Suchergebnisse - (java OR jan) (source OR resource) code

Serializing java objects in plain code

Autoren: Wachter, Julian Tiwari, Deepika Monperrus, Martin et al.

Quelle: Journal of Systems and Software. 234

Schlagwörter: Code, Serialization, Objects on disk, Runtime, Java

Dateibeschreibung: print

Zugangs-URL: https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-377410
https://doi.org/10.1016/j.jss.2025.112721

Context‐based transfer learning for low resource code summarization.

Autoren: Guo, Yi Chai, Yu Zhang, Lehuan et al.

Quelle: Software: Practice & Experience; Mar2024, Vol. 54 Issue 3, p465-482, 18p

Schlagwörter: SOFTWARE maintenance, TRANSFER of training, LANGUAGE models, JAVA programming language, SOURCE code, NEURAL circuitry

Java Source Code Vulnerability Detection Using Large Language Model.

Autoren: Anbiya, Dhika Rizki Ferdinan, Teddy Kołaczek, Grzegorz

Quelle: Procedia Computer Science. 2025, Vol. 270, p2828-2837. 10p.

Schlagwörter: Language models, Computer software security, Java programming language, Penetration testing (Computer security)

A Study of Introductory Exercise Problems for Novice Students in Java Programming Learning Assistant System.

Autoren: Mentari, Mustika Funabiki, Nobuo Kinari, Safira Adine et al.

Quelle: IAENG International Journal of Computer Science. Oct2025, Vol. 52 Issue 10, p3526-3544. 19p.

Schlagwörter: Java programming language, Object-oriented programming, Student assignments, Autodidacticism, Educational evaluation, Source code, Academic support programs, College freshmen

Geografische Kategorien: Indonesia

Deployment of Machine Learning Algorithms on Resource-Constrained Hardware Platforms for Prosthetics

Autoren: Just, Fabian Ghinami, Chiara Zbinden, Jan et al.

Quelle: IEEE Access. 12:40439-40449

Schlagwörter: embedded systems, QKeras, quantization, Motion intent recognition, classification, prosthetics, TensorFlow, neural networks, real-Time, machine learning

Dateibeschreibung: electronic

Zugangs-URL: https://research.chalmers.se/publication/540589
https://research.chalmers.se/publication/540589/file/540589_Fulltext.pdf

Design of an Automated Mobile Phone-Based Reminder and Incentive System: Application in a Quasi-Randomized Controlled Trial to Improve the Timeliness of Childhood Vaccinations in Tanzania.

Autoren: van Zwetselaar, Marco Ostermann, Jan Beti, Melkiory et al.

Quelle: JMIR Formative Research; 2025, Vol. 9, p1-13, 13p

Schlagwörter: VACCINATION of children, CELL phones, TEXT messages, INCENTIVE (Psychology), RANDOMIZED controlled trials, MEDICAL communication

Geografische Kategorien: TANZANIA

Software and pipelines for registration and analyses of rodent brain image data in reference atlas space.

Autoren: Puchades, Maja A. Yates, Sharon C. Csucs, Gergely et al.

Quelle: Frontiers in Neuroinformatics; 2025, p1-15, 15p

Schlagwörter: OPEN source software, DATA analysis, DATA visualization, COMPUTER software, SOFTWARE frameworks, BRAIN mapping, DATA mapping, RODENTS

Causes and Canonicalization of Unreproducible Builds in Java

Autoren: Sharma, Aman Baudry, Benoit Monperrus, Martin

Quelle: IEEE Transactions on Software Engineering. 52(1):54-69

Schlagwörter: Java, Reproducible builds, canonicalization, software supply chain

Dateibeschreibung: print

Zugangs-URL: https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-377736
https://doi.org/10.1109/TSE.2025.3627891

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

Large-Scale Dataset of Local Java Software Build Results

Autoren: Matúš Sulír Michaela Bačíková Matej Madeja et al.

Quelle: Data, Vol 5, Iss 3, p 86 (2020)

Schlagwörter: build tool, program compilation, failure, Ant, Maven, Gradle, Bibliography. Library science. Information resources

Dateibeschreibung: electronic resource

Relation: https://www.mdpi.com/2306-5729/5/3/86; https://doaj.org/toc/2306-5729

Zugangs-URL: https://doaj.org/article/c31eaa77bbb040a7b75a0dda65630979

The Level of Production Risks among Smallholder Arabica Coffee Farmers Through BWM and ARP Benchmarking Methods: A Case Study in Bondowoso Regency, East Java Province.

