Výsledky vyhledávání - Java and python resource code

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

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

Autoři: Federico Cassano John Gouwar Francesca Lucchetti a další

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

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

Přístupová URL adresa: http://arxiv.org/abs/2308.09895

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

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

Autoři: Cassano, Federico Gouwar, John Lucchetti, Francesca a další

Témata: Computer Science - Programming Languages, Computer Science - Machine Learning, text

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

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

Autoři: Kurapati, Maheswara

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

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

Context‐based transfer learning for low resource code summarization

Autoři: Yi Guo Yu Chai Lehuan Zhang a další

Zdroj: Software: Practice and Experience. 54:465-482

Témata: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Program Code Generation with Generative AIs.

Autoři: Idrisov, Baskhad Schlippe, Tim

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

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

Making Python Code Idiomatic by Automatic Refactoring Non-Idiomatic Python Code with Pythonic Idioms

Autoři: Zhang, Zejun Xing, Zhenchang Xia, Xin a další

Témata: Computer Science - Software Engineering, text

URL: http://arxiv.org/abs/2207.05613

Deriving Coding-Specific Sub-Models from LLMs using Resource-Efficient Pruning

Autoři: Puccioni, Laura Farshin, Alireza Scazzariello, Mariano a další

Zdroj: Digital Futures Proceedings of IEEE/ACM International Workshop on Large Language Models for Code 2025, LLM4Code 2025.

Témata: Large Language Models, LLMs, pruning, code

Popis souboru: electronic

Přístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-374905
https://kth.diva-portal.org/smash/get/diva2:2025739/FULLTEXT01.pdf

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

Cross-lingual Performance of CodeGPT on the Code Completion Task

Autoři: Kuo, Nadine (author)

Témata: 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

AVATAR: A Parallel Corpus for Java-Python Program Translation

Autoři: Ahmad, Wasi Uddin Tushar, Md Golam Rahman Chakraborty, Saikat a další

Témata: Computer Science - Software Engineering, Computer Science - Computation and Language, text

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

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)

Autoři: Cerutti, Paulo Henrique Carbonari, Luan Tiago dos Santos Junior, Carlos Zacarias Joaquim a další

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

Témata: 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.

Autoři: López, José Antonio Hernández Cuadrado, Jesús Sánchez Rubei, Riccardo a další

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

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

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)

Cross-Language Interoperability of Heterogeneous Code

Autoři: Athanasios Stratikopoulos Florin Blanaru Juan Fumero a další

Zdroj: Stratikopoulos, A, Blanaru, F, Fumero Alfonso, J, Xekalaki, M, Papadakis, O & Kotselidis, C-E 2023, 'Cross-Language Interoperability of Heterogeneous Code', pp. 1-5. < https://research.manchester.ac.uk/files/262497442/Stratikopoulos_MoreVMs2023_Preprint.pdf >
Programming 2023, MoreVMs 2023

Témata: code interoperability, Heterogeneous Hardware, programming languages, heterogeneous hardware, Programming Languages, Code Interoperability

Popis souboru: application/pdf

Přístupová URL adresa: https://research.manchester.ac.uk/en/publications/914f3273-c000-4181-a447-2580867dc7fc
https://pure.manchester.ac.uk/ws/files/262497442/Stratikopoulos_MoreVMs2023_Preprint.pdf
https://research.manchester.ac.uk/en/publications/914f3273-c000-4181-a447-2580867dc7fc
https://research.manchester.ac.uk/files/262497442/Stratikopoulos_MoreVMs2023_Preprint.pdf

The Safety and Performance of Prominent Programming Languages.

Autoři: Bugden, William Alahmar, Ayman

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

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

Automatic detection and extraction of key resources from tables in biomedical papers.

Autoři: Ozyurt, Ibrahim Burak Bandrowski, Anita

Zdroj: BioData Mining; 3/20/2025, Vol. 18 Issue 1, p1-18, 18p

Témata: GENERATIVE pre-trained transformers, NATURAL language processing, LANGUAGE models, SCIENTIFIC literature, ARTIFICIAL intelligence, PIPELINE inspection

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

Autoři: Zhu, Ming Karim, Mohimenul Lourentzou, Ismini a další

Témata: Article - Refereed

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

Mutation analysis for evaluating code translation

Autoři: Guizzo, G Zhang, JM Sarro, F a další

Témata: Journal Article

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