Open Source Solaris Source Code Analysis Tools

Source Code Analysis Tools for Solaris

Browse free open source Source Code Analysis tools and projects for Solaris 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

    cline

    Command line tool for counting source code lines

    cline is a command line tool that counts code lines or non-whitespace characters in your project folder. It is designed to recursively find any source file matching specific rules and count the line breaks within that file. You may specify file suffixes to include or exclude as well as regular expressions for code lines that shall be excluded (e.g. to exclude comments). By default a heuristic algorithm skips binary files. You may configure the restrictiveness of this algorithm with command line options.
    Downloads: 7 This Week
    Last Update:
    See Project
  • 2
    DEEEP

    DEEEP

    Detector of Integer Vulnerabilities in Software Portability

    DEEEP is a open source static analysis tool to detect, in C programs, integer vulnerabilities caused by the bad adaption of aplications from ILP32 to LP64. It uses the tools Lint and Splint, and runs over Open Solaris and Linux operating systems. This tool semantically analyses source code. More precisely, it does type checking, data-flow analysis, and it automatically correlates the results of these two types of analysis. Type checking is used for finding bugs on the way integers are handled, and data-flow analysis is used to see if hazardous functions (eg. memcpy, strcpy) are accessible from outside the program. After this two analyses, the tool correlates the results from the previous phases to attain if the data that comes from the inputs are affected by vulnerabilities from porting to LP64, and if these are handled by dangerous functions (memcpy, strcpy,...). In resume, identify if the found bugs
    Downloads: 0 This Week
    Last Update:
    See Project
  • 3
    DiffReport

    DiffReport

    Code Difference report

    Often I have seen some Huge Maintenance Projects it is always very difficult to track the incremental files for each release and If we want to do that we need to checkout both the branches and use some UI based tool to get the diff of the files finally we end up waiting in front of the PC for a long time and do this job. In many cases we spend more than 2 hrs/day. The time increases if there are more such parallel releases and at the end of the day 1 developer does it as full time job and has zero productivity. I thought of adding value here. This just gets the diff files. Can be used for Static code analysis like PMD to do PMD only for the delta. The current status of the project is in Development". If you wish to add something please mail me.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 4
    This package will allow people to check, change, update the license of their projects. It will conform to all new licenses available.
    Downloads: 0 This Week
    Last Update:
    See Project
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  • 5
    Counts the Lines of Code for any type of source file (Java, C/C++), given the single line comment and muli line comment (configurable)
    Downloads: 0 This Week
    Last Update:
    See Project
  • 6
    Downloads: 0 This Week
    Last Update:
    See Project
  • 7
    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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