This thesis focuses on the automation of scenarios creation for Portable Stimulus standard. The main goal of the work is an automatic generation of tests, which are defined as graphs for the Questa inFact tool from the Mentor company. For the automation I used an evolutionary algorithm with using a grammatical evolution. The generated scenarios are connected to the existing verification environment based on UVM methodology, then the verification of the connected component is started. Based on the achieved functional and structural coverage, the individual's fitness value is calculated and propagated into an evolutionary algorithm. At the end of the work, experiments are performed on the timer component and the contribution of the proposed evolutionary algorithm is evaluated. The proposed evolutionary algorithm is configurable by grammar and user-defined basic transactions, which allows a wide range of uses. The evolutionary algorithm managed to achieve high functional and structural coverage on the verified timer component.
| Identifer | oai:union.ndltd.org:nusl.cz/oai:invenio.nusl.cz:433495 |
| Date | January 2020 |
| Creators | Tichý, Andrej |
| Contributors | Bardonek, Petr, Zachariášová, Marcela |
| Publisher | Vysoké učení technické v Brně. Fakulta informačních technologií |
| Source Sets | Czech ETDs |
| Language | Czech |
| Detected Language | English |
| Type | info:eu-repo/semantics/masterThesis |
| Rights | info:eu-repo/semantics/restrictedAccess |
Page generated in 0.0023 seconds