SC Harvester Papers Database Interface

Forte: Hybrid Traffic-Aware Scheduling for Mobile TSCH Nodes

Iliar Rabet, H. Fotouhi, Mário Alves, M. Vahabi, Mats Björkman. In: 2024 IEEE 49th Conference on Local Computer Networks (LCN). 2024

Facilitating systems thinking in serious game design by highlighting inter-player relationships

E. Hofstetter, O. Leifler, B. Johansson, Peter Berggren. In: Proceedings of the European Conference on Cognitive Ergonomics 2024. 2024

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...

No Data Left Behind: Exogenous Variables in Long-Term Forecasting of Nursing Staff Capacity

Emily Schiller, Simon Müller, Kathrin Ebertsch, J. Steghöfer. In: 2024 IEEE 11th International Conference on Data Science and Advanced Analytics (DSAA). 2024

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...

Exploring the Role of Artificial Intelligence in Internet of Things Systems: A Systematic Mapping Study

Umair Khadam, Paul Davidsson, Romina Spalazzese. In: Sensors (Basel, Switzerland). 2024

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...

Enabling efficient and low-effort decentralized federated learning with the EdgeFL framework

Hongyi Zhang, Jan Bosch, H. Olsson. In: Inf. Softw. Technol.. 2024

Towards public understanding of software through modeling

R. Jongeling. In: Proceedings of the ACM/IEEE 27th International Conference on Model Driven Engineering Languages and Systems. 2024

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...

Meta-Adaptation Goals: Leveraging Feedback Loop Requirements for Effective Self-Adaptation

Raffaela Groner, Ricardo Diniz Caldas, Rebekka Wohlrab. In: 2024 IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion (ACSOS-C). 2024

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 ...

Depression of cortical neuronal activity after a low‐dose fentanyl in preterm infants

S. Nilsson, A. Tokariev, Timo Vehviläinen, V. Fellman, S. Vanhatalo et al. In: Acta Paediatrica (Oslo, Norway : 1992). 2024

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....

Not All Conflicts are the Same: An Empirical Study of Requirement Conflicts in Practice

A. Welzel, Rebekka Wohlrab, Richard Berntsson-Svensson. In: 2024 50th Euromicro Conference on Software Engineering and Advanced Applications (SEAA). 2024

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 ...

Similarities and Overlaps in Operational Scenarios - A Study of Legacy Industrial Products in the Railway Vehicle Domain

Henrik Gustavsson, Jan Carlson, Eduard Paul Enoiu, David Lindgren. In: 2024 50th Euromicro Conference on Software Engineering and Advanced Applications (SEAA). 2024

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...

Research Issues and Challenges in the Computational Development of Trustworthy AI

Shahina Begum, M. Ahmed, Shaibal Barua, Md. Alamgir Kabir, A. Masud. In: 2024 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET). 2024

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,...

Guidelines for using financial incentives in software-engineering experimentation

Jacob Krüger, G. Çalıklı, Dmitri Bershadskyy, Siegmar Otto, Sarah Zabel et al. In: Empirical Software Engineering. 2024

Using Generative AI to Support Standardization Work – the Case of 3GPP

M. Staron, J. Ström, Albin Karlsson, Wilhelm Meding. In: 2024 50th Euromicro Conference on Software Engineering and Advanced Applications (SEAA). 2024

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...

Using boundary objects and methodological island (BOMI) modeling in large-scale agile systems development

Jörg Holtmann, J. Horkoff, Rebekka Wohlrab, V. Vu, Rashidah Kasauli et al. In: Software and Systems Modeling. 2024

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...

The Swedish PedsQL gastrointestinal symptoms scale and symptoms module showed good psychometric performance

Matilda Bräutigam, K. Abrahamsson, V. Gatzinsky, R. Saalman, Lana Hadi et al. In: Acta Paediatrica. 2024

Abstract: There is no validated symptom scale for Swedish children with gastrointestinal disorders. Our aim was to validate the Swedish version of the Paediatric Quality of Life Inventory (PedsQL) gastrointestinal symptoms scale and symptoms module....