Suchergebnisse - Java 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

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

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

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

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

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

Autoren: Entik Insanudin

Quelle: Journal of Physics: Conference Series. 1280:032027

Schlagwörter: 0103 physical sciences, 01 natural sciences

Zugangs-URL: https://jglobal.jst.go.jp/en/detail?JGLOBAL_ID=202002225554210639
https://ui.adsabs.harvard.edu/abs/2019JPhCS1280c2027I/abstract

Measuring Cyclomatic Complexity of Source Code Using Machine Learning.

Autoren: Odeh, Ayman Hussein Odeh, Munther Odeh, Hussein et al.

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

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

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: PubMed not MEDLINE; MEDLINE

Efficiently and precisely searching for code changes with diffsearch.

Autoren: Di Grazia, Luca

Quelle: ICSE: International Conference on Software Engineering; 2022, p313-315, 3p

Schlagwörter: SOURCE code, OPEN source software, JAVASCRIPT programming language, PYTHON programming language, COMPUTER programming

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

Autoren: Kurapati, Maheswara

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

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

Multi-Label Classification of Pure Code.

Autoren: Gao, Bin Qin, Hongwu Ma, Xiuqin

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

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

A Tool to Detect Plagiarism in Java Source Code

Autoren: Swati Srivastava Akshit Rai Mahima Varshney

Quelle: Lecture Notes in Networks and Systems ISBN: 9789811573446

Zugangs-URL: https://link.springer.com/content/pdf/10.1007%2F978-981-15-7345-3_20.pdf
https://link.springer.com/chapter/10.1007/978-981-15-7345-3_20

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

Preparing the TAU performance system for exascale and beyond.

Autoren: Huck, Kevin A. Shende, Sameer Malony, Allen D. et al.

Quelle: International Journal of High Performance Computing Applications; Jul2025, Vol. 39 Issue 4, p532-552, 21p

Schlagwörter: HIGH performance computing, C++, VIRTUAL machine systems, DATABASES, SOURCE code

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

AVATAR: A Parallel Corpus for Java-Python Program Translation

Autoren: Ahmad, Wasi Uddin Tushar, Md Golam Rahman Chakraborty, Saikat et al.

Quelle: Findings of the Association for Computational Linguistics: ACL 2023. :2268-2281

Schlagwörter: Software Engineering (cs.SE), FOS: Computer and information sciences, Computer Science - Software Engineering, Computer Science - Computation and Language, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, Computation and Language (cs.CL)

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

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

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

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

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

Autoren: Bagheri, Amirreza Hegedűs, Péter

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

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