Výsledky vyhľadávania - java and python (source OR resource) code~

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

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

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

Popis súboru: electronic resource

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

Prístupová URL adresa: https://doaj.org/article/0e8d85656442482785bc981b326c25a4

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

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

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

Autori: Federico Cassano John Gouwar Francesca Lucchetti a ďalší

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

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

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

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

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

Autori: Kurapati, Maheswara

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

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

Multi-Label Classification of Pure Code.

Autori: Gao, Bin Qin, Hongwu Ma, Xiuqin

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

Predmety: PROGRAMMING languages, SOURCE code, CLASSIFICATION, INSTITUTIONAL repositories, ENCODING

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

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

Using ChatGPT as a Static Application Security Testing Tool.

Autori: Bakhshandeh, Atieh Keramatfar, Abdalsamad Norouzi, Amir a ďalší

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

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

Measuring Cyclomatic Complexity of Source Code Using Machine Learning.

Autori: Odeh, Ayman Hussein Odeh, Munther Odeh, Hussein a ďalší

Zdroj: Revue d'Intelligence Artificielle; Feb2024, Vol. 38 Issue 1, p183-191, 9p

Predmety: SOURCE code, MACHINE learning, PROGRAMMING languages, COMPUTER software development, C++, PYTHON programming language

A comparative study for language independent code clone detection.

Autori: Omer, Shahad S. Hammo, Asma'a Y.

Zdroj: AIP Conference Proceedings; 2025, Vol. 3211 Issue 1, p1-9, 9p

Predmety: COMPUTER software development, C++, SYNTAX (Grammar), PYTHON programming language, ALGORITHMS

Insights for Curriculum-Oriented Instruction of Programming Paradigms for Non-Computer Science Majors: Survey and Public Q&A Evidence.

Autori: Oh, Ji-Hye Park, Hyun-Seok

Zdroj: Applied Sciences (2076-3417); Feb2026, Vol. 16 Issue 3, p1191, 29p

Predmety: LEARNING problems, COMPUTER science education, INSTRUCTIONAL systems, QUESTIONNAIRES, CURRICULUM planning, CONTEXTUAL learning

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

Autori: Bagheri, Amirreza Hegedűs, Péter

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

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

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

RIOS: A Task Scheduler in Source Code for Teaching and Implementing Concurrent or Real-Time Software.

Autori: Vahid, Frank Givargis, Tony

Zdroj: Proceedings of the ASEE Annual Conference & Exposition; 2022, p1-14, 14p

Predmety: SOURCE code, MICROPROCESSOR programming, REAL-time computing, EMBEDDED computer systems, COMPUTER operating systems

AVATAR: A Parallel Corpus for Java-Python Program Translation

Autori: Ahmad, Wasi Uddin Tushar, Md Golam Rahman Chakraborty, Saikat a ďalší

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

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

Cross-lingual Performance of CodeGPT on the Code Completion Task

Autori: Kuo, Nadine (author)

Témy: 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