Výsledky vyhledávání - (java OR jana) 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

Popis souboru: electronic resource

Relation: https://doaj.org/toc/1319-1578; https://doaj.org/toc/2213-1248

Přístupová URL adresa: 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

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

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

SBOM generation based on code-level external component trees.

Autoři: Kong X Zhuo H Miao X a další

Zdroj: Scientific reports [Sci Rep] 2025 Nov 24; Vol. 15 (1), pp. 45277. Date of Electronic Publication: 2025 Nov 24.

Způsob vydávání: Journal Article

Informace o časopise: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: PubMed not MEDLINE; MEDLINE

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

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

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

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

On the compressibility of large-scale source code datasets.

Autoři: Boffa, Antonio Di Cosmo, Roberto Ferragina, Paolo a další

Zdroj: Journal of Systems & Software. Sep2025, Vol. 227, pN.PAG-N.PAG. 1p.

Témata: *DATA warehousing, *STATISTICAL sampling, SOURCE code, DATA compression, COMPRESSIBILITY

Marginalizing Sample Consensus.

Autoři: Barath, Daniel Noskova, Jana Matas, Jiri

Zdroj: IEEE Transactions on Pattern Analysis & Machine Intelligence; Nov2022, Vol. 44 Issue 11, p8420-8432, 13p

Témata: SOURCE code, C++, PYTHON programming language, DECISION making, ALGORITHMS

A privacy-preserving standardized model for large-scale source code fingerprint extraction and clone detection.

Autoři: Yang, Ming Tan, Yu-an Shi, Ning a další

Zdroj: Computer Standards & Interfaces. Aug2025, Vol. 94, pN.PAG-N.PAG. 1p.

Témata: *INTELLECTUAL property infringement, *PLANT clones, *PROGRAMMING languages, *SOURCE code, *FEATURE extraction

Multi-Label Classification of Pure Code.

Autoři: Gao, Bin Qin, Hongwu Ma, Xiuqin

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

Témata: *PROGRAMMING languages, SOURCE code, CLASSIFICATION, INSTITUTIONAL repositories, ENCODING

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

Autoři: Bagheri, Amirreza Hegedűs, Péter

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

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