Question 1

How to set up pfff for Java code analysis?

Accepted Answer

Build pfff from source, then use tools like scheck by running './scheck -lang java /path/to/project' for bug finding. Ensure you have the Java parser enabled and refer to the wiki for configuration details.

Question 2

pfff vs Checkstyle for Java static analysis?

Accepted Answer

pfff offers multi-language support and style-preserving transformations, while Checkstyle is Java-specific with extensive rule sets. pfff is better for cross-language projects, but Checkstyle is more maintained and integrated for pure Java.

Question 3

How to use sgrep to find code patterns in PHP?

Accepted Answer

Run './sgrep -lang php -pattern 'your_pattern' file.php' to search for syntactical matches. You can define patterns in a file for complex queries, and it preserves code structure unlike regular grep.

Question 4

Does pfff work with Visual Studio Code?

Accepted Answer

No, pfff does not have built-in integration with VS Code. It provides command-line tools and GTK GUIs, so you'd need to build custom extensions or use it externally for analysis tasks.

Question 5

How to generate dependency graphs with pfff codegraph?

Accepted Answer

First, run './codegraph -lang cmt -build ~/project' to index dependencies, then './codegraph ~/project' to launch the GTK GUI. Ensure compiled files or source analysis is complete for accurate graphs.

Question 6

Is pfff suitable for large codebases?

Accepted Answer

Yes, tools like pfff_db perform global analysis and store metadata, enabling efficient querying. However, setup can be complex, and performance may vary with preliminary language support or outdated components.

Question 7

pfff or pylint for Python code?

Accepted Answer

pylint is Python-specific, actively maintained, and widely integrated, while pfff's Python support is preliminary. Use pfff only for cross-language analysis; for pure Python, pylint is more reliable and feature-rich.

pfff

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