Autoren: Puryantoro Hariyati, Yuli Aji, Joni Murti Mulyo et al.

Quelle: Asian Journal of Dairy & Food Research. Oct2025, Vol. 44 Issue 5, p761-767. 7p.

Source Code Features and their Dependencies: An Aggregative Statistical Analysis on Open-Source Java Software Systems

Autoren: Toosi Farshad Ghassemi

Quelle: Applied Computer Systems, Vol 28, Iss 2, Pp 221-231 (2023)

Schlagwörter: object oriented principle, source code analysis, source code feature extraction, Computer software, QA76.75-76.765

Dateibeschreibung: electronic resource

Relation: https://doaj.org/toc/2255-8691

Zugangs-URL: https://doaj.org/article/aa9b5b8e22594471aa8d5824316f0286

BERT4Anno: An annotation misuse detection method for Java.

Autoren: Yang, Jingbo Ji, Xin Wu, Wenjun et al.

Quelle: Information & Software Technology. Aug2025, Vol. 184, pN.PAG-N.PAG. 1p.

Schlagwörter: *PROBLEM solving, SOURCE code, ANNOTATIONS, INFORMATION design, DESIGN techniques, BILEVEL programming

Lingual-Fusion Adapter-Based Transfer Learning for Low-Resource Code Vulnerability Detection

Autoren: Xinyue Long Shikai Guo Yu Chai et al.

Quelle: IEEE Transactions on Consumer Electronics. 71:1008-1023

Checking security compliance between models and code

Autoren: Tuma, Katja Peldszus, Sven Strüber, Daniel et al.

Quelle: Software and Systems Modeling. 22:273-296

Dateibeschreibung: electronic

Zugangs-URL: https://research.chalmers.se/publication/547113
https://research.chalmers.se/publication/547113/file/547113_Fulltext.pdf

CodeGuard: enhancing accuracy in detecting clones within java source code

Autoren: Yasir Glani Luo Ping

Quelle: Frontiers in Computer Science, Vol 6 (2024)

Schlagwörter: code clone detection, clone identification, software reliability, code quality assurance, software reuse, Electronic computers. Computer science, QA75.5-76.95

Dateibeschreibung: electronic resource

Relation: https://www.frontiersin.org/articles/10.3389/fcomp.2024.1455860/full; https://doaj.org/toc/2624-9898

Zugangs-URL: https://doaj.org/article/d540ef3a592f443c80281a8a6d7512a4

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

Meta-Heuristic Guided Feature Optimization for Enhanced Authorship Attribution in Java Source Code

Autoren: Bilal Al-Ahmad Nailah Al-Madi Abdullah Alzaqebah et al.

Quelle: IEEE Access, Vol 11, Pp 141657-141673 (2023)

Schlagwörter: Evolutionary computation, data mining, feature selection, java, source code, authorship attribution, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

Dateibeschreibung: electronic resource

Relation: https://ieeexplore.ieee.org/document/10352131/; https://doaj.org/toc/2169-3536

Zugangs-URL: https://doaj.org/article/c753f197abe54ceb80c60fc7a83919a4

Evaluating and Securing Text-Based Java Code through Static Code Analysis

Autoren: Yang, Jeong Lee, Young Fernandez, Amanda et al.

Quelle: Journal of Cybersecurity Education, Research and Practice. Jun 2020 2020(1).

Peer Reviewed: Y

Page Count: 28

Descriptors: Computer Security, Programming Languages, Programming, Computer Uses in Education, Technology Uses in Education, Error Patterns, Computer Science Education, Data Analysis, Textbooks, Electronic Publishing, Coding

Vulnerability detection in Java source code using a quantum convolutional neural network with self-attentive pooling, deep sequence, and graph-based hybrid feature extraction

Autoren: Shumaila Hussain Muhammad Nadeem Junaid Baber et al.

Quelle: Scientific Reports, Vol 14, Iss 1, Pp 1-17 (2024)

Schlagwörter: Vulnerability detection, Self-attentive QCNN, Feature extraction, Hybrid GCN, Software security, CodeBERT, Medicine, Science

Dateibeschreibung: electronic resource

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

Zugangs-URL: https://doaj.org/article/8e8bb67384c6492ab0d9070e4bb17f8c