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Gen AI apps are built with MongoDB Atlas
Build gen AI apps with an all-in-one modern database: MongoDB Atlas
MongoDB Atlas provides built-in vector search and a flexible document model so developers can build, scale, and run gen AI apps without stitching together multiple databases. From LLM integration to semantic search, Atlas simplifies your AI architecture—and it’s free to get started.
Multiplatform data-driven test automation execution services
SAFS is a software test automationframework supporting data-driven (aka keyword-driven) functional test automation and associated services.
The framework can run stand-alone on Windows, Linux, and Mac as well as integrate the use of IBM Rational Functional Tester, IBM Rational Robot, Smart Bear/AutomatedQA Test Complete, Apple XCode UIAutomation, Android SDK Automaton, Thoughtworks Selenium, and several other tools.
The Software Testing Automation Framework (STAF) is a framework designed to improve the level of reuse and automation in test cases and test environments. The goal of STAF is to provide a complete end-to-end automation solution for testers.
A model-based test automation framework for GUI applications
This framework supports a wide variety of model-based GUI testing techniques. The innovation lies in the architecture of GUITAR, which uses plug-ins to support flexibility and extensibility. Software developers and quality assurance engineers may use this architecture to create new toolchains, new workflows based on the toolchains, and plug in a variety of measurement tools to conduct GUI testing.
More detail is presented in this publication:
GUITAR: An Innovative Tool for Automated...
aim is to provide support for monitoring system behaviour through dynamic analysis, and for analysing and modeling this data for a better understanding of system behaviour and for test automation
Currently, all existing formal tools are designed to serve as formal verifiers, using one implementation or another. JTLV is a new tool aimed to facilitate and provide a unified framework to the development of formal verification algorithms.
Currently, all existing formal tools are designed to serve as formal verifiers, using one implementation or another. NO tool is providing a global framework to develop algorithms.
Silicis is a new formal framework for designing [verification] algorithms.