Výsledky vyhledávání - (java OR jan) and python source code*

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

Autoři: Yi Rong Yan Zhou

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

Témata: 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

Relation: https://doi.org/10.1007/s44443-025-00362-2; https://doaj.org/toc/1319-1578; https://doaj.org/toc/2213-1248; https://doaj.org/article/0e8d85656442482785bc981b326c25a4

Dostupnost: https://doi.org/10.1007/s44443-025-00362-2
https://doaj.org/article/0e8d85656442482785bc981b326c25a4

Git ADV: Improving Java & Python Source Code Merging using Abstract Data Structures

Autoři: Chaudhari, Nirmal Jain, Madhur Mosser, Sébastien a další

Přispěvatelé: Chaudhari, Nirmal Jain, Madhur Mosser, Sébastien a další

Témata: source code, merge, tool, software engineering

Přístupová URL adresa: http://hdl.handle.net/11375/28838

An Algorithm-Adaptive Source Code Converter to Automate the Translation from Python to Java

Autoři: Eric Jin Yu Sun

Zdroj: Computer Science and Information Technology Trends. :215-229

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

Autoři: Ahmad, Azeem Sun, Xin Naeem, Muhammad Rashid a další

Zdroj: IEEE Access. 13:54561-54584

Témata: 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

Popis souboru: electronic

Přístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-213193
https://doi.org/10.1109/ACCESS.2025.3553626

Analysing Software Quality of AI-Translated Code: A Comparative Study of Large Language Models Using Static Analysis

Autoři: Bhutani Vikram Toosi Farshad Ghassemi Buckley Jim

Zdroj: Applied Computer Systems, Vol 30, Iss 1, Pp 105-121 (2025)

Témata: artificial intelligence, chatgpt4.1, c++, deep learning, deepseek r1, java, machine learning, nmt, object oriented, programming languages translation, python, source code translation, smt, Computer software, QA76.75-76.765

Popis souboru: electronic resource

Relation: https://doaj.org/toc/2255-8691

Přístupová URL adresa: https://doaj.org/article/ac1de08d4c5c4733b3ca9004305cf826

Implementation of Gated Graph Neural Network (GGNN) on Bug Prediction in Java, Python, and C++ Programming Languages.

Autoři: Juwono, Elroy Novarino Phoa, Matthew Farrell Wijaya, Michael a další

Zdroj: Procedia Computer Science. 2025, Vol. 269, p1171-1180. 10p.

Témata: Graph neural networks, Java programming language, Python programming language, C++, Data structures, Defect tracking (Computer software development), Software failures, Machine learning

Design Pattern Prediction From Source Code Using LLM–Based Feature Engineering and SVM Classification.

Autoři: Komolov, Sirojiddin Mazzara, Manuel Bajwa, Imran Sarwar a další

Zdroj: IET Software (Wiley-Blackwell). 1/16/2026, Vol. 2026, p1-25. 25p.

Identification of Source Code Plagiarism Using a Natural Language Processing (NLP) Approach Based on Code Writing Style Analysis

Autoři: Muhammad Ilham Akbar Novita Kurnia Ningrum

Zdroj: Journal of Applied Informatics and Computing, Vol 9, Iss 6, Pp 3079-3086 (2025)

Témata: code plagiarism, codebert, siamese network, deep learning, source code plagiarism, identification, Electronic computers. Computer science, QA75.5-76.95

Popis souboru: electronic resource

Relation: https://jurnal.polibatam.ac.id/index.php/JAIC/article/view/11206; https://doaj.org/toc/2548-6861

Přístupová URL adresa: https://doaj.org/article/f40cbf64cc594c2e8ae97f26ed727c5a

GNPSum: A code summarization enhancement framework based on Graph Node Position.

Autoři: Cheng, Haogang Xu, Ling Huangfu, Luwen a další

Zdroj: Information & Software Technology. Nov2025, Vol. 187, pN.PAG-N.PAG. 1p.

