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Abstract: To achieve efficient and flexible production at affordable prices, industrial automation is pushed towards a digital transformation. Such a transformation assumes an enhancement of current Industrial Automated Control Systems with a large amount of IoT-devices, forming an Industrial Internet of Things (IIoT). The aim is to enable a shift from automatic towards autonomous control in such systems. T...
Abstract: Abstract Ubiquitous and Pervasive Computing, and the Internet of Things, promote dynamic interaction among heterogeneous systems. To achieve this vision, interoperability among heterogeneous systems represents a key enabler, and mediators are often built to solve protocol mismatches. Many approaches propose the synthesis of mediators. Unfortunately, a rigorous characterization of the concept of in...
Abstract: Today's industrial automation systems are undergoing a digital transformation that implies a shift towards the Internet of Things (IoT), leading to the Industrial Internet of Things (IIoT) paradigm. Existing Industrial Automated Control Systems (IACS), enriched with a potentially large number of IoT devices are expected to make systems more efficient, flexible, provide intelligence, and ultimately...
Abstract: Today's industrial automation systems are undergoing a digital transformation that implies a shift towards the Internet of Things (IoT), leading to the Industrial Internet of Things (IIoT) paradigm. Existing Industrial Automated Control Systems (IACS), enriched with a potentially large number of IoT devices are expected to make systems more efficient, flexible, provide intelligence, and ultimately...
Abstract: Data defined software is becoming more and more prevalent, especially with the advent of machine learning and artificial intelligence. With data defined systems come both challenges - to continue to collect and maintain quality data - and opportunities - open innovation by sharing with others. We propose Open Data Collaboration (ODC) to describe pecuniary and non-pecuniary sharing of open data, si...
Abstract: Test automation brings the potential to reduce costs and human effort, but several aspects of software testing remain challenging to automate. One such example is automated performance testing to find performance breaking points. Current approaches to tackle automated generation of performance test cases mainly involve using source code or system model analysis or use-case-based techniques. Howeve...
Abstract: In the context of SPICE‐compliant and (security‐informed) safety processes, efficient process tailoring is necessary due to the increasing proliferation of requirements, which, if not systematised, may become an unmanageable cognitive overload leading to process degradation instead of improvement. Recently, security‐informed safety‐oriented process line engineering (SiSoPLE) has been proposed as a...
Abstract: Developers spend a substantial amount of their time with program comprehension. To improve their comprehension and refresh their memory, developers need to communicate with other developers, read the documentation, and analyze the source code. Many studies show that developers focus primarily on the source code and that small improvements can have a strong impact. As such, it is crucial to bring t...
Abstract: The concept of technical debt has been explored from many perspectives but its precise estimation is still under heavy empirical and experimental inquiry. We aim to understand whether, by harnessing approximate, data-driven, machine-learning approaches it is possible to improve the current techniques for technical debt estimation, as represented by a top industry quality analysis tool such as Sona...
Abstract: Context: Multiple types of processing units (e.g., CPUs, GPUs and FPGAs) can be used jointly to achieve better performance in computational systems. However, these units are built with fundamentally different characteristics and demand attention especially towards software deployment. Objective: The goal of this work is to summarize the state-of-the-art of software deployment on heterogeneous plat...
Abstract: Members: Premek Brada, University of West Bohemia, Czech Republic Gunnar Brataas, SINTEF, Norway Rajkumar Buyya, University of Melbourne, Australia Antonio Filieri, Imperial College London, UK Ian Gorton, Northeastern University Seattle, USA Wilhelm Hasselbring, Kiel University, Germany Nikolas Herbst, University of Würzburg, Germany Darko Huljenić, ENT Zagreb, Croatia Sebastian Lehrig, IBM Dublin...
Abstract: Online controlled experiments, known as A/B tests, have delivered tremendous value for businesses and customers. Traditionally, online controlled experiments running in search engines, websites, mobile apps, and other Business-to-Consumer (B2C) products use individual customers as randomization units. However, this may not be possible in Business-to-Business (B2B) products that are sold to, and us...
Abstract: Several studies report that the use of model-centric methods in the automotive domain is widespread and offers several benefits. However, existing work indicates that few modelling frameworks explicitly include requirements engineering (RE), and that natural language descriptions are still the status quo in RE. Therefore, we aim to increase the understanding of current and potential future use of ...
Abstract: Abstract Context: Adaptive systems are expected to cater for various operational contexts by having multiple strategies in achieving their objectives and the logic for matching strategies to an actual context. The prediction of relevant contexts at design time is paramount for dependability. With the current trend on using data mining to support the requirements engineering process, this task of u...
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