Search Results for "test coverage"

Automation of Unit and System Tests. Tests can be implemented in any language and on many platforms. The flexible approach enables the inclusion of many types of tests, such as memory leak checks (using valgrind), coding rule checks, complexity checks, etc. Tests are run by a simple call to hwut in a base directory of a project. In particular for C, HWUT supports make file generation using 'sos' and 'sols' modes. Remote control-able function stubs may be generated using the 'stub' mode....

...Advanced cross browser test execution ability without changing Senuji test script 2. Advanced exception management capability during test run 3. Complete and durable logs and test reporting 4. Full video coverage of your test run 5. Easy installation (Just extract the archive file)

Cobertura is a free Java tool that calculates the percentage of code accessed by tests. It can be used to identify which parts of your Java program are lacking test coverage. It is based on jcoverage.

ggcov is a GTK+ GUI for exploring test coverage data produced by C programs compiled with gcc --coverage. It's basically a GUI replacement for the gcov program that comes with gcc.

CodeCover is a free glass box testing tool that measures statement, branch, loop, MC/DC, ?-operator, and sync- coverage. CodeCover supports coverage reports per each test case. Available languages: Java and COBOL.

Justus is a tool set for Progress 4GL (ABL) Developers. It includes a simplified parser for 4GL, an API to load Profiler data and a Test Coverage Tool.

Cobertura for J2ME is a test coverage analysis tool for the J2ME platform (CLDC1.1/MIDP2.0)

An eclipse plugin for code coverage visualization of JUnit Tests. Especially useful for test-first development. Supported coverages include block coverage and all-uses coverage (Data Flow Analysis).

Coberclipse is a eclipse plugin for Corbertura. It will instrument the classes during the build and show the code coverage after executing unit test cases.

HAMSTA solves the need of distributing different local test (automation) frameworks (like STAF,LTP etc.), with their integrated tests, towards extending the coverage of tested hardware configurations in a distributed and large scale computing environment

Measure how directly your classes are tested by JUnit. Unlike traditional code coverage tools, PEA considers and measures whether the code covered ran as a direct call from a test, or indirectly via chained calls.