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Abstract: Adaptive autonomy plays a major role in the design of multi-robots and multi-agent systems, where the need of collaboration for achieving a common goal is of primary importance. In particular, adaptation becomes necessary to deal with dynamic environments, and scarce available resources. In this paper, a mathematical framework for modelling the agents' willingness to interact and collaborate, and ...
Abstract: Fog computing is an emerging technology that enables the design of novel time sensitive industrial applications. This new computing paradigm also opens several new research challenges in different scientific domains, ranging from computer architectures to networks, from robotics to real-time systems. In this paper, we present a use case in the human-robot collaboration domain, and we identify some...
Abstract: The Internet of Things (IoT) is envisioned as a global network of connected things enabling ubiquitous machine-to-machine (M2M) communication. With estimations of billions of sensors and devices to be connected in the coming years, the IoT has been advocated as having a great potential to impact the way we live, but also how we work. However, the connectivity aspect in itself only accounts for the...
Abstract: Hardware manufacturers are forced to improve system performance continuously due to advanced and computationally demanding system functions. Unfortunately - more powerful hardware leads to increased costs. Instead, companies attempt to improve performance by consolidating multiple functions to share the same hardware to exploit existing performance instead. In legacy systems, each function had ind...
Abstract: In the early 90s, researchers began to focus on security as an important property to address in combination with safety. Over the years, researchers have proposed approaches to harmonize activities ......
Abstract: Monitoring of third-party content, such as ads, in web applications is one of the growing business areas in the web industry. In order to increase the impact of the ads and optimize the content on the web-page, companies measure which ads are displayed and how long they stay on the visible part of the screen. However, the challenge is that the third-party content can be of varying type, come from ...
Abstract: Surprisingly promising results have been achieved by deep learning (DL) systems in recent years. Many of these achievements have been reached in academic settings, or by large technology companies with highly skilled research groups and advanced supporting infrastructure. For companies without large research groups or advanced infrastructure, building high-quality production-ready systems with DL ...
Abstract: Based on interviews with 20 developers from two case study companies that develop large-scale software-intensive embedded systems, this paper presents twelve factors that affect how often developers commit software to the mainline. The twelve factors are grouped into four themes: "Activity planning and execution", "System thinking", "Speed" and "Confidence through test activities". Based on the in...
Abstract: Online Controlled Experiments (OCEs, aka A/B tests) are one of the most powerful methods for measuring how much value new features and changes deployed to software products bring to users. Companies like Microsoft, Amazon, and Booking.com report the ability to conduct thousands of OCEs every year. However, the competences of the remainder of the online software industry remain unknown. The main ob...
Abstract: Empowerment is based on the belief that employees have the ability, and the desire, to shoulder more responsibility and perform better when given freedom. In an empowered organization, authority is given to employees with the intent to increase responsiveness to customers, improve decision-making power and to increase team motivation and skills. However, while most studies picture empowerment as t...
Abstract: Online Controlled Experiments (OCEs) are the norm in data-driven software companies because of the benefits they provide for building and deploying software. Product teams experiment to accurately learn whether the changes that they do to their products (e.g. adding new features) cause any impact (e.g. customers use them more frequently). Experiments also help reduce the risk from deploying softwa...
Abstract: The time-triggered communication paradigm has been shown to satisfy temporal isolation while providing end to end delay guarantees through the synthesis of an offline schedule. However, this paradigm has severe flexibility limitations as any unpredicted change not anticipated by the schedule, such as a component failure, might result in a loss of frames. A typical solution is to use redundancy or ...
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