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Abstract: With the emergence of new technologies such as augmented reality in socio-technical systems, traditional risk assessment methods may fail to have a comprehensive system modelling, because these technologies extend human's capabilities, which might introduce new types of human failures caused by failing these extended capabilities and new types of faults leading to human failures. Current state-of-...
Abstract: With the ultimate purpose of assessing risk within augmented reality-equipped socio-technical systems, in our previous work, we systematically organized and extended state-of-the-art taxonomies of human failures to include the failures related to the extended capabilities enabled by AR technologies. The result of our organization and extension was presented in form of a feature diagram. Current st...
Abstract: The advanced production systems are composed of separate and distinct systems that operate in both isolation and conjunction, and therefore forms the System-of-Systems (SoS). However, a lot of production systems are classified as safety-critical, for example, due to the interactions between machines and involved materials. From the safety perspective, besides the behaviour of an individual system ...
Abstract: Automation of earth moving machinery enables improving existing production workflows in various applications like surface mines, material handling operations or material transporting. Such connected and collaborating autonomous machines can be seen as a system-of-systems. It is not yet clear how to consider safety during the development of such system-of-systems (SoS). One potentially useful appro...
Abstract: Abstract Background Profiling software development projects, in order to compare them, find similar sub-projects or sets of activities, helps to monitor changes in software processes. Since we lack objective measures for profiling or hashing, researchers often fall back on manual assessments. Objective The goal of our study is to define an objective and intuitive measure of similarity between soft...
Abstract: Netflix is an internet entertainment service that routinely employs experimentation to guide strategy around product innovations. As Netflix grew, it had the opportunity to explore increasingly specialized improvements to its service, which generated demand for deeper analyses supported by richer metrics and powered by more diverse statistical methodologies. To facilitate this, and more fully harn...
Abstract: Software companies need to deliver customer value continuously, both from a short- and long-term perspective. However, software development can be impeded by technical debt (TD). Although significant theoretical work has been undertaken to describe the negative effects of TD, little empirical evidence exists on how much wasted time and additional activities TD causes. The study aims to explore the...
Abstract: Defects with low manifestation probability, such as concurrency defects, are difficult to find during testing. When such a defect manifests into an error, the low likelihood can make it time-consuming to reproduce the error and find the root cause. Static Code Analysis (SCA) tools have been used in the industry for decades, mostly for compliance checking towards guidelines such as MISRA. Today, th...
Abstract: In this paper we address a network architecture that uses a combination of network virtualization and software defined networking in order to reduce complexity of network management and at the same time support high quality of service. Within this network architecture, we propose a framework to be able to dynamically distribute the network bandwidth to various services such that the network resour...
Abstract: Abstract Context: DevOps is considered important in the ability to frequently and reliably update a system in operational state. DevOps presumes cross-functional collaboration and automation between software development and operations. DevOps adoption and implementation in companies is non-trivial due to required changes in technical, organisational and cultural aspects. Objectives: This explorato...
Abstract: We propose an exercise with the purpose of providing a basic understanding of key concepts within AI and extending the understanding of AI beyond mathematics. The exercise allows participants to carry out analysis based on accounting data using visualization tools as well as to develop their own machine learning algorithms that can mimic their decisions. Finally, we also problematize the use of ...
Abstract: We propose an exercise with the purpose of providing a basic understanding of key concepts within AI and extending the understanding of AI beyond mathematics. The exercise allows participants to carry out analysis based on accounting data using visualization tools as well as to develop their own machine learning algorithms that can mimic their decisions. Finally, we also problematize the use of ...
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