SC Harvester Papers Database Interface

Task Models for Mixed Criticality Systems - A Review

B. Raveendran, A. S. Nair, L. Colaco, S. Punnekkat. In: International Journal of Critical Computer-Based Systems. 2022

Registered Report: A Laboratory Experiment on Using Different Financial-Incentivization Schemes in Software-Engineering Experimentation

Jacob Krüger, G. Çalıklı, Dmitri Bershadskyy, Robert Heyer, Sarah Zabel et al. In: ArXiv. 2022

Towards Sustainable Serverless Computing

Panos Patros, Josef Spillner, A. Papadopoulos, B. Varghese, O. Rana et al. 2022

5G Network on Wings: A Deep Reinforcement Learning Approach to UAV-based Integrated Access and Backhaul

Hongyi Zhang, Jingya Li, Z. Qi, Xingqin Lin, Anders Aronsson et al. In: ArXiv. 2022

ICSSIM-A Framework for Building Industrial Control Systems Security Simulation Testbeds

Alireza Dehlaghi-Ghadim, Ali Balador, H. Hansson, M. Conti. In: ArXiv. 2022

Assessing Security of Internal Vehicle Networks

Anas Alkoutli, Joakim Anderlind, Carl-Johan Björnson, M. Drage, Morgan Thowsen et al. In: . 2022

Chapter 3 Efficient and Effective Exploratory Testing of Large-Scale Software Systems

Torvald Mårtensson, Daniel Ståhl, A. Martini, Jan Bosch. In: . 2022

Chapter 4 Technical Debt Tracking: Current State of Practice: A Survey and Multiple Case Study in 15 Large Organizations

A. Martini, Terese Besker, Jan Bosch. In: . 2022

Choice blindness persists despite explicit instructions to detect false feedbacks: preliminary evidence for a Bayesian model of choice blindness

Gabriel Vogel, Petter Johansson, Lars Hall, P. Pärnamets. 2022

TaskMUSTER: a comprehensive analysis of task parameters for mixed criticality automotive systems

A. Sukumaran Nair, L. Colaco, B. Raveendran, S. Punnekkat. In: Sādhanā. 2021

Towards Trustworthy Cross-patient Model Development

Ali El-Merhi, Helena Odenstedt Herg'es, Linda Block, Mikael Elam, Richard Vithal et al. In: ArXiv. 2021

Abstract: Machine learning is used in medicine to support physicians in examination, diagnosis, and predicting outcomes. One of the most dynamic area is the usage of patient generated health data from intensive care units. The goal of this paper is to demonstrate how we advance cross-patient ML model development by combining the patient's demographics data with their physiological data. We used a population...

Managing and Composing Teams in Data Science: An Empirical Study

T. Aho, Terhi Kilamo, Lucy Ellen Lwakatare, T. Mikkonen, Outi Sievi-Korte et al. In: 2021 IEEE International Conference on Big Data (Big Data). 2021

Abstract: Data science projects have become commonplace over the last decade. During this time, the practices of running such projects, together with the tools used to run them, have evolved considerably. Furthermore, there are various studies on data science workflows and data science project teams. However, studies looking into both workflows and teams are still scarce and comprehensive works to build a h...

Managing and Composing Teams in Data Science: An Empirical Study

T. Aho, Terhi Kilamo, Lucy Ellen Lwakatare, T. Mikkonen, Outi Sievi-Korte et al. In: 2021 IEEE International Conference on Big Data (Big Data). 2021

Abstract: Data science projects have become commonplace over the last decade. During this time, the practices of running such projects, together with the tools used to run them, have evolved considerably. Furthermore, there are various studies on data science workflows and data science project teams. However, studies looking into both workflows and teams are still scarce and comprehensive works to build a h...

Autonomous Navigation and Configuration of Integrated Access Backhauling for UAV Base Station Using Reinforcement Learning

Hongyi Zhang, Jingya Li, Z. Qi, Xingqin Lin, Anders Aronsson et al. In: 2022 IEEE Future Networks World Forum (FNWF). 2021

Abstract: Fast and reliable connectivity is essential to enhance situational awareness and operational efficiency for public safety mission-critical (MC) users. In emergency or disaster circumstances, where existing cellular network coverage and capacity may not be available to meet MC communication demands, deployable-network-based solutions such as cells-on-wheels/wings can be utilized swiftly to ensure r...

Autonomous Navigation and Configuration of Integrated Access Backhauling for UAV Base Station Using Reinforcement Learning

Hongyi Zhang, Jingya Li, Z. Qi, Xingqin Lin, Anders Aronsson et al. In: 2022 IEEE Future Networks World Forum (FNWF). 2021

Abstract: Fast and reliable connectivity is essential to enhance situational awareness and operational efficiency for public safety mission-critical (MC) users. In emergency or disaster circumstances, where existing cellular network coverage and capacity may not be available to meet MC communication demands, deployable-network-based solutions such as cells-on-wheels/wings can be utilized swiftly to ensure r...