Telelogic and LDRA invite you to join us for this on-line Webinar where
you will see how productivity and quality can be dramatically improved with model-driven
development and early error detection.
You will learn how MDD and the LDRA analysis tools can benefit
you in the following ways
- Developing a clear, validated, architectural and behavioural description
using the Unified Modeling Language (UML)
- Automating Design, Code and Quality Reviews
- Fast generation of production quality C and C++ code from the UML model
- Determine standards compliance (eg: MISRA C / MISRA-C:2004 and DO-178B)
with Static and Dynamic Analysis
- Automated Unit Testing
- Requirements-based validation through execution of the model
- Rapid error correction with bidirectional link to the UML model
Telelogic Rhapsody® is the industry's leading UMLR 2.1 and OMG SysML™ based Model Driven Development™ environment for technical, real-time or
embedded systems and software engineering. With the advanced capability to extend UML 2.1, Rhapsody allows both function-oriented and object-oriented design techniques to co-exist
in one environment.
LDRA is the leading provider of automated software testing and analysis tools
for the embedded market place. LDRA provides a unique testing platform that helps teams accelerate
testing embedded systems and deliver safe and mission critical software on time. Automated Unit
Testing, Code Coverage Analysis, Code Review, Quality Review, Design Review and Test Requirement
Tracking are key solutions for developers/testers to overcome the challenges of testing embedded
software and manage test requirement traceability. The LDRA tool suite supports C/C++, Ada 83/95 and Assemblers.
If you have attended one of our other technology Webinars you will
see that we try and focus each Webinar on a specific area of interest. In this case, early
error detection is the primary focus point.
Who Should Attend?
- Engineering Managers
- Software Engineers
- Software Quality
- Test Engineers
Webinar Schedule
Currently being finalised
Registering for Webinar
For further information on the Webinar please email .
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