Open Source Windows Source Code Analysis Tools

Browse free open source Source Code Analysis tools and projects for Windows below. Use the toggles on the left to filter open source Source Code Analysis tools by OS, license, language, programming language, and project status.

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  • 1
    Discover is an analysis tool that allows to measure how thoroughly Delphi programs have been tested. It shows interactively and directly in the source code which code sequences have been executed at least once and which have never been executed.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 2
    Halstead Metrics Tool

    Halstead Metrics Tool

    Software Metrics Analyzer for C,C++,Java Programs

    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.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 3
    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.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 4
    R Unit test framework R functions implementing a standard Unit Testing framework, with additional code inspection and report generation tools
    Downloads: 0 This Week
    Last Update:
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  • 5
    pysourceinfo

    pysourceinfo

    RTTI for Python Source and Binary Files

    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/
    Downloads: 0 This Week
    Last Update:
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