Automated Test Generation (ATG) has been successfully applied in many domains. For the modeling and simulation language Simulink, there has been research on developing tools for ATG with promising results. However, most tools developed as part of academic research and are not publicly available, or severely limited in their ability to be integrated into an industrial workflow. There are commercial ATG tools for Simulink, with Simulink Design Verifier (SLDV) as the de-facto standard tool. For this thesis, we perform an empirical comparison of manual tests to those generated by SLDV. For the comparison, we used 180 components from the propulsion control software developed by our industry partner. All except two components are compatible for test generation to some extent. The majority of components are partially compatible, requiring block replacement or stubbing. Approximation of floating-point numbers is the primary reason for block replacement, which can be performed automatically by SLDV. Two components were incompatible, and 14 required full stubbing of blocks. Using a pre-processing step, the generated tests achieve similar coverage as the manual tests. We performed a Mann–Whitney U test with the hypothesis that the generated tests achieve higher coverage than the manual tests. There are no statistically significant differences for either decision coverage (0.0719), or condition coverage (0.8357). However, for Modified Condition/Decision Coverage, the generated tests achieve higher coverage, and the difference is significant (0.0027). The limitations of ATG were explored by looking at the cases where the generated tests achieved lower coverage than the manual test. We found that the use of floating-point arithmetic and temporal logic increases the time required for test generation, and causes the analysis to hit the time limit. The test generation does not support all custom S-functions and perform stubbing of these blocks. This made the tool unable to reason about persistent storage. Configuration constants have limited support, which was the reason for the coverage difference in three cases. We have concluded that while much effort is required for custom tooling and initial setup, ATG can prove useful for early fault detection in an industrial workflow. ATG would prove especially useful in an automated continuous integration workflow for integration-level conformance testing.
| Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:mdh-48426 |
| Date | January 2020 |
| Creators | Roslund, Anton |
| Publisher | Mälardalens högskola, Akademin för innovation, design och teknik |
| Source Sets | DiVA Archive at Upsalla University |
| Language | English |
| Detected Language | English |
| Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
| Format | application/pdf |
| Rights | info:eu-repo/semantics/openAccess |
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