Suchergebnisse - (("Java source code") OR ("Java resource code"))

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)

Compilation of Commit Changes Within Java Source Code Repositories

Autoren: Schott, Stefan Fischer, Wolfram Ponta, Serena Elisa et al.

Quelle: 2024 IEEE International Conference on Software Maintenance and Evolution (ICSME). :325-336

Schlagwörter: Software Engineering (cs.SE), FOS: Computer and information sciences, Computer Science - Software Engineering, Computer Science - Programming Languages, Programming Languages (cs.PL)

Zugangs-URL: http://arxiv.org/abs/2407.17853

A Method to Detect Vulnerability of Java Source Code based on AST and Graph Attention Networks

Autoren: Jin Zhu Hui Ge Xiao Jin et al.

Quelle: 2024 14th International Conference on Software Technology and Engineering (ICSTE). :8-16

Development of a Java Source Code Analyzer for Learning Support That Runs in a Web Browser

Autoren: Tatsuyuki Takano Takashi Kohama Osamu Miyakawa

Quelle: ACE Official Conference Proceedings. :1795-1801

Readability of Domain-Specific Languages: A Controlled Experiment Comparing (Declarative) Inference Rules with (Imperative) Java Source Code in Programming Language Design

Autoren: Kai Klanten Stefan Hanenberg Stefan Gries et al.

Quelle: Proceedings of the 19th International Conference on Software Technologies. :492-503

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

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

Enhancing Java Source Code Comprehension throughAutomated Generation of Abstract Textual Descriptions forSoftware Systems

Autoren: Karki, Suraj Colloz, Joakim

Index Begriffe: Software Comprehension, Artificial Intelligence for Software Engineering, Abstract descriptions for complex software systems, Software Engineering, Programvaruteknik, Student thesis, info:eu-repo/semantics/bachelorThesis, text

URL: http://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-55497

Research on JAVA Source Code Vulnerability Detection Device Design

Autoren: Min Li Yue Sun Cong Hou et al.

Quelle: 2023 IEEE 7th Information Technology and Mechatronics Engineering Conference (ITOEC). :2435-2438

Finding Recursive Generics in Java Source Code using Machine Learning

Autoren: Neha Kumari Rajeev Kumar

Quelle: International Journal of Engineering Trends and Technology. 71:76-84

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

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

Compilation of Commit Changes within Java Source Code Repositories (Artifact)

Autoren: Schott, Stefan Fischer, Wolfram Ponta, Serena Elisa et al.

You Look so Different: Finding Structural Clones and Subclones in Java Source Code

Autoren: Amme, Wolfram Heinze, Thomas Schäfer, André

Quelle: 2021 IEEE International Conference on Software Maintenance and Evolution (ICSME). :70-80

Schlagwörter: Code duplication, Source code clone, Structural clone, 0202 electrical engineering, electronic engineering, information engineering, Clone detection, Subclone, 02 engineering and technology, Java, Code clone

Zugangs-URL: https://elib.dlr.de/144760/
https://doi.org/10.1109/icsme52107.2021.00013

Generating Accurate OpenAPI Descriptions from Java Source Code

Autoren: Lercher, Alexander Macho, Christian Bauer, Clemens et al.

Index Begriffe: Computer Science - Software Engineering, text

URL: http://arxiv.org/abs/2410.23873

Detection of Technical Debt in Java Source Code

Autoren: Hai, Nam Le Bui, Anh M. T. Nguyen, Phuong T. et al.

Schlagwörter: Software Engineering (cs.SE), FOS: Computer and information sciences, Software Engineering

Zugangs-URL: http://arxiv.org/abs/2411.05457

Model-Driven Fault Injection in Java Source Code

Autoren: Elder Rodrigues Leonardo Montecchi Andrea Ceccarelli

Quelle: 2020 IEEE 31st International Symposium on Software Reliability Engineering (ISSRE)

Schlagwörter: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, model-driven engineering, software faults, code patterns, OCL, Java

Dateibeschreibung: application/pdf

Zugangs-URL: https://flore.unifi.it/bitstream/2158/1216639/1/issre2020.pdf
https://hdl.handle.net/2158/1216639
https://doi.org/10.1109/ISSRE5003.2020.00046

Extracting ontological knowledge from Java source code using Hidden Markov Models

Autoren: Jiomekong Azanzi Camara Gaoussou Tchuente Maurice

Quelle: Open Computer Science, Vol 9, Iss 1, Pp 181-199 (2019)

Schlagwörter: knowledge extraction, ontology learning, hidden markov models, java source code, viterbi, Electronic computers. Computer science, QA75.5-76.95

Dateibeschreibung: electronic resource

Relation: http://www.degruyter.com/view/j/comp.2019.9.issue-1/comp-2019-0013/comp-2019-0013.xml?format=INT; https://doaj.org/toc/2299-1093

Zugangs-URL: https://doaj.org/article/3c8f7cb2416a4ef2a4a88c01fa246ca6

Detecting Integer Overflow Errors in Java Source Code via Machine Learning

Autoren: Yu Luo Weifeng Xu Dianxiang Xu

Quelle: 2021 IEEE 33rd International Conference on Tools with Artificial Intelligence (ICTAI). :724-728

Schlagwörter: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Improving the detection of technical debt in Java source code with an enriched dataset

Autoren: Hai, Nam Le Bui, Anh M. T. Nguyen, Phuong T. et al.

Index Begriffe: Computer Science - Software Engineering, text

URL: http://arxiv.org/abs/2411.05457

Approach to Improving Java Source Code Considering Non-compliance with a Java Style Guide

Autoren: Pablo Becker Luis Olsina María Fernanda Papa

Quelle: Communications in Computer and Information Science ISBN: 9783031341465