4 projects tagged "code analysis"
Updated 22 Apr 2013
CodeQuery
| Pop | 252.11 |
|---|---|
| Vit | 4.23 |
CodeQuery is a tool for indexing and then querying or searching C, C++, Java, and Python 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.
Updated 23 Dec 2012
coccigrep
| Pop | 140.52 |
|---|---|
| Vit | 8.76 |
Coccigrep is a semantic grep for the C language. It can be used to find where in code files a given structure is used or where one of its attributes is used, set, or used in a test.
Updated 23 Jul 2011
pycdep
| Pop | 40.25 |
|---|---|
| Vit | 1.47 |
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.
Updated 01 Aug 2009
Source Code Counter
| Pop | 28.53 |
|---|---|
| Vit | 37.30 |
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.
