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Abstract: Traditional automation technologies alone are not sufficient to enable the fully automated operation of trains. However, Artificial Intelligence (AI) and Machine Learning (ML) offers great potential to realize the mandatory novel functions to replace the tasks of a human train driver, such as obstacle detection on the tracks. The problem, which still remains unresolved, is to find a practical way ...
Abstract: A/B tests are the gold standard for evaluating product changes. At Microsoft, for example, we run tens of thousands of A/B tests every year to understand how users respond to new designs, new features, bug fixes, or any other ideas we might have on what will deliver value to users. In addition to testing product changes, however, A/B testing is starting to gain momentum as a differentiating featur...
Abstract: Serious games have become more common as learning tools in recent years. Like other learning materials, it is important that these games be accessible to learners with disabilities. The focus of our recent research was to look at the feasibility of using 3D games, or 3D worlds more specifically, as learning content, and whether they could be made accessible, thus complying with accessibility laws ...
Abstract: Container-based virtualization is a promising deployment model in fog and edge computing applications, because it allows a seamless co-existence of virtualized applications in a heterogeneous environment without introducing significant overhead. Certain application domains (e.g., industrial automation, automotive, or aerospace) mandate that applications exhibit a certain degree of temporal predict...
Abstract: Peer code review is a widely practiced software engineering process in which software developers collaboratively evaluate and improve source code quality. Whether developers can perform good reviews depends on whether they have sufficient competence and experience. However, the knowledge of what competencies developers need to execute code review is currently limited, thus hindering, for example, ...
Abstract: Systems-of-systems (SoS) have become increasingly complex and frequently used in highly distributed, dynamic, and open environments. SoS refer to evolving software systems in which constituent systems (themselves systems in their own right) cooperatively work to fulfill specific, complex missions, facing Software Engineering researchers and practitioners with substantial challenges. Software ecosy...
Abstract: Visual Analytics (VA) has shown to be of significant importance for Supply Chain (SC) analytics. However, SC partners still have challenges incorporating it into their data-driven decision-making activities. A conceptual framework for the development and deployment of a VA system provides an abstract, platform-independent model for the whole process of VA, covering requirement specification, data ...
Abstract: The paper presents the AIDOaRT project, a 3 years long H2020-ECSEL European project involving 32 organizations, grouped in clusters from 7 different countries, focusing on AI-augmented automation supporting modeling, coding, testing, monitoring, and continuous development in Cyber-Physical Systems (CPS). To this end, the project proposes to combine Model Driven Engineering principles and technique...
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