Sökning: "safety-critical domain"
Visar resultat 1 - 5 av 40 avhandlingar innehållade orden safety-critical domain.
1. Design of Assured and Efficient Safety-critical Systems
Sammanfattning : Safety-critical systems need to be analyzed rigorously to remove software/specifications errors, that is, their requirements specifications should be unambiguous, comprehensible and consistent, and the software design should conform to the specifications, hence avoiding undesirable system failures. Currently, there is a lack of effective and scalable methods to specify and analyze requirements, and formally analyze the behavioral models of embedded systems. LÄS MER
2. Understanding, Implementing, and Supporting Security Assurance Cases in Safety-Critical Domains
Sammanfattning : The increasing demand for connectivity in safety-critical domains has made security assurance a crucial consideration. In safety-critical industry, software, and connectivity have become integral to meeting market expectations. LÄS MER
3. Risks Related to the Use of Software Tools when Developing Cyber-Physical Systems : A Critical Perspective on the Future of Developing Complex, Safety-Critical Systems
Sammanfattning : The increasing complexity and size of modern Cyber-Physical Systems (CPS) has led to a sharp decline in productivity among CPS designers. Requirements on safety aggravate this problem further, both by being difficult to ensure and due to their high importance to the public. LÄS MER
4. Automated Deductive Verification of Safety-Critical Embedded Software
Sammanfattning : Embedded systems are everywhere in society, and in many industries, such as the automotive industry, embedded systems are safety-critical. Embedded systems are today also increasingly controlled by software, with advances in, for example, autonomous driving. LÄS MER
5. Formal Verification of Tree Ensembles in Safety-Critical Applications
Sammanfattning : In the presence of data and computational resources, machine learning can be used to synthesize software automatically. For example, machines are now capable of learning complicated pattern recognition tasks and sophisticated decision policies, two key capabilities in autonomous cyber-physical systems. LÄS MER