Automotive DevOps Platform
With the Automotive DevOps Platform, we go from the big picture to the details and unite all phases of vehicle software testing – from planning the test scopes to summarizing the test results. At the same time, continuous monitoring across all test phases always provides an overview of all activities – even with several thousand test executions per day and in different test environments.
As a specialist in the fields of testing and safety, we create innovative solutions for the automotive industry. We gain our experience both from the continuous development of our test automation tools and from the use of our own software in many customer projects. The most important point is the close cooperation between the two areas. And our users provide targeted feedback to the developers at all times.
This allows us to apply our expertise at many levels of the overall system – in the development of test cases, as well as in the setup of test infrastructure or the fully automated execution and analysis of tests. The ever more complex vehicle functions require constant adaptation of the test process and continuous further development of the methodology. Our Automotive DevOps Platform is the answer.
The Automotive DevOps Platform connects important process steps that are often performed anonymously, thereby promoting collaboration – from the development of test cases, to their execution, to the final assessment of the software status. Thanks to fast, direct feedback in all test phases and extensive automation of the processes, errors can be detected earlier and thus time-to-market can be significantly reduced.
The Automotive DevOps Platform is based on our tool chain ECU-TEST, TEST-GUIDE and TRACE-CHECK. Thanks to numerous automation-compatible interfaces, the platform can be just as easily integrated into existing customer systems or expanded with other tool solutions. Third-party tools such as test management (e.g., Polarion, Octane), SCM (e.g., SVN, Git) or ticket systems (e.g., JIRA) can be easily connected.
In the planning phase, the test scopes within a test level are defined. The basis is formed by requirements that can be read in from a wide variety of sources – via direct connection of ALM tools (e.g., Octane, IBM RQM, Polarion), a proprietary API or by importing various exchange formats (e.g., ReqIF).
In this step, the focus is on the development and management of requirements-based and reusable test cases for automated execution in both physical (HiL) and virtual test environments (SiL, MiL).
Trace analyses can be prepared for recorded measurement data, which significantly increase the test depth by means of validations and verifications of the recordings. Numerous recording formats (e.g., Matlab, ASC, MDF) are supported.
Intelligent and integrated test execution ensures that tests are automatically distributed to available test stations. At any time, the best possible utilization can be ensured and the current status of the test resources can be monitored.
The test station-independent and downstream analysis of the measurement data – decoupled from the test case (stimulation) – enables the results to be reused and the test system to be made available earlier for further runs.
With several thousand test executions a day, it is important to have support for evaluating results and following up on anomalies. Errors that occur can be recorded and forwarded to a connected ticket system (e.g., Jira, Redmine, Octane, etc.).
Release represents the conclusion of the test activities. The summary of test results in release and coverage overviews is based on the test scopes defined at the beginning. The link between planning, implementation and results forms the basis for producing informative final reports.
Monitoring is a continuous phase that accompanies development and provides an overview of all activities from planning to the summary of test results. By means of a clear dashboard, progress can be monitored and measures can be derived to deal with problems in good time.
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