Výsledky vyhľadávania - Java AND python source code

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

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

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

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

Efficiently and precisely searching for code changes with diffsearch.

Autori: Di Grazia, Luca

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

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

SBOM generation based on code-level external component trees.

Autori: Kong X Zhuo H Miao X a ďalší

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

Spôsob vydávania: Journal Article

Informácie o časopise: 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

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

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

A Tool to Detect Plagiarism in Java Source Code

Autori: Swati Srivastava Akshit Rai Mahima Varshney

Zdroj: Lecture Notes in Networks and Systems ISBN: 9789811573446

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

AVATAR: A Parallel Corpus for Java-Python Program Translation

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

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

Predmety: 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)

Prístupová URL adresa: http://arxiv.org/abs/2108.11590
https://arxiv.org/abs/2108.11590

Preparing the TAU performance system for exascale and beyond.

Autori: Huck, Kevin A. Shende, Sameer Malony, Allen D. a ďalší

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

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

Domain-aware graph neural networks for source code vulnerability detection.

Autori: Lekeufack Foulefack, Rosmael Zidane Marchetto, Alessandro

Zdroj: Information & Software Technology. Jul2026, Vol. 195, pN.PAG-N.PAG. 1p.

Predmety: GRAPH neural networks, COMPUTER software security, DEEP learning, PENETRATION testing (Computer security), SOURCE code

AVATAR: A Parallel Corpus for Java-Python Program Translation

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

Témy: Software Engineering, Computation and Language, text

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

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

Autori: Lucas Bastos Germano Ronaldo Ribeiro Goldschmidt Ricardo Choren Noya a ďalší

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

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

Popis súboru: electronic resource

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

Prístupová URL adresa: https://doaj.org/article/eff4d61e55144036ba2824c759654319

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

When Retriever Meets Generator : A Joint Model for Code Comment Generation

Autori: Le, T. P. T. Bui, A. M. T. Pham, H. N. D. a ďalší

Témy: Training, Codes, Shape, Source coding, Retrieval augmented generation, Noise, Nearest neighbor methods, Software measurement, Software engineering, Python, Code comment generation, Pre-trained language model, Computer Sciences, Datavetenskap (datalogi), Conference paper, info:eu-repo/semantics/conferenceObject, text

URL: http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-75816
2025 ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM), p. 435-441

Evaluating Large Language Models for Code Translation: Effects of Prompt Language and Prompt Design

Autori: Aljagthami, Aamer Banabila, Mohammed Alshehri, Musab a ďalší

Témy: Software Engineering, text

URL: http://arxiv.org/abs/2509.12973

The Hidden Cost of Readability: How Code Formatting Silently Consumes Your LLM Budget

Autori: Pan, Dangfeng Sun, Zhensu Zhang, Cenyuan a ďalší

Témy: Software Engineering, Artificial Intelligence, text

URL: http://arxiv.org/abs/2508.13666

Evaluating Code Generation of LLMs in Advanced Computer Science Problems

Autori: Catir, Emir Claesson, Robin Tsoupidi, Rodothea Myrsini

Témy: Artificial Intelligence, Computers and Society, text

URL: http://arxiv.org/abs/2504.14964

Do Programmers Prefer Predictable Expressions in Code?

Autori: Casalnuovo, Casey Lee, Kevin Wang, Hulin a ďalší

Zdroj: Cognitive Science. 44(12)

Predmety: Biological Psychology, Cognitive and Computational Psychology, Psychology, Applied and Developmental Psychology, Cognition, Comprehension, Humans, Language, Probability, Programming Languages, Reading, Writing, Surprisal, Language models, Dual channel constraints, Source code expressions, Meaning‐, preserving transformations, Human preference, Meaning-preserving transformations, Artificial Intelligence and Image Processing, Cognitive Sciences, Experimental Psychology, Applied and developmental psychology, Biological psychology, Cognitive and computational psychology

Popis súboru: application/pdf

Prístupová URL adresa: https://escholarship.org/uc/item/0km7r21z
https://escholarship.org/content/qt0km7r21z/qt0km7r21z.pdf