Search Results for "static code analysis"

ParTools allows the interactive analysis of a C program execution profile and data dependencies to facilitate the discovery and selection of suitable parallelization candidates in a manual parallelization process. The flow does not assume any specific parallelization technique, thus it can be broadly applied. The original (serial) C source is automatically annotated to trace the execution profile and data dependencies at run-time. The annotated program is then executed using a...

Shiny is a lightning fast, fully documented & by-far-easiest-to-use C/C++/Lua profiler with no extensive surgery. Results are smoothed & shown in run-time as a call-tree or sorted-by-time. Output also renderable as graphs in Ogre3D or your custom engine

A collection of library code and tools for application execution profiling and performance testing. You can create stopwatches to time select portions of your code. You can measure differences (often to sub-millisecond accuracy) between clocks on different machines. You can log application events in a .csv format for subsequent analysis. You can also generate CPU loading logs in a .csv format.

Note: this tool has moved to github, this repository is not maintained any more. See https://github.com/turdusmerula/ftrace GScopeLog is a tool for instrumenting c++ code through gcc. The main purpose is to trace entry/exit point of functions. A status file may be generated to give overview of functions calls and timing informations with minimal impact on performances.

smem-map is a tool used to profile a process's virtual memory to identify address ranges who's contents remain static.

This profiler (JRE 1.5.0 only) uses JVMTI and native bytecode instrumentation for the analysis of the heap, reachable objects, execution time, garbage collection efficiency, code coverage and thread contention. No preparation steps required in build.

CQSAT is a powerful, comprehensive and extensible framework for static analysis of program source code and detection of software defects.