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Abstract: Customization is a general trend in software engineering, demanding systems that support variable stakeholder requirements. Two opposing strategies are commonly used to create variants: software clone & own and software configuration with an integrated platform. Organizations often start with the former, which is cheap and agile, but does not scale. The latter scales by establishing an integrated ...
Abstract: Significance Our experimental platform enables researchers to manipulate the social signals produced by participants in real time during social interactions. This platform opens the possibility to uncover how social behaviors (e.g., facial/vocal expressions) and social characteristics (e.g., vocal gender) causally influence social contexts (e.g., dating, job interviews, etc). Using this platform, ...
Abstract: In the modern world, connectivity and shared intelligence enable independent constituent systems (CS) to form systems of systems (SoS) capable of performing sophisticated missions. However, the sheer scale of an SoS can make it challenging to manage all components comprehensively, hiding potential security and safety concerns. These factors underscore the need for advancing conceptual models that ...
Abstract: A critical enabler of autonomous construction equipment is object detection, a computer vision task integral to navigation, task execution, and safety. However, challenging conditions at construction sites, such as mud splashes, dirt, and vibrations, can degrade object detection performance by causing sensor occlusions and image blurriness. Traditional adversarial training methods, which enhance m...
Abstract: This paper examines the affordances of a component in a serious game, specifically how one material design choice affected the interactions and opportunities for agency and learning. The game examined is a megagame, a large-scale (20-100 participants) social learning environment combining board-gaming with role-playing. The megagame poses participants the challenge of creating a sustainable societ...
Abstract: Accurate forecasts of nursing staff capacity have the potential to support shift planners in creating optimal schedules for nursing staff, which is crucial for job satisfaction and quality of care provided in hospitals. Recently presented deep learning methods for long-term time series forecasting (LTSF) show promising results on multiple use cases. However, many state-of-the-art LTSF approaches l...
Abstract: The use of Artificial Intelligence (AI) in Internet of Things (IoT) systems has gained significant attention due to its potential to improve efficiency, functionality and decision-making. To further advance research and practical implementation, it is crucial to better understand the specific roles of AI in IoT systems and identify the key application domains. In this article we aim to identify th...
Abstract: We consider the public understanding of software and its engineering to be imperative for citizens in the rapidly digitizing world. In this vision paper, we explore the possibilities of using software and systems engineering models for communicating quality aspects of software-intensive systems to their users. We provide a scope, vision, and research challenges in this direction, aiming to facilit...
Abstract: Self-* systems focus on optimizing systems regarding adaptation goals, e.g. availability, that relate to properties of the managed system. While these adaptation goals are important, the feedback loop must also be considered. It is problematic if systems adapt too often, make too time-consuming changes that involve insecure transition states, or react too slowly when planning adaptations. Current ...
Abstract: When seeking to enhance reuse, industrial enter-prises delivering complex electro-mechanical products to large global customers face various technical challenges in their engi-neering practice. Many challenges are due to the many-faceted and rich variability that naturally arises in such a context. We focus our attention on the requirements engineering process. This paper presents the results from...
Abstract: Requirement conflicts commonly o ccur i n soft-ware development, especially for complex systems that involve many requirements. Resolving these conflicts c an b every time-consuming and costly. Moreover, due to the contextual nature of requirements conflicts, resolutionstrategies a re n eeded that can be tailored to a specific conflict an d it s co ntext. Currently, there is a lack of research on ...
Abstract: The development and deployment of AI systems necessitate a steadfast commitment to reliability, safety, security, ethics, and social responsibility. This paper introduces key research issues and challenges for trustworthy AI based on our experience working on several ongoing research projects at Mälardalen University (MDU), Sweden, which considers practical, real-world scenarios from the mobility,...
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