BTC EmbeddedPlatform offers a complete MATLAB API that can be used to invoke basically any action that can be done in the user interface. The MATLAB API provides a very detailed level of access and is ideal for users that are comfortable with writing MATLAB scripts. Jan 14, · All use cases supported by BTC EmbeddedPlatform are also available for Embedded Coder, incl. code coverage analysis, automatic test generation and formal verification. 4. Dec 20, · BTC EmbeddedPlatform brings significant improvements for the handling of long test cases. Optimizations have been made in many different areas including database structure and simulation handling. The representation of test data in table view or plotting view only loads the current needed data dynamically into the memory.
Btc embedded platformNew Release of BTC EmbeddedPlatform · BTC ES
Our definition of correctness implies the requirement represents the intended functionality. Our definition of completeness implies a given set of requirements always leads to a defined output bevavior for any kind of input data. These three methods enable the user to increase the requirements quality in a very early project stage. This addional effort can significantly reduce the misunderstandings and functional issues during development and testing, leading to a more efficient process.
It is now possible to create a profile independantly from a concrete system-under-test e. With a user-defined architecture, many use cases can be performed during the beginning project phases where no implementation is available. This includes for example formal specification of safety requirements and requirements analysis see above.
This new feature allows the user to open a test case in BTC TestComposer and the corresponding Simulink model in parallel providing faster iterations and enhanced test driven development. Small changes in either situation can be recognized almost immediatly. Besides the standard BackBack Test between model and code, BTC Embedded Tester also supports use cases such as regression testing between different model or code versions as well as the automatic validation of an upgrade to new tool versions e.
Matlab or TargetLink. BTC EmbeddedTester allows you to automatically generate test cases so called stimuli vectors in order to achieve full structural coverage of your production code.
The test generator will be able to access all input variables and calibrations, allowing it to detect issues that have not been revealed by functional test cases. The test generation is based on so-called model checking technology. Unlike random algorithms, this technology not only guarantees that the smallest and shortest set of test cases to cover the desired objectives will be found, but it also performs a dynamic analysis showing that some objectives are unreachable.
This means that the tool is able to prove that if no test can be generated, then a particular coverage goal is not reachable. This allows you to prove that critical situations such as division by zero or range violations can never occur — saving a significant amount of time in the review process. If BTC EmbeddedTester detects that such a goal is reachable, it provides you with a corresponding stimuli vector that can be used for debugging.