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: 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)