Témata: JAVA programming language, PYTHON programming language, GRAPH theory, REPRESENTATIONS of graphs

Implementation of python source code comparison results with Java using bubble sort method

Autoři: Insanudin, E

Zdroj: Journal of Physics: Conference Series ; volume 1280, issue 3, page 032027 ; ISSN 1742-6588 1742-6596

Dostupnost: https://doi.org/10.1088/1742-6596/1280/3/032027
https://iopscience.iop.org/article/10.1088/1742-6596/1280/3/032027/pdf
https://iopscience.iop.org/article/10.1088/1742-6596/1280/3/032027

Software and pipelines for registration and analyses of rodent brain image data in reference atlas space.

Autoři: Puchades, Maja A. Yates, Sharon C. Csucs, Gergely a další

Zdroj: Frontiers in Neuroinformatics; 2025, p1-15, 15p

Témata: OPEN source software, DATA analysis, DATA visualization, COMPUTER software, SOFTWARE frameworks, BRAIN mapping, DATA mapping, RODENTS

Python Source Code Plagiarism Attacks in Object-Oriented Environment.

Autoři: Karnalim, Oscar Aldiansyah, Aldi

Zdroj: Computer Engineering & Applications Journal; 2017, Vol. 6 Issue 3, p87-93, 7p

Témata: PYTHON programming language, SOURCE code, PLAGIARISM, OBJECT-oriented programming, DATA structures

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

Autoři: Smit, Imelda Naudé, Eduan Zulu, Busisiwe

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

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

Comprehending C codes with LLMs: Effective comment generation through retrieval and reasoning.

Autoři: Majumdar, Srijoni Deshpande, Adwita Das, Partha Pratim a další

Zdroj: Pattern Recognition Letters. Jan2026, Vol. 199, p295-302. 8p.

Témata: *C (Computer program language), *LANGUAGE models, *EVALUATION methodology, *SOFTWARE maintenance, *ANNOTATIONS, *NATURAL language processing, *MACHINE learning

Identifier Names, Comprehension and Code Metrics: Literature Review.

Autoři: Herka, Iwo

Zdroj: Advances in Cognitive Psychology; 2025, Vol. 21 Issue 4, p445-461, 17p

Témata: COMPUTER software development, COGNITION, SCHOLARLY peer review, COMPUTER software quality control, EXPERIMENTAL design, SOFTWARE measurement

Code Plagiarism Checking Function and Its Application for Code Writing Problem in Java Programming Learning Assistant System

Autoři: Ei Ei Htet Khaing Hsu Wai Soe Thandar Aung a další

Zdroj: Analytics, Vol 3, Iss 1, Pp 46-62 (2024)

Témata: Java programming learning, JPLAS, JUnit, code writing problem, plagiarism, Levenshtein distance, Electronic computers. Computer science, QA75.5-76.95, Probabilities. Mathematical statistics, QA273-280

Popis souboru: electronic resource

Relation: https://www.mdpi.com/2813-2203/3/1/4; https://doaj.org/toc/2813-2203

Přístupová URL adresa: https://doaj.org/article/b47e83e17417408685e50766402cd511

Using ChatGPT as a Static Application Security Testing Tool.

Autoři: Bakhshandeh, Atieh Keramatfar, Abdalsamad Norouzi, Amir a další

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

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

Measurement and Development for Automated Secure Coding Solutions

Autoři: Frantz, Miles Eugene

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

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

Popis souboru: ETD; application/pdf

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

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

Autoři: Linssen, Charl Babu, Pooja N. Eppler, Jochen M. a další

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

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

A Systematic Review on Detection, Repair, and Explanation of Vulnerabilities in Source Code Using Large Language Models

Autoři: Lucas Bastos Germano Ronaldo Ribeiro Goldschmidt Ricardo Choren Noya a další

Zdroj: IEEE Access, Vol 13, Pp 192263-192293 (2025)

Témata: Large language model, systematic literature review, vulnerability detection, vulnerability repair, vulnerability explanation, vulnerability reasoning, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

Popis souboru: electronic resource

Relation: https://ieeexplore.ieee.org/document/11237115/; https://doaj.org/toc/2169-3536

Přístupová URL adresa: https://doaj.org/article/eff4d61e55144036ba2824c759654319