Výsledky vyhledávání - (java OR (jana OR jan)) AND python (source OR resource) 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

Base, Instruct, and Fine-Tune: Evaluating LLMs for Cross-Language Flaky Test Detection

Autoři: Ahmad, Azeem Sun, Xin

Zdroj: IEEE Access. 13:205254-205277

Témata: Codes, Java, Semantics, C plus plus languages, Python, Large language models, Vocabulary, Training, Adaptation models, Robustness, Flaky tests, non-deterministic tests, fine-tuning, software testing, large language models, base models

Popis souboru: print

Přístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-220548
https://doi.org/10.1109/ACCESS.2025.3639645

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

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

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

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

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

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.

Témata: *SUPPORT vector machines, *MACHINE learning, *LANGUAGE models, *SOURCE code, *FEATURE selection, *JAVA programming language, *PROGRAMMING languages, *SOFTWARE engineering

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

On the programmability of heterogeneous massively-parallel computing systems

Autoři: Gelado Fernández, Isaac

Přispěvatelé: University/Department: Universitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors

Thesis Advisors: Navarro, Nacho, Hwu, Wen-mei William

Zdroj: TDX (Tesis Doctorals en Xarxa)

Témata: heterogeneous parallel systems, NVAMA, ADSM, programability, HPE

Popis souboru: application/pdf

Přístupová URL adresa: http://www.tdx.cat/TDX-0131111-104236
http://hdl.handle.net/10803/6031
https://dx.doi.org/10.5821/dissertation-2117-93345

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

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

Context‐based transfer learning for low resource code summarization.

Autoři: Guo, Yi Chai, Yu Zhang, Lehuan a další

Zdroj: Software: Practice & Experience; Mar2024, Vol. 54 Issue 3, p465-482, 18p

Témata: SOFTWARE maintenance, TRANSFER of training, LANGUAGE models, JAVA programming language, SOURCE code, NEURAL circuitry

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

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)

Best practices and tools in R and Python for statistical processing and visualization of lipidomics and metabolomics data

Autoři: Jakub Idkowiak Jonas Dehairs Jana Schwarzerová a další

Zdroj: Nature Communications, Vol 16, Iss 1, Pp 1-19 (2025)

Témata: Science

Popis souboru: electronic resource

Relation: https://doaj.org/toc/2041-1723

Přístupová URL adresa: https://doaj.org/article/4e901a73a34347ffbef54049de5ac663

FHIR in Focus: Enabling Biomedical Data Harmonization for Intelligent Healthcare Systems.

Autoři: Hornback, Andrew Marteau, Benoit Tan, Shaun Q. Y. a další

Zdroj: IEEE Reviews in Biomedical Engineering; 2026, Vol. 19, p305-336, 32p

ISEV2025 Abstract Book.

Zdroj: Journal of Extracellular Vesicles; Oct2025 Supplement 1, Vol. 14, p1-555, 555p

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