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cppdep
performs dependency analysis
among components/packages/package groups of a large C/C++ project.
This is a rewrite of dep_utils(adep/cdep/ldep)
,
which is provided by John Lakos' book
"Large-Scale C++ Software Design", Addison Wesley (1996).
.. |logo| image:: logo.png
Limitations
- Indirect
extern
declarations of global variables or functions
instead of including the proper component header with the declarations.
- Embedded dynamic dependencies,
such as dynamic loading and configurable internal services.
- Preprocessing or macro expansion is not performed.
Dependency inclusion via preprocessor meta-programming is not handled.
- Dependency exclusion with C style multi-line comments or macros
is not respected.
Requirements
#. Python 2.7 or 3.4+
#. NetworkX <http://networkx.lanl.gov/>
_
#. pydot
#. pydotplus
#. PyYAML
#. PyKwalify 1.6.0+
The dependencies can be installed with pip
.
.. code-block:: bash
$ sudo pip install -r requirements.txt
Installation
From the source:
.. code-block:: bash
$ ./setup.py install
The latest stable release from PyPi:
.. code-block:: bash
$ pip install cppdep
Usage
Create a configuration file
that describes the project for analysis.
config_schema.yml
is given for guidance.
In the root directory of the project with the configuration file,
run the following command to generate dependency analysis reports and graphs.
.. code-block:: bash
$ cppdep -c /path/to/config/file
More documentation and example configurations
can be found in project wiki <https://github.com/rakhimov/cppdep/wiki>
_.
Acknowledgments
- John Lakos for inventing the analysis and providing
dep_utils
.
Zhichang Yu <https://github.com/yuzhichang>
_ for rewriting dep_utils
into Python.