博客
关于我
源码阅读:采用JD-X插件开发过程中查看源码
阅读量:165 次
发布时间:2019-02-28

本文共 2075 字,大约阅读时间需要 6 分钟。

Java Decompiler Project: Tools for Java Bytecode Analysis

The Java Decompiler project focuses on developing tools to decompile and analyze Java 5 bytecode and later versions. At the core of this initiative is JD-Core, a library designed to reconstruct Java source code from one or more .class files. This tool is particularly useful for recovering lost source code and exploring the internals of Java runtime libraries, supporting newer Java features such as annotations, generics, and enums.

JD-GUI: Graphical Java Source Viewer

JD-GUI is a standalone graphical utility that displays reconstructed Java source code from .class files. This tool provides an intuitive interface for browsing decompiled code, making it easy to access methods, fields, and other code elements. The application is equipped with features that facilitate instant navigation and analysis.

JD-Eclipse: Eclipse Plug-In for Java Source Display

JD-Eclipse is a plug-in for the Eclipse platform, designed to enhance the debugging experience by displaying Java source code during the debugging process. Even when source files are unavailable, this tool ensures that developers have access to the necessary code, streamlining the debugging workflow.

JD-IntelliJ: IntelliJ IDEA Plug-In

JD-IntelliJ is an ongoing project initiated by Brice Dutheil, focusing on creating a plug-in for IntelliJ IDEA. Similar to JD-Eclipse, this tool aims to display Java sources during debugging, even when they are not readily available. The project is currently in development, with source code hosted on a specific platform. Contributions from the community are welcome.

Open Source and Collaboration

All core projects such as JD-Core, JD-GUI, and JD-Eclipse are open-source initiatives released under the GPLv3 License. These projects emphasize collaboration and transparency, inviting developers to participate in their growth and evolution.


This article provides a comprehensive overview of the Java Decompiler project's tools and their functionalities, ensuring clear and structured information for technical audiences.

转载地址:http://sexj.baihongyu.com/

你可能感兴趣的文章
Numpy多项式.Polynomial.fit()给出的系数与多项式.Polyfit()不同
查看>>
Numpy如何使用np.umprod重写range函数中i的python
查看>>
numpy学习笔记3-array切片
查看>>
numpy数组替换其中的值(如1替换为255)
查看>>
numpy数组索引-ChatGPT4o作答
查看>>
numpy最大值和最大值索引
查看>>
NUMPY矢量化np.prod不能构造具有超过32个操作数的ufunc
查看>>
Numpy矩阵与通用函数
查看>>
numpy绘制热力图
查看>>
numpy转PIL 报错TypeError: Cannot handle this data type
查看>>
Numpy闯关100题,我闯了95关,你呢?
查看>>