Výsledky vyhledávání - JavaScript code mining*

Mining Rule Violations in JavaScript Code Snippets

Autoři: Uriel Campos Guilherme Smethurst João Pedro Moraes a další

Zdroj: 2019 IEEE/ACM 16th International Conference on Mining Software Repositories (MSR). :195-199

Témata: 0103 physical sciences, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 01 natural sciences

JACLNet:Application of adaptive code length network in JavaScript malicious code detection.

Autoři: Zhang, Zhining Wan, Liang Chu, Kun a další

Zdroj: PLoS ONE; 12/14/2022, Vol. 17 Issue 12, p1-27, 27p

Témata: DEEP learning, JAVASCRIPT programming language, LINEAR network coding, FEATURE extraction, DATA mining, INFORMATION modeling, SYNTAX (Grammar)

Unveiling Web Fingerprinting in the Wild Via Code Mining and Machine Learning

Autoři: Valentino Rizzo Stefano Traverso Marco Mellia

Zdroj: Proceedings on Privacy Enhancing Technologies

Témata: Innovation action, EC, H2020, 0202 electrical engineering, electronic engineering, information engineering, Aerospace Engineering, 02 engineering and technology, European Commission, Tracking, Fingerprinting, Machine Learning, Static Code Analysis, Dynamic Code Analysis

Popis souboru: application/pdf

Přístupová URL adresa: https://www.sciendo.com/pdf/10.2478/popets-2021-0004
https://content.sciendo.com/view/journals/popets/2021/1/article-p43.xml
https://doi.org/10.2478/popets-2021-0004
https://hdl.handle.net/11583/2852687
https://www.openaccessrepository.it/record/118319

An Investigation of confusing code patterns in JavaScript

Autoři: Torres, Adriano Oliveira, Caio Okimoto, Márcio a další

Zdroj: Journal of Systems and Software vol.203 (2023) [ISSN 0164-1212]

Témata: Atoms of confusion, JavaScript code, Program comprehension, Program understanding, Software maintenance, Article

URL: https://research-portal.uu.nl/en/publications/36e26767-dfe4-4a6c-9234-f341f7a879bd
https://dspace.library.uu.nl/bitstream/handle/1874/431585/1-s2.0-S0164121223001267-main.pdf?sequence=1
https://dspace.library.uu.nl/bitstream/handle/1874/431585/1-s2.0-S0164121223001267-main.pdf?sequence=1

An Empirical Study on Rule Violation History of JavaScript Code Blocks on Stack Overflow.

Autoři: Kim, Jungil Lee, Eunjoo

Zdroj: International Journal of Software Engineering & Knowledge Engineering; May2022, Vol. 32 Issue 5, p693-712, 20p

Témata: BLOCK codes, EMPIRICAL research, JAVASCRIPT programming language, QUANTITATIVE research

MinerGate: A Novel Generic and Accurate Defense Solution Against Web Based Cryptocurrency Mining Attacks

Autoři: Guorui Yu Guang Yang Tongxin Li a další

Zdroj: Communications in Computer and Information Science ISBN: 9789813349216

Témata: FOS: Computer and information sciences, JavaScript, Cryptocurrency, IoT Security, Computer Networks and Communications, Set (abstract data type), Phishing, 7. Clean energy, Detection and Prevention of Phishing Attacks, Characterization and Detection of Android Malware, Android (operating system), Computer security, Code (set theory), Computer science, Intrusion Detection, Programming language, 3. Good health, World Wide Web, Operating system, Signal Processing, Computer Science, Physical Sciences, Network Intrusion Detection and Defense Mechanisms, Security Analysis, Web application, Correctness, Information Systems

Přístupová URL adresa: https://link.springer.com/content/pdf/10.1007%2F978-981-33-4922-3_5.pdf

Demystifying React Native Android Apps for Static Analysis.

Autoři: Liu, Yonghui Chen, Xiao Liu, Pei a další

Zdroj: ACM Transactions on Software Engineering & Methodology; May2025, Vol. 34 Issue 4, p1-33, 33p

Témata: MOBILE app development, JAVASCRIPT programming language, COMPILERS (Computer programs)

Time Present and Time Past: Analyzing the Evolution of JavaScript Code in the Wild

Autoři: Dimitris Mitropoulos Panos Louridas Vitalis Salis a další

Zdroj: 2019 IEEE/ACM 16th International Conference on Mining Software Repositories (MSR)

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

Understanding the adoption of modern Javascript features: an empirical study on open-source systems

Autoři: Lucas, Walter Nunes, Rafael Bonifácio, Rodrigo a další

Přispěvatelé: Lucas, Walter Nunes, Rafael Bonifácio, Rodrigo a další

Témata: Software evolution, Software engineering, Software maintenance, Source code rejuvenation, Mining software repositories

Popis souboru: application/pdf

Relation: 1382-3256

Dostupnost: https://hdl.handle.net/1822/95662

An Investigation of confusing code patterns in JavaScript

Autoři: Adriano Torres Caio Oliveira Márcio Vinicius Okimoto a další

Přispěvatelé: Adriano Torres Caio Oliveira Márcio Vinicius Okimoto a další

Zdroj: Journal of Systems and Software. 203:111731

Témata: Program comprehension, 0504 sociology, Hardware and Architecture, Taverne, 05 social sciences, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, Software maintenance, JavaScript code, Program understanding, Software, Information Systems, Atoms of confusion

Popis souboru: application/pdf

Přístupová URL adresa: https://dspace.library.uu.nl/handle/1874/431585

DEOBFUSCATING JAVASCRIPT CODE USING CHARACTER-BASED TOKENIZATION.

