Mike Anthony, MathWorks
In part 7 of this webinar series, we discuss the use of Polyspace for formal verification of the embedded software. Polyspace provides two capabilities within this workflow. The first is the inclusion of a MISRA AC AGC compliance checker which includes the capability to author custom coding rules. The second, and more important, is the application of formal methods to prove the absence of runtime errors in the software. Similar to the concept introduced earlier with Simulink Design Verifier for property proving, Polyspace uses formal methods to prove the absence of runtime errors.
Part 1: Introduction to Model-Based Design for High Integrity Software Development In this first webinar in the series, we introduce Model-Based Design and discuss why it can provide value over traditional software development processes in certification workflows.
Part 2: Requirements-Based Modeling and Traceability In part 2 of this webinar series, we discuss how to build a Simulink model from a requirements document, and how to create bi-directional links for traceability between the detailed design model and the textual high-level requirements.
Part 3: Conformance to Modeling Standards In part 3 of this webinar series, we discuss the importance of developing and enforcing a modeling standard.
Part 4: Verification of the Model Against High-Level Requirements In part 4 of this webinar series, we discuss verification of the model against the textual requirements.
Part 6: Automatic Code Generation and Traceability In part 6 of this webinar series, we discuss automatic flight code generation.
Part 7: Proving Code Correctness In part 7 of this webinar series, we discuss the use of Polyspace for formal verification of the embedded software.
Part 8: Automatic Test Vector Generation and Software-In-the-Loop Testing In part 8 of this webinar series, we discuss the use of Simulink Code Inspector to automate source code reviews.
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