PMD - Source Code Analyzer 7.6.0

PMD - Source Code Analyzer for MacOS Download (Latest 2024) - FileCR

Free download PMD - Source Code Analyzer for MacOS Latest Offline Installer - An extensible multilanguage static code analyzer.

Screenshot
Screenshot

Free Download of PMD Source Code Analyzer, the latest standalone offline installer for macOS. It is an extensible multilanguage static code analyzer.

Overview of PMD - Source Code Analyzer for macOS

It is a powerful, extensible, multilanguage static code analyzer designed to detect common programming flaws across various languages. These issues include unused variables, empty catch blocks, and unnecessary object creation. While it primarily focuses on Java and Salesforce Apex, PMD supports 16 languages. It comes preloaded with over 400 built-in rules and offers flexibility, allowing users to create custom rules.

The tool employs JavaCC and Antlr to parse source files into abstract syntax trees (ASTs) and applies rules to identify violations. Developers can write rules in Java or use XPath queries, adding versatility. Supported languages include Java, JavaScript, Salesforce.com Apex and Visualforce, Kotlin, Swift, and many others, although some, like Scala, do not currently have specific rules available.

It also features CPD (Copy-Paste Detector), which detects duplicated code across numerous languages, including C, C++, Python, PHP, Ruby, and more. This capability allows developers to find redundant code, promoting cleaner and more efficient codebases across diverse projects.

Features of PMD - Source Code Analyzer for macOS

  • Unused Code Detection
    PMD scans your code to find variables, methods, and classes that are declared but never used, helping you clean up your codebase.
  • Empty Block Detection
    It identifies empty try-catch blocks, loops, and conditional blocks, often signs of unfinished code or logic errors.
  • Duplicate Code Detection
    PMD helps identify repeated code blocks, which can make your codebase more maintainable by encouraging code reuse.
  • Code Complexity Analysis
    The tool provides insights into the complexity of your code, helping you refactor and optimize performance for better readability and efficiency.
  • Customizable Rule Sets
    PMD allows you to create and customize your rules, tailoring the code analysis to your specific needs and coding standards.
  • Support for Multiple Languages
    It supports various programming languages, such as Java, JavaScript, XML, and more, making it a versatile tool for macOS developers.
  • Integrated Code Formatter
    The tool can automatically format your code according to style guidelines, ensuring project consistency.
  • Built-in Reports and Metrics
    PMD provides detailed reports and metrics that allow you to visualize the issues in your code and help you prioritize which issues to fix first.
  • Fast and Lightweight
    Despite its powerful capabilities, PMD is lightweight and runs efficiently on macOS, ensuring it ddoesn'tslow down your development process.

Technical Details and System Requirements

macOS 10.10 or later

Plugins

  • Maven PMD plugin
  • Gradle: The PMD Plugin
  • Eclipse plugin
  • NetBeans plugin
  • JBuilder plugin
  • JDeveloper plugin
  • IntelliJ IDEA plugin

FAQs

Q: What programming languages does PMD support?
A: It supports multiple languages, including Java, JavaScript, XML, and more.

Q: Can I customize the rules used by PMD?
A: It allows you to create and customize rules to fit your coding standards.

Q: Does It integrate with macOS development environments?
A: It integrates seamlessly with popular macOS IDEs, making it easy to use in your regular development workflow.

Q: How does PMD help improve code quality?
A: It improves code quality by identifying common issues such as unused code, empty blocks, and complex code, making it easier to maintain and optimize your projects.

Previous version

date
Additional info
downloads
File Name:pmd-dist-7.5.0-bin.zip
Version:7.5.0
File Name:pmd-dist-7.4.0-bin.zip
Version:7.4.0

Comments

Leave a comment

Your email address will not be published. Required fields are marked *