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

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

Autori: Yi Rong Yan Zhou

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

Predmety: 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

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

Context‐based transfer learning for low resource code summarization.

Autori: Guo, Yi Chai, Yu Zhang, Lehuan a ďalší

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

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

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

Autori: Ahmad, Azeem Sun, Xin

Zdroj: IEEE Access. 13:205254-205277

Predmety: 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 súboru: electronic

Prístupová 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

Autori: Ahmad, Azeem Sun, Xin Naeem, Muhammad Rashid a ďalší

Zdroj: IEEE Access. 13:54561-54584

Predmety: 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 súboru: electronic

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

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

Autori: Chaudhari, Nirmal Jain, Madhur Mosser, Sébastien a ďalší

Prispievatelia: Chaudhari, Nirmal Jain, Madhur Mosser, Sébastien a ďalší

Predmety: source code, merge, tool, software engineering

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

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

Autori: 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

Autori: Bhutani Vikram Toosi Farshad Ghassemi Buckley Jim

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

Predmety: 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 súboru: electronic resource

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

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

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

Autori: Komolov, Sirojiddin Mazzara, Manuel Bajwa, Imran Sarwar a ďalší

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

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

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

Autori: Puchades, Maja A. Yates, Sharon C. Csucs, Gergely a ďalší

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

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

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

Autori: Juwono, Elroy Novarino Phoa, Matthew Farrell Wijaya, Michael a ďalší

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

Predmety: 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

Autori: Muhammad Ilham Akbar Novita Kurnia Ningrum

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

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

Popis súboru: electronic resource

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

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

CNN-BASED CODE READABILITY CLASSIFICATION AND BUG LOCALIZATION IN PROGRAMMING FRAMEWORK.

Autori: BARRAMEDA, ROLANDO B. BALLERA, MELVIN A.

Zdroj: TPM: Testing, Psychometrics, Methodology in Applied Psychology; 2025 Supplement, Vol. 32, p201-206, 6p

Legal freshwater turtle meat trade in Indonesia only marginally contributes to collectors' livelihoods.

Autori: Nijman, Vincent Shepherd, Chris R.

Zdroj: Discover Animals (3004-894X). Dec2025, Vol. 2 Issue 1, p1-9. 9p.

Predmet: Wild animal trade, Income, Nature conservation, Indonesians, Trade regulation, Turtles

Geografický termín: Indonesia

Can open source large language models be used for tumor documentation in Germany?—An evaluation on urological doctors' notes.

Autori: Lenz, Stefan Ustjanzew, Arsenij Jeray, Marco a ďalší

Zdroj: BioData Mining; 7/24/2025, Vol. 18 Issue 1, p1-25, 25p

Predmety: LANGUAGE models, MEDICAL records, DATA mining, UROLOGISTS, OPEN source software, MEDICAL language

Geografický termín: GERMANY

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

Autori: Linssen, Charl Babu, Pooja N. Eppler, Jochen M. a ďalší

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

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

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

Autori: Smit, Imelda Naudé, Eduan Zulu, Busisiwe

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

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

LATE BREAKING ABSTRACTS.

Zdroj: Open Forum Infectious Diseases; 2026 Supplement, Vol. 13, pS1-S1337, 3574p

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

Autori: Hornback, Andrew Marteau, Benoit Tan, Shaun Q. Y. a ďalší

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

Systems Neuroscience Computing in Python (SyNCoPy): a python package for large-scale analysis of electrophysiological data.

Autori: Mönke, Gregor Schäfer, Tim Parto-Dezfouli, Mohsen a ďalší

Zdroj: Frontiers in Neuroinformatics; 2024, p1-8, 8p

Predmety: COMPUTER systems, SIGNAL processing, POWER spectra, COHERENCE (Physics), PARALLEL processing

A dataset for human-written and AI-generated code source classification(Mendeley Data).

Autori: Ghizlane Boukili Said EL Garouani Jamal Riffi

Zdroj: Data in Brief, Vol 65, Iss , Pp 112527- (2026)

Predmety: ChatGPT, Programming languages, Machine learning, Detection, Prompt, Computer applications to medicine. Medical informatics, R858-859.7, Science (General), Q1-390

Popis súboru: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2352340926000806; https://doaj.org/toc/2352-3409

Prístupová URL adresa: https://doaj.org/article/e71dc34051dc4789bdc6d3608aeef850