Search for dissertations about: "automata generation"
Showing result 1 - 5 of 18 swedish dissertations containing the words automata generation.
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1. Model-Based Test Case Generation for Real-Time Systems
Abstract : Testing is the dominant verification technique used in the software industry today. The use of automatic test case execution increases, but the creation of test cases remains manual and thus error prone and expensive. To automate generation and selection of test cases, model-based testing techniques have been suggested. READ MORE
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2. A Seamless Framework for Control Function Generation
Abstract : As we progress in time, the dependence and inseparability of our daily lives to computer and software systems grow rapidly; some transparent to many of us. It is therefore crucial to have efficient design of correct and well-functioning computer and software systems. READ MORE
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3. Towards Automatic Generation of Formal Models for Highly Automated Manufacturing Systems
Abstract : The manufacturing industry is undergoing a digital revolution, often referred to as Industry 4.0. The aim of this revolution is to transform the factories into, so called, smart factories . These smart factories will be modular, decentralized, and interconnected, to achieve higher level automation and flexibility. READ MORE
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4. Model-Driven Security Test Case Generation Using Threat Modeling and Automata Learning
Abstract : Automotive systems are not only becoming more open through developments like advanced driving assistance functions, autonomous driving, vehicle-to-everything communication and software-defined vehicle functionality, but also more complex. At the same time, technology from standard IT systems become frequently adopted in this setting. READ MORE
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5. Compositional Approaches in Supervisory Control with Application to Automatic Generation of Robot Interlocking Policies
Abstract : The work presented in this thesis concerns verification and synthesis in the Ramadge and Wonham supervisory control framework. Supervisory control constitutes a formal framework for the design of supervisors for discrete event systems. READ MORE