Validation & Verification of Intelligent Systems: The Case of Digital Twins

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Computer Science & Engineering".

Deadline for manuscript submissions: 15 August 2024 | Viewed by 425

Special Issue Editors

Quality Engineering, Department of Computer Science, University of Innsbruck, 6020 Innsbruck, Austria
Interests: model-driven engineering and testing; models@runtime; cyber-physical systems; machine learning and AI; pervasive computing; digital twins

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Guest Editor
Quality Engineering, Department of Computer Science, University of Innsbruck, 6020 Innsbruck, Austria
Interests: security engineering; software engineering; information systems; novel approaches in software and security engineering

Special Issue Information

Dear Colleagues,

With the growing availability of data and computational power, intelligent systems over recent years have become key components of many enterprise IT landscapes. At the same time, however, these systems are radically different from a classical software system where the code written is the code that represents the system.

In intelligent systems, the code written is traditionally responsible for developing the program that solves the problem. Consequently, testing the resulting systems becomes intractable due to lacking requirements, associated specifications, and eventually insight into how the solution was established and thus exposes specific—and in the worst case erroneous—behavior. Digital twins offer the potential to replicate internal system processes and behaviors by recreating the conditions as they happen and thus provide tractability. Near real-time data can be sequenced, and the system under test can be tested with production data and production triggers.

Any failure that happens in production can be simulated in the digital twin, thus significantly improving application testing accuracy. The goal of this Special Issue is to revise the verification and validation of intelligent systems with a special focus on the benefits delivered by the digital twin.

Dr. Philipp Zech
Dr. Clemens Sauerwein
Dr. Luca Davoli
Guest Editors

Manuscript Submission Information

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  • verification and validation
  • intelligent systems
  • digital twins

Published Papers

This special issue is now open for submission.
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