Results 251 to 260 of about 100,345 (312)

Recursive Descent Parser for Abstract Syntax Tree Visualization of Mathematical Expressions

2023 7th International Conference on Computation System and Information Technology for Sustainable Solutions (CSITSS), 2023
This study presents a novel method for finding and evaluating mathematical expressions using Abstract Syntax Trees (AST). The approach is particularly adaptable for both academic and professional applications since it accurately parses complex equations ...
Shiva Teja Pecheti, Basavadeepthi H M, Nithin Kodurupaka, Meena Belwal   +3 more
semanticscholar   +1 more source

Blockchain Based Abstract Syntax Tree to Detect Vulnerability in IOT-Enabled Smart Contract

2023 Second International Conference On Smart Technologies For Smart Nation (SmartTechCon), 2023
As blockchain technology and the Internet of Things (IoT) have advanced, smart contracts have found new uses in many industries. Ethereum has become the go-to system for smart contract development.
Dr. Amit Mittal, Gunawan Widjaja, Renzon Daniel, Cosme Pecho, R. Kiruba, J. Marino, Falcón Roque, Dr Alok Chandra   +7 more
semanticscholar   +1 more source

Hierarchical Abstract Syntax Tree Representation Learning Based on Graph Coarsening for Program Classification

International Conference on Data Science in Cyberspace, 2023
Syntax Tree (AST) is a graph structure obtained from code syntax analysis whose representation has recently played an increasingly important role in program classification.
Yizu Yang, Yuzhang Lee, Zeyu He, Chunlu Wang   +3 more
semanticscholar   +1 more source

Cross-Language Code Clone Detection Using Abstract Syntax Tree and Graph Neural Network

International Conferences on Computing Advancements, 2023
Code clones refer to code fragments that have similar functionality but may differ in syntax. When code duplication occurs, it can pose challenges during system maintenance and necessitate fixing errors in multiple locations.
Zeina Swilam, Abeer Hamdy, Andreas Pester   +2 more
semanticscholar   +1 more source

A Novel Neural Source Code Representation Based on Abstract Syntax Tree

International Conference on Software Engineering, 2019
Exploiting machine learning techniques for analyzing programs has attracted much attention. One key problem is how to represent code fragments well for follow-up analysis.
Jian Zhang, Xu Wang, Hongyu Zhang, Hailong Sun, Kaixuan Wang, Xudong Liu   +5 more
semanticscholar   +1 more source

Improving the performance of code vulnerability prediction using abstract syntax tree information

International Conference on Predictive Models in Software Engineering, 2022
The recent emergence of the Log4jshell vulnerability demonstrates the importance of detecting code vulnerabilities in software systems. Software Vulnerability Prediction Models (VPMs) are a promising tool for vulnerability detection.
Fahad Al Debeyan, T. Hall, David Bowes
semanticscholar   +1 more source

Simplified abstract syntax tree based semantic features learning for software change prediction

J. Softw. Evol. Process., 2022
Software change prediction aims to identify the change‐prone parts of source code, which can help software practitioners allocate resources more efficiently, increase the quality of software products, and reduce maintenance costs.
Xinyue Yang, Xiaofang Zhang, Yao Tong
semanticscholar   +1 more source

Clone detection using abstract syntax trees

Proceedings. International Conference on Software Maintenance (Cat. No. 98CB36272), 2002
Existing research suggests that a considerable fraction (5-10%) of the source code of large scale computer programs is duplicate code ("clones"). Detection and removal of such clones promises decreased software maintenance costs of possibly the same magnitude. Previous work was limited to detection of either near misses differing only in single lexems,
I.D. Baxter, A. Yahin, L. Moura, M. Sant'Anna, L. Bier   +4 more
openaire   +1 more source

AI-assisted programming question generation: Constructing semantic networks of programming knowledge by local knowledge graph and abstract syntax tree

Journal of Research on Technology in Education, 2022
Creating practice questions for programming learning is not an easy job. It requires the instructor to diligently organize heterogeneous learning resources.
Cheng-Yu Chung, I-Han Hsiao, Yi-Ling Lin
semanticscholar   +1 more source

Source Code Plagiarism Detection Based on Abstract Syntax Tree Fingerprintings

2022 17th International Joint Symposium on Artificial Intelligence and Natural Language Processing (iSAI-NLP), 2022
Syntax Tree (AST) is an abstract logical structure of source code represented as a tree. This research utilizes information of fingerprinting with AST to locate the similarities between source codes.
V. Suttichaya, Niracha Eakvorachai, Tunchanok Lurkraisit   +2 more
semanticscholar   +1 more source