Search Results - "((\"Java AND python source code) OR (\"Java AND python resource code))~\""

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

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

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

Subject Terms: source code, merge, tool, software engineering

Access URL: http://hdl.handle.net/11375/28838

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

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

Source: IEEE Access. 13:54561-54584

Subject Terms: 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

File Description: electronic

Access 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.

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

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

Subject Terms: Graph neural networks, Java programming language, Python programming language, C++, Data structures, Defect tracking (Computer software development), Software failures, Machine learning

Measuring Cyclomatic Complexity of Source Code Using Machine Learning.

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

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

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

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

Authors: Kurapati, Maheswara

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

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

SBOM generation based on code-level external component trees.

Authors: Kong X Zhuo H Miao X et al.

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

Publication Type: Journal Article

Journal Info: 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

Multi-Label Classification of Pure Code.

Authors: Gao, Bin Qin, Hongwu Ma, Xiuqin

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

Subject Terms: PROGRAMMING languages, SOURCE code, CLASSIFICATION, INSTITUTIONAL repositories, ENCODING

Efficiently and precisely searching for code changes with diffsearch.

Authors: Di Grazia, Luca

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

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

Preparing the TAU performance system for exascale and beyond.

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

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

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

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

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

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

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

File Description: electronic resource

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

Access URL: https://doaj.org/article/eff4d61e55144036ba2824c759654319

AVATAR: A Parallel Corpus for Java-Python Program Translation

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

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

Subject Terms: 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)

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

A Tool to Detect Plagiarism in Java Source Code

Authors: Swati Srivastava Akshit Rai Mahima Varshney

Source: Lecture Notes in Networks and Systems ISBN: 9789811573446

Access 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

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

Authors: Vahid, Frank Givargis, Tony

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

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

Do Programmers Prefer Predictable Expressions in Code?

Authors: Casalnuovo, Casey Lee, Kevin Wang, Hulin et al.

Source: Cognitive Science. 44(12)

Subject Terms: 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

File Description: application/pdf

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

AVATAR: A Parallel Corpus for Java-Python Program Translation

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

Index Terms: Computer Science - Software Engineering, Computer Science - Computation and Language, text

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

On the programmability of heterogeneous massively-parallel computing systems

Authors: Gelado Fernández, Isaac

Contributors: University/Department: Universitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors

Thesis Advisors: Navarro, Nacho, Hwu, Wen-mei William

Source: TDX (Tesis Doctorals en Xarxa)

Subject Terms: heterogeneous parallel systems, NVAMA, ADSM, programability, HPE

File Description: application/pdf

Access URL: http://www.tdx.cat/TDX-0131111-104236
http://hdl.handle.net/10803/6031
https://dx.doi.org/10.5821/dissertation-2117-93345

ANON: A Cooperative Multitasking Scheduler in Source Code for Teaching and Implementing Concurrent or Real-Time Software

Authors: Frank Vahid Bailey Miller Tony Givargis

Source: CoED. 14

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

Authors: Frank Vahid Bailey Miller Tony Givargis

Source: 2022 ASEE Annual Conference & Exposition Proceedings.

File Description: application/pdf

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

Authors: Alı Nızam Ertuğrul İslamoğlu Ömer Kerem Adali et al.

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

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

Access URL: https://doaj.org/article/9fe6b8a447d3493090bfb60feea8039c

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

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

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

Subject Terms: JAVA programming language, PYTHON programming language, GRAPH theory, REPRESENTATIONS of graphs