Today’s critical systems of military and aviation grade consist of several complex requirements that need to be assessed for a safe and continuous operation before they are deployed for use. Several coverage methodologies have been proposed over the years with Modified Condition / Decision Coverage (MC/DC) being chosen by the aviation industry. This practice is becoming a highly recommended coverage methodology among several modern standards such as the Automotive Safety Integrity Level (ASIL) of automotive standard ISO 26262 and the Safety integrity level (SIL) 4 in part 3 Annex B of the basic safety publication. The main focus of this thesis is to provide an automated process that can provide test vectors suitable for applying MC/DC testing. By using as the core engine a modified version of a hardware-oriented technique used in Automatic Test Pattern Generation (ATPG) called PODEM (Path-Oriented Decision Making) we get to produce several test vectors that can contribute towards MC/DC structural coverage.

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<p>Thorough testing of software is necessary to assure the quality of a product before it is released. The testing process requires substantial resources in software development. Model-based software development provides new possibilities to automate parts of the testing process. By automating tests, valuable time can be saved. This thesis focuses on different ways to utilize models for automatic generation of test vectors and how test coverage analysis can be used to assure the quality of a test suite or to find "dead code" in a model. Different test-automation techniques have been investigated and applied to a model of an adaptive cruise control system (ACC) used at Scania. Source code has been generated automatically from the model, model coverage and code coverage has therefore been compared. The work with this thesis resulted in a new method to create test vectors for models based on a combinatorial test technique.</p>

Thorough testing of software is necessary to assure the quality of a product before it is released. The testing process requires substantial resources in software development. Model-based software development provides new possibilities to automate parts of the testing process. By automating tests, valuable time can be saved. This thesis focuses on different ways to utilize models for automatic generation of test vectors and how test coverage analysis can be used to assure the quality of a test suite or to find "dead code" in a model. Different test-automation techniques have been investigated and applied to a model of an adaptive cruise control system (ACC) used at Scania. Source code has been generated automatically from the model, model coverage and code coverage has therefore been compared. The work with this thesis resulted in a new method to create test vectors for models based on a combinatorial test technique.