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DSA 2022 : 9th IEEE International Conference on Dependable Systems and Their Applications | |||||||||||||||
Link: https://dsa22.techconf.org/ | |||||||||||||||
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Call For Papers | |||||||||||||||
In 2017, the International Conference on Trustworthy Systems and Their Applications (TSA) and the International Symposium on Dependable Computing and Internet of Things (DCIT) were merged into one large conference and renamed as the International Conference on Dependable Systems and Their Applications (DSA). This year will be the sixth meeting after the merge. In the past, both TSA and DCIT were technically sponsored by the IEEE Reliability Society. Following the same tradition, DSA 2022 also has the same technical sponsorship from IEEE. The focus is on innovative methodologies, techniques, tools, and management to produce dependable and trustworthy systems and their applications in a more cost-effective way. It provides an opportunity for academic researchers, industry practitioners, and government policy and decision makers to exchange ideas and results, share experiences, and explore possible solutions to overcome current challenges.
Topics of Interest * Algorithms, Architecture, Framework, Design Patterns, and Maintenance for Dependable Systems and Software * Security, Threats, Privacy, Safety, and Risk Management * Dependability and Reliability Modelling and Measurement * Fault Tolerance, Survivability, Resilience, and Availability * Metrics, Measurement, and Quality Assessment * Requirements, Process, Standards, Productivity, and Project Management * Quality Assurance, Maintenance, Reverse Engineering, and Re-Engineering * Verification, Validation, Testing, Analysis, Debugging, Model Checking, and Program Repair * Formal Methods and Theories * Communication, Networking, Optimization, and Performance * Pervasive, Ubiquitous, Service-Oriented, and Cloud Computing * Collaborative, Distributed, Embedded, Real-Time, High Performance, Highly Dependable, Intelligent, Multimedia Systems * Big Data and Storage * Prognostics and Health Management * IoT, Supply Chain, Cyber-Physical Systems, Industry 4.0, and Smart City * Empirical Studies, Benchmarking, and Industrial Best Practices * Applications and Tools and Automation * Approaching Artificial Creativity |
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