cppclean attempts to find problems in C++ source that slow development in large code bases, for example various forms of unused code. Unused code can be unused functions, methods, data members, types, etc to unnecessary #include directives. Unnecessary #includes can cause considerable extra compiles increasing the edit-compile-run cycle.

This is a fork of the original cppclean project. The original project home page, (which no longer contains code) is: https://code.google.com/p/cppclean/

• Find and print C++ language constructs: classes, methods, functions, etc.
• Find classes with virtual methods, no virtual destructor, and no bases
• Find global/static data that are potential problems when using threads
• Unnecessary forward class declarations
• Unnecessary function declarations
• Undeclared function definitions

• Find unnecessary header files #included

  • No direct reference to anything in the header
  • Header is unnecessary if classes were forward declared instead

• (planned) Source files that reference headers not directly #included, ie, files that rely on a transitive #include from another header
• (planned) Unused members (private, protected, & public) methods and data

AST is Abstract Syntax Tree, a representation of parsed source code. http://en.wikipedia.org/wiki/Abstract_syntax_tree

$ pip install --upgrade cppclean

$ cppclean <path>

Multiple include paths can be specified:

$ cppclean --include-path=directory1 --include-path=directory2 <path>

The parser works pretty well for header files, parsing about 99% of Google's header files. Anything which inspects structure of C++ source files should work reasonably well. Function bodies are not transformed to an AST, but left as tokens.

• Parsing all valid C++ source
• Handling invalid C++ source gracefully
• Compiling to machine code (or anything beyond an AST)