Suchergebnisse - (java OR jana) and python source code*

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

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

Dateibeschreibung: electronic resource

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

Zugangs-URL: https://doaj.org/article/0e8d85656442482785bc981b326c25a4

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

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

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

A dataset for human-written and AI-generated code source classification.

Autoren: Boukili G Garouani SE Riffi J

Quelle: Data in brief [Data Brief] 2026 Jan 29; Vol. 65, pp. 112527. Date of Electronic Publication: 2026 Jan 29 (Print Publication: 2026).

Publikationsart: Journal Article

Info zur Zeitschrift: Publisher: Elsevier B.V Country of Publication: Netherlands NLM ID: 101654995 Publication Model: eCollection Cited Medium: Internet ISSN: 2352-3409 (Electronic) Linking ISSN: 23523409 NLM ISO Abbreviation: Data Brief Subsets: PubMed not MEDLINE

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

SBOM generation based on code-level external component trees.

Autoren: Kong X Zhuo H Miao X et al.

Quelle: Scientific reports [Sci Rep] 2025 Nov 24; Vol. 15 (1), pp. 45277. Date of Electronic Publication: 2025 Nov 24.

Publikationsart: Journal Article

Info zur Zeitschrift: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE; PubMed not MEDLINE

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

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

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

Modeling Structural Features with Structure Position-Aware Attention for Code Summarization.

Autoren: Luo, Jian Qu, Zhiheng Cai, Bo

Quelle: International Journal of Software Engineering & Knowledge Engineering. Mar2026, Vol. 36 Issue 3, p343-361. 19p.

Schlagwörter: *TRANSFORMER models, *SOFTWARE engineering, *DATA structures, MACHINE learning, COMPUTATIONAL linguistics, GENERALIZATION

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

Using ChatGPT as a Static Application Security Testing Tool.

Autoren: Bakhshandeh, Atieh Keramatfar, Abdalsamad Norouzi, Amir et al.

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

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

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