CodeQuery is a tool for indexing and then querying or searching C, C++, Java, Python, Ruby, and Go source code. It builds upon the databases of cscope and ctags, which are processed by the cqmakedb tool to generate a CodeQuery database file. This can be viewed and queried with a GUI tool. The features include auto-completion of search terms and visualization of function call graphs and class inheritance. The following queries can be made: Symbol, Function or macro, Class or struct, Functions calling this function, Functions called by this function, Class which owns this member or method, Members and methods of this class, Parent of this class (inheritance), Children of this class (inheritance), Files including this file, and Full path for file.
pycdep is a tool for analyzing and visualizing C/C++ header file dependencies. A script extracts information about your code and dumps it in a Prolog database, which is used to query the dependency graph. It comes with a large number of predefined queries for finding out which files include or depend on which other files, how files depend on another file, circular dependencies, transitively implied dependencies, and design rule checks (limitations on which project can include from which other project). Visualization is supported by dumping graphs to .dot files. It also has the beginnings of a natural language interface.
xRecurseDiff is a small program that can rapidly traverse entire directory trees to show the differences between different copies of the same file. It can be useful for code analysis, expecially for collaborative development. For example, it can analyze differences before a CVS/SVN submission or to resolve a conflict in concurrent editing.
SCC is a cross-platform tool that counts the number of lines in source code files. It features a GUI that gives the user complete control over which files are processed. Blank lines are counted separately from lines containing source code statements. Configurable regular expressions can be applied to count parts of source code files separately. Regular expressions are applied according to a file type rather than to all files. It can process any textual source code file, includingJava, C/C++/C#, Perl, Python, PHP, Ruby, and TCL. The line count is split between blank, counted, and remaining lines. Results and summaries can be exported to a CSV file for further processing.
Squale (Software QUALity Enhancement) provides models and associated tools to assess software quality and help improve it over time. Its models and tools know how to aggregate raw quality information (such as metrics) given by third party technologies into high-level factors, offer dashboards which present those factors and allow digging deeply into the code quality, show the evolution of quality over time, and give economical indicators about the return on investment of quality efforts.