Advancing the development and validation of Digital Twins through Model-Driven Engineering (MDE) techniques to enhance the design, monitoring, and optimization of complex industrial systems.
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Our work centers on involving the human designer in the automatic generation of new quantum algorithms through search-based software engineering. By incorporating background knowledge and human intuition we seek speed up the search for novel and more interpretable quantum algorithms.
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In the Codeability Austria project, seven Austrian universities (including JKU) have established structures, methods, and digital platforms over the past five years to guide programming education in Austria into a digital future, particularly taking into account the challenges and opportunities arising from developments in artificial intelligence.
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The value of software products can have many different manifestations that often go far beyond pure functionality. For one thing, it can be about purely monetary value, but it can also be about expanding the company’s reach, improving customer loyalty, displacing competitors, or generating other additional benefits for the company or the user. Cost and Value Engineering is a promising approach for addressing such a value-centered perspective without losing sight of expenses.
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We applied an artificial intelligence-based approach to train practicable models for a business environment that enables effective prediction of software faults based on code smells, number of code changes in a time period, number of authors involved and other metrics.
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A dashboard for microservice monitoring and management, which can be configured to stakeholder needs and which supports the integration of different backend systems.
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