Showing results: 1 - 5 of 5 items found.
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Tessy -
Razorcat Development GmbH
TESSY automates the whole unit test cycle including regression testing for your embedded software in C/C++ on different target systems. As an easy-to-install and easy to operate testing tool TESSY guides you through the unit test workflow from the project setup through the test design and execution to the result analysis and reporting. TESSY takes additionally care of the complete test organization as well as the test management, including requirements, coverage measurement, and traceability.
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ITE -
Razorcat Development GmbH
The Integrated Test Environment (ITE) is our solution to handle complex hardware or software test projects.ITE provides features to define and manage requirements and test cases in different documents, link them with each other as well as plan tests and test campaigns. Moreover the tests can be developed, executed and evaluated by considering the linked requirements. Test results can additionally be recorded and finally reported in different, adaptable and configurable reports.
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TOP -
Razorcat Development GmbH
TOP/TRM provide a multi user test run management for your system test bench: Comfortably create tests, run test batches and review results. The execution queue schedules all tests and also allows prioritized single user access.
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CTE -
Razorcat Development GmbH
The Classification Tree Editor (CTE) is a graphical editor which by means of the Classification Tree Method is used to transform a (functional) specification into a set of test cases.
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CCDL -
Razorcat Development GmbH
CCDL is a test specification language that provides a dedicated high-level and easy to learn test language for powerful requirements based system testing. The fully automated test execution and evaluation shortens testing cycles and reduces required manpower. The intuitively readable CCDL test specification reduces documentation effort and the test execution flow visualization reveals the dynamic behavior of the system under test (SUT) and clearly spots any deviations against the expected results.