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Parasoft C/C++test is an integrated set of tools for testing C and C++ source code that software developers use to analyze, test, find defects, and measure the quality and security of their applications.
Unit test generator for C/C++ libraries. Can automatically generate reasonable input data for every API function. Automated Testing Framework: 2007 [33] [34] BSD: Originally developed for the NetBSD operating system but works well in most Unix-like platforms. Ability to install tests as part of a release. BDD-for-C: Yes [35] MIT
Arm MAP, a performance profiler supporting Linux platforms.; AppDynamics, an application performance management solution [buzzword] for C/C++ applications via SDK.; AQtime Pro, a performance profiler and memory allocation debugger that can be integrated into Microsoft Visual Studio, and Embarcadero RAD Studio, or can run as a stand-alone application.
C, C++ — — — — — Formerly PRQA QA·C and QA·C++, deep static analysis of C/C++ for quality assurance and guideline/coding standard enforcement with MISRA support. Infer Static Analyzer: 2024-06-21 (1.2.0) Yes; MIT — C, C++, Objective-C Java — — — — Targets null pointer problems, leaks, concurrency issues and API usage for ...
CppUnit is a unit testing framework module for the C++ programming language. It allows unit-testing of C sources as well as C++ with minimal source modification. It was started around 2000 by Michael Feathers as a C++ port of JUnit for Windows and ported to Unix by Jerome Lacoste. [2] The library is released under the GNU Lesser General Public ...
Google Test can be compiled for a diverse range of computer systems, encompassing those employing POSIX, a set of standard operating system interfaces, as well as the Microsoft Windows platform. This adaptability facilitates the execution of unit tests on both C and C++ codebases, with minimal alterations required in the source code [citation ...
Modern C++ compilers are tuned to minimize abstraction penalties arising from heavy use of the STL. The STL was created as the first library of generic algorithms and data structures for C++, with four ideas in mind: generic programming, abstractness without loss of efficiency, the Von Neumann computation model, [2] and value semantics.
In software engineering, code coverage, also called test coverage, is a percentage measure of the degree to which the source code of a program is executed when a particular test suite is run. A program with high code coverage has more of its source code executed during testing, which suggests it has a lower chance of containing undetected ...