Open Source Linux Source Code Analysis Tools

Some software measures are still not widely used in industry, despite the fact that they were defined many years ago, and some additional insights might be gained by revisiting them today with the benefit of recent lessons learned about how to analyze their design. This project analyzes the design and definitions of Halstead’s metrics, the set of which is commonly referred to as ‘software science’. This analysis is based on a measurement analysis framework defined to structure, compare, analyze and provide an understanding of the various measurement approaches presented in the software engineering measurement literature.

R Unit test framework R functions implementing a standard Unit Testing framework, with additional code inspection and report generation tools

Java library to parse GNU Makefiles. The source code is available from SVN. The latest revision should be in trunk, the latest "stable" release should be in branch.

The 'pysourceinfo' package provides source information on Python runtime objects based on 'inspect', 'sys', 'os', and 'imp'. The covered objects include packages, modules, functions, methods, scripts, and classes by two views: - File System View - packages, modules, and linenumbers - based on files and paths - Runtime Object View - callables, classes, and containers - based on in-memory RTTI / introspection The supported platforms are: - Linux, BSD, Unix, OS-X, Cygwin, and Windows - Python2, Python3 - CPython, PyPy Object addresses within modules - Object Identifier OID - and the display of the runtime call flow are supported by 'PyStackInfo'. Online documents: https://pysourceinfo.sourceforge.io/