Research On a Framework for Generating and Maintaining Automated Drawline Syntax Trees for Complex Programming Languages

Procedia Computer Science Pub Date : 2026-01-01 Epub Date: 2026-05-30 DOI:10.1016/j.procs.2026.03.251
Boyang Liu
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引用次数: 0

Abstract

In the development of modern programming languages, how to efficiently generate and maintain abstract syntax trees (AST) is the key to improve the ability of program design and optimization. Abstract syntax trees not only play a core role in compilers, but also are widely used in code refactoring, performance analysis and other automation fields. With the popularity of multi-core processors, concurrent programming has become an important means to improve performance, and the choice of threading mechanism is very important to the efficiency and maintainability of programs. Therefore, it is of practical significance to design a framework for automatically generating and maintaining abstract syntax trees to help code optimization. This paper proposes an automatic abstract syntax tree generation and maintenance framework for multithreading in Java language. It uses static code analysis to transform and optimize the thread model, especially in the process of migrating traditional thread model to efficient thread pool framework. The framework automatically completes code refactoring and performance improvement by parsing program structure layer by layer. Through the experimental evaluation in Eclipse environment, the results show that the framework can quickly complete the transformation of thread mechanism, significantly improve the efficiency of concurrent program development, optimize the performance and maintainability of programs, and provide a new idea of parallel programming in multi-core processor environment.
复杂编程语言自动拖线语法树生成与维护框架研究
在现代程序设计语言的发展中,如何高效地生成和维护抽象语法树(AST)是提高程序设计和优化能力的关键。抽象语法树不仅在编译器中起着核心作用,而且在代码重构、性能分析等自动化领域也有广泛的应用。随着多核处理器的普及,并发编程已成为提高性能的重要手段,而线程机制的选择对程序的效率和可维护性至关重要。因此,设计一个能够自动生成和维护抽象语法树的框架,以帮助代码优化,具有重要的现实意义。提出了一种基于Java语言的多线程抽象语法树自动生成与维护框架。它利用静态代码分析对线程模型进行转换和优化,特别是在将传统线程模型迁移到高效线程池框架的过程中。该框架通过逐层解析程序结构,自动完成代码重构和性能提升。通过在Eclipse环境下的实验评估,结果表明该框架能够快速完成线程机制的转换,显著提高了并发程序开发的效率,优化了程序的性能和可维护性,为多核处理器环境下的并行编程提供了新的思路。
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CiteScore
4.50
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