Autoři: SÎRBU, ALEXANDRU-GABRIEL

Zdroj: Studia Universitatis Babeş-Bolyai, Informatica; Jul-Dec2023, Vol. 68 Issue 2, p5-21, 17p

Témata: MACHINE learning, JAVASCRIPT programming language, RECURRENT neural networks, DEEP learning, SYNTAX (Grammar)

MinerGuard: A Solution to Detect Browser-Based Cryptocurrency Mining through Machine Learning.

Autoři: Wu, Min-Hao Lai, Yen-Jung Hwang, Yan-Ling a další

Zdroj: Applied Sciences (2076-3417); Oct2022, Vol. 12 Issue 19, p9838, 22p

Témata: CRYPTOCURRENCY mining, MACHINE learning, CRYPTOCURRENCIES, WEBSITES, WEB browsing

Relationship-Aware Code Search for JavaScript Frameworks

Autoři: Li, Xuan Wang, Zerui Wang, Qianxiang a další

Přispěvatelé: Li, Xuan Wang, Zerui Wang, Qianxiang a další

Zdroj: SCI

Témata: Code search, JavaScript code mining, natural language processing

Relation: 1534443; http://hdl.handle.net/20.500.11897/459857; WOS:000391133400063

Dostupnost: https://hdl.handle.net/20.500.11897/459857
https://doi.org/10.1145/2950290.2950341

Aplicação de algoritmos de agrupamento para descoberta de padrões de defeito em software JavaScript

Application of clustering algorithms for discovering bug patterns in JavaScript software

Autoři: Macedo, Charles Mendes de

Thesis Advisors: Delgado, Karina Valdivia

Témata: Aprendizado computacional, Data Mining, Descoberta de defeitos, Discovery of bug, Engenharia de software, JavaScript, Machine learning, Mineração de dados, Pattern recognition, Qualidade de software, Reconhecimento de padrões, Software engineering, Software quality

Popis souboru: application/pdf

Dostupnost: http://www.teses.usp.br/teses/disponiveis/100/100131/tde-29012019-152129/

Mining HTML5 code: a view to how humans use emerging web standards

Autoři: Sotiris P. Christodoulou Giannis Tzimas Andreas Gizas a další

Zdroj: Proceedings of the 16th International Conference on Engineering Applications of Neural Networks (INNS). :1-6

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

Detection of Obfuscated Malicious JavaScript Code.

Autoři: Alazab, Ammar Khraisat, Ansam Alazab, Moutaz a další

Zdroj: Future Internet; Aug2022, Vol. 14 Issue 8, p217-N.PAG, 15p

Témata: JAVASCRIPT programming language, INTRUSION detection systems (Computer security), MACHINE learning, INTERNET users, CYBERTERRORISM, MALWARE, WEBSITES

GEE-OPs: an operator knowledge base for geospatial code generation on the Google Earth Engine platform powered by large language models

Autoři: Shuyang Hou Jianyuan Liang Anqi Zhao a další

Zdroj: Geo-spatial Information Science, Pp 1-22 (2025)

Témata: Geospatial operator knowledge base, Google Earth Engine, large language models, geospatial code generation, abstract syntax tree, Mathematical geography. Cartography, GA1-1776, Geodesy, QB275-343

Popis souboru: electronic resource

Relation: https://doaj.org/toc/1009-5020; https://doaj.org/toc/1993-5153

Přístupová URL adresa: https://doaj.org/article/8478afa08fe44d70bd9e62bdb253998d

A large-scale empirical study of code smells in JavaScript projects.

Autoři: Johannes, David Khomh, Foutse Antoniol, Giuliano

Zdroj: Software Quality Journal; Sep2019, Vol. 27 Issue 3, p1271-1314, 44p

Témata: JAVASCRIPT programming language, WEB development, PROGRAMMING languages, SURVIVAL analysis (Biometry), ODORS

Analysis and Identification of Malicious JavaScript Code.

Autoři: Fraiwan, Mohammad Al-Salman, Rami Khasawneh, Natheer a další

Zdroj: Information Security Journal: A Global Perspective; 2012, Vol. 21 Issue 1, p1-11, 11p

Témata: JAVASCRIPT programming language, MALWARE, SCRIPTING languages (Computer science), WEBSITES, PHISHING

A deep learning approach for detecting malicious JavaScript code.

Autoři: Wang, Yao Cai, Wan-dong Wei, Peng-cheng

Zdroj: Security & Communication Networks; 7/25/2016, Vol. 9 Issue 11, p1520-1534, 15p

Témata: JAVASCRIPT programming language, MACHINE learning, DATA transmission systems, LOGISTIC regression analysis