Find problems in C++ source that slow development of large code bases.
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 at https://code.google.com/p/cppclean/.
cppclean finds the following:
AST is Abstract Syntax Tree, a representation of parsed source code (https://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.