, 19p

Schlagwörter: GENERATIVE artificial intelligence, TIME complexity, CHATGPT, GENERATIVE pre-trained transformers, PROBLEM solving

Cross-lingual Performance of CodeGPT on the Code Completion Task

Autoren: Kuo, Nadine (author)

Index Begriffe: Code completion, Large Language Models (LLMs), Transformers, CodeGPT, Self-attention, Autocompletion, bachelor thesis

URL: http://resolver.tudelft.nl/uuid:2b2386e8-f9a9-4d77-9a4a-a4e7a5208d38
https://github.com/AISE-TUDelft/CodeShop
https://github.com/AISE-TUDelft/CodeShop

RIOS: A Task Scheduler in Source Code for Teaching and Implementing Concurrent or Real-Time Software.

Autoren: Vahid, Frank Givargis, Tony

Quelle: Proceedings of the ASEE Annual Conference & Exposition; 2022, p1-14, 14p

Schlagwörter: SOURCE code, MICROPROCESSOR programming, REAL-time computing, EMBEDDED computer systems, COMPUTER operating systems

Automation in exam grading with Python and web hosting: data science applied to education.

Alternate Title: Automação na correção de provas com Python e hospedagem web: Ciência de dados aplicada à educação. (Portuguese)

Autoren: Cerutti, Paulo Henrique Carbonari, Luan Tiago dos Santos Junior, Carlos Zacarias Joaquim et al.

Quelle: Revista de Ciencias Agroveterinarias; 2025, Vol. 24 Issue 3, p661-680, 20p

Schlagwörter: PYTHON programming language, GRADING of students, DATA science, WEB hosting, SCIENCE education, AUTOMATION software, VETERINARY medicine education

ModelXGlue: a benchmarking framework for ML tools in MDE.

Autoren: López, José Antonio Hernández Cuadrado, Jesús Sánchez Rubei, Riccardo et al.

Quelle: Software & Systems Modeling; Aug2025, Vol. 24 Issue 4, p1035-1058, 24p

Schlagwörter: MACHINE learning, MODEL-driven software architecture, AUTOMATION software, BENCHMARKING (Management)

Semi-Supervised Code Translation Overcoming the Scarcity of Parallel Code Data

Autoren: Zhu, Ming Karim, Mohimenul Lourentzou, Ismini et al.

Index Begriffe: Article - Refereed

URL: ASE '24: Proceedings of the 39th IEEE/ACM International Conference on Automated Software Engineering

NESTML: a generic modeling language and code generation tool for the simulation of spiking neural networks with advanced plasticity rules.

Autoren: Linssen, Charl Babu, Pooja N. Eppler, Jochen M. et al.

Quelle: Frontiers in Neuroinformatics; 2025, p1-21, 21p

Schlagwörter: ARTIFICIAL neural networks, MODELING languages (Computer science), SYNAPSES, C++, SYNTAX (Grammar)

Mutation analysis for evaluating code translation

Autoren: Guizzo, G Zhang, JM Sarro, F et al.

Index Begriffe: Journal Article

URL: http://hdl.handle.net/11343/350603

Python source code plagiarism attacks on introductory programming course assignments.

Autoren: Karnalim, Oscar

Quelle: Themes in Science & Technology Education; 2017, Vol. 10 Issue 1, p17-29, 13p

Schlagwörter: PLAGIARISM -- Universities & colleges, UNDERGRADUATES, PYTHON programming language

Understanding Flaky Tests Through Linguistic Diversity: A Cross-Language and Comparative Machine Learning Study

Autoren: Ahmad, Azeem Sun, Xin Naeem, Muhammad Rashid et al.

Index Begriffe: Codes; Accuracy; Vocabulary; Java; Feature extraction; Python; Training; Reproducibility of results; Random forests; Programming; Flaky tests; non-deterministic tests; machine learning; artificial intelligence; software testing, Computer Systems, Datorsystem, Article in journal, info:eu-repo/semantics/article, text

URL: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-213193
IEEE Access, 2025, 13, s. 54561-54584

PyAMARES, an Open-Source Python Library for Fitting Magnetic Resonance Spectroscopy Data.

Autoren: Xu, Jia Vaeggemose, Michael Schulte, Rolf F. et al.

Quelle: Diagnostics (2075-4418); Dec2024, Vol. 14 Issue 23, p2668, 17p

Schlagwörter: NUCLEAR magnetic resonance spectroscopy, PYTHON programming language, MONTE Carlo method, SIGNAL-to-noise ratio, MACHINE learning

The Safety and Performance of Prominent Programming Languages.

Autoren: Bugden, William Alahmar, Ayman

Quelle: International Journal of Software Engineering & Knowledge Engineering; May2022, Vol. 32 Issue 5, p713-744, 32p

Schlagwörter: PROGRAMMING languages, PYTHON programming language, COMPUTER software industry, SOFTWARE engineering