Suchergebnisse - (java OR (jana OR jan)) AND python source code*

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

Autoren: Yi Rong Yan Zhou

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

Schlagwörter: 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

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

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

Autoren: Chaudhari, Nirmal Jain, Madhur Mosser, Sébastien et al.

Weitere Verfasser: Chaudhari, Nirmal Jain, Madhur Mosser, Sébastien et al.

Schlagwörter: source code, merge, tool, software engineering

Zugangs-URL: http://hdl.handle.net/11375/28838

Understanding Flaky Tests Through Linguistic Diversity: A Cross-Language and Comparative Machine Learning Study

Autoren: Ahmad, Azeem Sun, Xin Naeem, Muhammad Rashid et al.

Quelle: IEEE Access. 13:54561-54584

Schlagwörter: 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

Dateibeschreibung: electronic

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

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

Autoren: Eric Jin Yu Sun

Quelle: 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

Autoren: Bhutani Vikram Toosi Farshad Ghassemi Buckley Jim

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

Schlagwörter: 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

Dateibeschreibung: electronic resource

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

Zugangs-URL: https://doaj.org/article/ac1de08d4c5c4733b3ca9004305cf826

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

Autoren: Komolov, Sirojiddin Mazzara, Manuel Bajwa, Imran Sarwar et al.

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

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

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

Autoren: Juwono, Elroy Novarino Phoa, Matthew Farrell Wijaya, Michael et al.

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

Schlagwörter: 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

Autoren: Muhammad Ilham Akbar Novita Kurnia Ningrum

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

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

Dateibeschreibung: electronic resource

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

Zugangs-URL: https://doaj.org/article/f40cbf64cc594c2e8ae97f26ed727c5a

GNPSum: A code summarization enhancement framework based on Graph Node Position.

Autoren: Cheng, Haogang Xu, Ling Huangfu, Luwen et al.

Quelle: Information & Software Technology. Nov2025, Vol. 187, pN.PAG-N.PAG. 1p.

Schlagwörter: JAVA programming language, PYTHON programming language, GRAPH theory, REPRESENTATIONS of graphs

Marginalizing Sample Consensus.

Autoren: Barath, Daniel Noskova, Jana Matas, Jiri

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

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

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

Autoren: Puchades, Maja A. Yates, Sharon C. Csucs, Gergely et al.

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

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

Comprehending C codes with LLMs: Effective comment generation through retrieval and reasoning.

Autoren: Majumdar, Srijoni Deshpande, Adwita Das, Partha Pratim et al.

Quelle: Pattern Recognition Letters. Jan2026, Vol. 199, p295-302. 8p.

Schlagwörter: *C (Computer program language), *LANGUAGE models, *EVALUATION methodology, *SOFTWARE maintenance, *ANNOTATIONS, *NATURAL language processing, *MACHINE learning

Identifier Names, Comprehension and Code Metrics: Literature Review.

Autoren: Herka, Iwo

Quelle: Advances in Cognitive Psychology; 2025, Vol. 21 Issue 4, p445-461, 17p

Schlagwörter: COMPUTER software development, COGNITION, SCHOLARLY peer review, COMPUTER software quality control, EXPERIMENTAL design, SOFTWARE measurement

Implementation of python source code comparison results with Java using bubble sort method

Autoren: Insanudin, E

Quelle: Journal of Physics: Conference Series ; volume 1280, issue 3, page 032027 ; ISSN 1742-6588 1742-6596

Verfügbarkeit: 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

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

Autoren: Linssen, Charl Babu, Pooja N. Eppler, Jochen M. et al.

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

Schlagwörter: 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.

Autoren: Smit, Imelda Naudé, Eduan Zulu, Busisiwe

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

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

Code Plagiarism Checking Function and Its Application for Code Writing Problem in Java Programming Learning Assistant System

Autoren: Ei Ei Htet Khaing Hsu Wai Soe Thandar Aung et al.

Quelle: Analytics, Vol 3, Iss 1, Pp 46-62 (2024)

Schlagwörter: Java programming learning, JPLAS, JUnit, code writing problem, plagiarism, Levenshtein distance, Electronic computers. Computer science, QA75.5-76.95, Probabilities. Mathematical statistics, QA273-280

Dateibeschreibung: electronic resource

Relation: https://www.mdpi.com/2813-2203/3/1/4; https://doaj.org/toc/2813-2203

Zugangs-URL: https://doaj.org/article/b47e83e17417408685e50766402cd511

Measurement and Development for Automated Secure Coding Solutions

Autoren: Frantz, Miles Eugene

Thesis Advisors: Computer Science and#38; Applications, Yao, Danfeng, Rajagopalan, Raj, Meng, Na, Chung, Taejoong Tijay, Brown, Dwayne Christian

Schlagwörter: Large Language Models, Machine Learning, Static Code Analysis, Python, Java, Benchmark

Dateibeschreibung: ETD; application/pdf

Verfügbarkeit: https://hdl.handle.net/10919/121100

A novel exploration strategy for the YUKI algorithm for topology optimization with metaheuristic structural binary distribution.

Autoren: Benaissa, Brahim Kobayashi, Masakazu Al Ali, Musaddiq et al.

Quelle: Engineering Optimization; May2025, Vol. 57 Issue 5, p1198-1218, 21p

Schlagwörter: ENGINEERING design, SEARCH algorithms, STRAIN energy, SPACE exploration, SOURCE code, METAHEURISTIC algorithms

A Systematic Review on Detection, Repair, and Explanation of Vulnerabilities in Source Code Using Large Language Models

Autoren: Lucas Bastos Germano Ronaldo Ribeiro Goldschmidt Ricardo Choren Noya et al.

Quelle: IEEE Access, Vol 13, Pp 192263-192293 (2025)

Schlagwörter: Large language model, systematic literature review, vulnerability detection, vulnerability repair, vulnerability explanation, vulnerability reasoning, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

Dateibeschreibung: electronic resource

Relation: https://ieeexplore.ieee.org/document/11237115/; https://doaj.org/toc/2169-3536

Zugangs-URL: https://doaj.org/article/eff4d61e55144036ba2824c759654319