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.
Free download PMD - Source Code Analyzer for MacOS Latest Offline Installer - An extensible multilanguage static code analyzer.
Free Download of PMD Source Code Analyzer, the latest standalone offline installer for macOS. It is an extensible multilanguage static code analyzer.
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.
macOS 10.10 or later
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.
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