Výsledky vyhledávání - "((\"Java AND python source code\") OR (\"Java AND python resource code\"))*"

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

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

Enhancing Code Summarization with Graph Embedding and Pre-Trained Model.

Autoři: Li, Lixuan Li, Jie Xu, Yihui a další

Zdroj: International Journal of Software Engineering & Knowledge Engineering. Nov/Dec2023, Vol. 33 Issue 11/12, p1765-1786. 22p.

Témata: *PROGRAMMING languages, *INFORMATION resources, LANGUAGE models, SOURCE code, PYTHON programming language

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

Are Bigger LLMs Always Better? A Study of Open and Closed-Source Models in Code Generation and Translation

Autoři: Shiung, Tian-Yu

Thesis Advisors: Computer Science and#38; Applications, Brown, Dwayne Christian, Tilevich, Eli, Seyam, Mohammed Saad Mohamed Elmahdy

Témata: Efficient Large Language Model, Code Generation, Code Translation

Popis souboru: ETD; application/pdf

Dostupnost: https://hdl.handle.net/10919/127260

FastHPOCR: pragmatic, fast, and accurate concept recognition using the human phenotype ontology.

Autoři: Groza, Tudor Gration, Dylan Baynam, Gareth a další

Zdroj: Bioinformatics. Jul2024, Vol. 40 Issue 7, p1-8. 8p.

Témata: *LANGUAGE models, *HUMAN phenotype, *SOURCE code, *NATURAL languages, *PHENOTYPES

基于自动机的Java信息流分析. (Chinese)

Alternate Title: Automata-based information flow analysis for Java. (English)

Autoři: 吴泽智 陈性元 杜学绘 a další

Zdroj: Application Research of Computers / Jisuanji Yingyong Yanjiu; Jan2019, Vol. 36 Issue 1, p246-253, 5p

Témata: FINITE state machines, SOURCE code, INFORMATION technology security, WORKFLOW, INFORMATION resources management, COMPILERS (Computer programs)

Do Programmers Prefer Predictable Expressions in Code?

Autoři: Casalnuovo C Lee K Wang H a další

Zdroj: Cognitive science [Cogn Sci] 2020 Dec; Vol. 44 (12), pp. e12921.

Způsob vydávání: Journal Article; Research Support, U.S. Gov't, Non-P.H.S.

Informace o časopise: Publisher: Wiley-Blackwell Country of Publication: United States NLM ID: 7708195 Publication Model: Print Cited Medium: Internet ISSN: 1551-6709 (Electronic) Linking ISSN: 03640213 NLM ISO Abbreviation: Cogn Sci Subsets: MEDLINE

Výrazy ze slovníku MeSH: Comprehension* , Language* , Probability* , Programming Languages*, Cognition ; Humans ; Reading ; Writing

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

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

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

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

Autoři: Vahid, Frank Givargis, Tony

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

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

Using software metrics for predicting vulnerable classes in java and python based systems.

Autoři: Sultana, Kazi Zakia Anu, Vaibhav Chong, Tai-Yin

Zdroj: Information Security Journal: A Global Perspective; 2024, Vol. 33 Issue 3, p251-267, 17p

Témata: SOFTWARE measurement, PYTHON programming language, OBJECT-oriented programming, PYTHONS, PROGRAMMING languages, FORECASTING

Blindspots in Python and Java APIs Result in Vulnerable Code.

Autoři: BRUN, YURIY TIAN LIN SOMERVILLE, JESSIE ELISE a další

Zdroj: ACM Transactions on Software Engineering & Methodology; May2023, Vol. 32 Issue 3, p1-31, 31p

A detection process to create awareness of source-code plagiarism among students using it to pass introductory programming.

Autoři: Smit, Imelda Naudé, Eduan Zulu, Busisiwe

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

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

Using ChatGPT as a Static Application Security Testing Tool.

Autoři: Bakhshandeh, Atieh Keramatfar, Abdalsamad Norouzi, Amir a další

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

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

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

Autoři: Bagheri, Amirreza Hegedűs, Péter

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

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

Python source code plagiarism attacks on introductory programming course assignments.

Autoři: Karnalim, Oscar

Zdroj: Themes in Science & Technology Education; 2017, Vol. 10 Issue 1, p17-29, 13p

Témata: PLAGIARISM -- Universities & colleges, UNDERGRADUATES, PYTHON programming language

Optimizing Pre-Trained Code Embeddings With Triplet Loss for Code Smell Detection

Autoři: Ali Nizam Ertugrul Islamoglu Omer Kerem Adali a další

Zdroj: IEEE Access, Vol 13, Pp 31335-31350 (2025)

Témata: Code embedding, contrastive learning, triplet loss, code smell detection, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

Popis souboru: electronic resource

Relation: https://ieeexplore.ieee.org/document/10890964/; https://doaj.org/toc/2169-3536

Přístupová URL adresa: https://doaj.org/article/9fe6b8a447d3493090bfb60feea8039c

SBOM generation based on code-level external component trees

Autoři: Xianglong Kong Hangyi Zhuo Xinyuan Miao a další

Zdroj: Scientific Reports, Vol 15, Iss 1, Pp 1-17 (2025)

Témata: Medicine, Science

Popis souboru: electronic resource

Relation: https://doaj.org/toc/2045-2322

Přístupová URL adresa: https://doaj.org/article/af0ead07f559402899ee90d10fa87479