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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: Opioids might be harmful to the developing brain and dosing accuracy is important. We aimed at investigating fentanyl effects on cortical activity in infants using computational re‐analysis of bedside recorded EEG signals....
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: 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: 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,...
Abstract: Growing degree days (GDDs) and leaf area index (LAI) greatly influence the growth and yield of many crops grown in arid regions. Therefore, variation in LAI due to GDD can provide a theoretical basis for predicting crop growth, water consumption, plant development, and yield in arid agriculture via the development of mathematical growth models. This study described the relationship between plant b...
Abstract: Empirical studies with human participants (e.g., controlled experiments) are established methods in Software Engineering (SE) research to understand developers’ activities or the pros and cons of a technique, tool, or practice. Various guidelines and recommendations on designing and conducting different types of empirical studies in SE exist. However, the use of financial incentives (i.e., paying ...
Abstract: Standardization processes build upon consensus between partners, which depends on their ability to identify points of disagreement and resolving them. Large standardization organizations, like the 3GPP or ISO, rely on leaders of work packages who can correctly, and efficiently, identify disagreements, discuss them and reach a consensus. This task, however, is effort-, labor-intensive and costly. I...
Abstract: Large-scale systems development commonly faces the challenge of managing relevant knowledge between different organizational groups, particularly in increasingly agile contexts. Here, there is a conflict between coordination and group autonomy, and it is challenging to determine what necessary coordination information must be shared by what teams or groups, and what can be left to local team manag...
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