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OWLAND is an automated testing framework for description logic reasoners. It supports both ABox and TBox reasoning methods and is capable of running fully automated tests with any ontology and number of currently available reasoners.
Performance and load testing framework. We aim to create a testing tool for web applications that can simulate large numbers of concurrent users without mucking around with threads, and thus allow us to perform rate-based testing.
MTCC (Model-Driven
Test Case Construction) in an approach to the construction of acceptance tests by domain experts for testing system families based on feature models. MTCC is applied to the application domain of Digital Libraries.
MongoDB Atlas is the developer-friendly database used to build, scale, and run gen AI and LLM-powered apps—without needing a separate vector database. Atlas offers built-in vector search, global availability across 115+ regions, and flexible document modeling. Start building AI apps faster, all in one place.
FTF (for Flexible Testing Framework) is a modular framework for testing, both automatic and manual, and quality assurance. FTF initial development has been done in the EDOS project, to support Linux distributions testing.
Jungletest is an system for automated testing of OpenOffice.org against a large set of documents. Currently, tests determine whether OOo will crash or hang when loading, scrolling through, or exporting the document.
CxxTestNg is a JUnit/CppUnit/xUnit-like framework for C/C++. It does not require RTTI, exception handling, or any external libraries. It is only a set of header files (and a python script) that are easy to integrate into an existing project.
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