Search Results for "ttcn"
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Showing 5 open source projects for "ttcn"
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Gen AI apps are built with MongoDB AtlasMongoDB 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.
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Yeastar: Business Phone System and Unified CommunicationsUser-friendly, optimized, and scalable, the Yeastar P-Series Phone System redefines business connectivity by bringing together calling, meetings, omnichannel messaging, and integrations in one simple platform—removing the limitations of distance, platforms, and systems.
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Release 1 of BroadBit Test Tool (BTT) offers the power and efficiency of TTCN testing; all software testing engineers can add this platform independent tool it into their toolbox. Training support is available through training@broadbit.com.
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The UCM Scenario Exporter allows you to export your UCM scenarios from XML (as generated by the UCMNav tool) to UML sequence diagrams conforming to the XMI standard. The UCM Scenario Exporter also incorporates the functionality to generate TTCN and MSC f
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iTTCP means "integrated TTCP". The project integrates the TTCP compiler into Eclipse environment and allows so developing and running testcases, specified in TTCN-3 language.
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The only CRM built for B2CKlaviyo unifies your customer profiles by capturing every event, and then lets you orchestrate your email marketing, SMS marketing, push notifications, WhatsApp, and RCS campaigns in one place. Klaviyo AI helps you build audiences, write copy, and optimize — so you can always send the right message at the right time, automatically. With real-time attribution and insights, you'll be able to make smarter, faster decisions that drive ROI.
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Testerman
A TTCN-3-inspired testing environment in Python
Testerman is an attempt to produce a TTCN-3 inspired test automation system without the strict typing model of the TTCN-3 test control notation that can be too heavy to be practical with non-stricly defined protocols. This is achieved by bringing TTCN-3 primitives and concepts to the Python programming language. It provides a complete environment to design, manage, execute and analyze automated tests, and can be used as a platform to develop test simulators (drivers and stubs) and prototypes of network applications.
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