SAGA - Situation-Based Integration Testing of Automotive Systems using Guarded Assertions
| Reference number | |
| Coordinator | RISE Research Institutes of Sweden AB - SICS Swedish ICT AB |
| Funding from Vinnova | SEK 4 811 520 |
| Project duration | January 2016 - October 2019 |
| Status | Completed |
| Venture | Electronics, software and communication - FFI |
| Call | 2015-00026-en |
| End-of-project report | 2015-04816sv.pdf(pdf, 730 kB) (In Swedish) |
Important results from the project
The most important result of the SAGA project is a method, a language, and associated tool support for automated passive system-level testing of vehicle systems. SAGA contributes with knowledge of how more realistic test cases and parallel execution of the test logic can achieve faster results and more confidence in the test results as they have tested all functions in more situations and combinations. SAGA is thus highly relevant to the overall FFI targets for shortened time-to-market and road and vehicle safety.
Expected long term effects
The most important result of the SAGA project is a method, a language, and associated tool support for automated passive system-level testing of vehicle systems. SAGA contributes with knowledge of how more realistic test cases and parallel execution of the test logic can achieve faster results and more confidence in the test results as they have tested all functions in more situations and combinations. SAGA is thus highly relevant to the overall FFI targets for shortened time-to-market and road and vehicle safety.
Approach and implementation
The approach in our work has been to use the latest available research in software testing and adapt/extend this to the vehicle domain. Another fundamental point is that we have prioritized practical usability over universality. As a consequence, all results should be practically useful to a test engineer. Therefore, we have followed an incremental working model where we take the test engineer´s everyday life and skills into strong consideration. We further base improvements to each iteration on an experimental evaluation in an industrial setting.