SC Harvester Papers Database Interface

AutoDeepHLS: Deep Neural Network High-level Synthesis using fixed-point precision

M. Riazati, M. Daneshtalab, Mikael Sjodin, B. Lisper. In: 2022 IEEE 4th International Conference on Artificial Intelligence Circuits and Systems (AICAS). 2022

Abstract: Deep Neural Networks (DNN) have received much attention in various applications such as visual recognition, self-driving cars, health care, etc. Hardware implementation, specifically using FPGA and ASIC due to their high performance and low power consumption, is considered an efficient method. However, implementation on these platforms is difficult for neural network designers since they usually h...

The changing face of Turner syndrome.

C. Gravholt, M. Viuff, J. Just, K. Sandahl, Sara Brun et al. In: Endocrine reviews. 2022

Abstract: Turner syndrome is a condition in females missing the second sex chromosome (45,X) or parts thereof. It is considered a rare genetic condition and is associated with a wide range of clinical stigmata, such as short stature, ovarian dysgenesis, delayed puberty and infertility, congenital malformations, endocrine disorders, including a range of autoimmune conditions and type 2 diabetes and neurocogn...

The epidemiology of non-alcoholic steatohepatitis (NASH) in the United States between 2010-2020: a population-based study.

Osama Hamid, Ahmed Eltelbany, Abdul Mohammed, K. A. Alchirazi, S. Trakroo et al. In: Annals of hepatology. 2022

Constituent Systems Quality Requirements Engineering in Co-opetitive Systems of Systems

Pontus Svenson, Thomas Olsson, J. Axelsson. In: 2022 17th Annual System of Systems Engineering Conference (SOSE). 2022

Abstract: Systems of systems consist of independently owned, operated, and developed constituent systems that work together for mutual benefit. Co-opetitive systems of systems consist of constituent systems that in addition also compete. In this paper, we focus on quality requirement engineering for a constituent systems developer in such SoS. We discuss the needs and requirements of a structured quality re...

HERMES: Heuristic Multi-queue Scheduler for TSN Time-Triggered Traffic with Zero Reception Jitter Capabilities

D. Bujosa, M. Ashjaei, A. Papadopoulos, Thomas Nolte, J. Proenza. In: Proceedings of the 30th International Conference on Real-Time Networks and Systems. 2022

Abstract: The Time-Sensitive Networking (TSN) standards provide a toolbox of features to be utilized in various application domains.The core TSN features include deterministic zero-jitter and low-latency data transmission and transmitting traffic with various levels of time-criticality on the same network. To achieve a deterministic transmission, the TSN standards define a time-aware shaper that coordinates...

Practices and Infrastructures for Machine Learning Systems: An Interview Study in Finnish Organizations

Dennis Muiruri, Lucy Ellen Lwakatare, J. Nurminen, T. Mikkonen. In: Computer. 2022

Abstract: Using interviews, we investigated the practices and toolchains for machine learning (ML)-enabled systems from 16 organizations across various domains in Finland. We observed some well-established artificial intelligence engineering approaches, but practices and tools are still needed for the testing and monitoring of ML-enabled systems....

Customer Support In The Era of Continuous Deployment: A Software-Intensive Embedded Systems Case Study

Anas Dakkak, A. Munappy, Jan Bosch, H. Olsson. In: 2022 IEEE 46th Annual Computers, Software, and Applications Conference (COMPSAC). 2022

Abstract: Supporting customers after they acquire the prod-uct is essential for companies producing and selling software-intensive embedded systems products. Generally, customer sup-port is the first interaction point between the product users and the product vendor. Customer support is often engaged with answering customers' questions, troubleshooting, fault identification, and fixing product faults. While...

Prostate Cancer Detection Rate of Manually Operated and Robot-assisted In-bore Magnetic Resonance Imaging Targeted Biopsy

Mads Sandahl, K. Sandahl, E. Marinovskij, Tomas Frahm Nielsen, K. D. Sørensen et al. In: European Urology Open Science. 2022

Abstract: Take Home Message We did not see evidence of an effect on the detection rate or the risk difference for prostate cancer between manually operated and robot-assisted in-bore magnetic resonance imaging targeted biopsy. Cost effectiveness should be considered carefully when choosing the biopsy system....

Early Concept Evaluation of a Runtime Monitoring Approach for Safe Automated Driving

Ayhan Mehmed, Aida Čaušević, W. Steiner, S. Punnekkat. In: 2022 IEEE Zooming Innovation in Consumer Technologies Conference (ZINC). 2022

Abstract: Being used in key features, such as sensing and intelligent path planning, Artificial Intelligence (AI) has become an inevitable part of automated vehicles (AVs). However, their usage in the automotive industry always comes with a “label” that questions their impact on the overall AV safety. This paper focuses on the safe deployment of AI-based AVs. Among the various ways for ensuring the safety o...

Structural Causal Models as Boundary Objects in AI System Development

H. Heyn, E. Knauss. In: 2022 IEEE/ACM 1st International Conference on AI Engineering – Software Engineering for AI (CAIN). 2022

Abstract: Artificial Intelligence (AI), and especially machine learning can be used to find statistical patterns in datasets with thousands of variables with ease. But an understanding of causality is difficult to learn for a machine. For humans however, realising causal relations is often not a difficult process, as we can refer to experience or scientific knowledge. Here we propose the use of structural c...

Run-Time Adaptation of Quality Attributes for Automated Planning

Rebekka Wohlrab, Rômulo Meira-Góes, Michael Vierhauser. In: 2022 International Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS). 2022

Abstract: Self-adaptive systems typically operate in heterogeneous environments and need to optimize their behavior based on a variety of quality attributes to meet stakeholders’ needs. During adaptation planning, these quality attributes are considered in the form of constraints, describing requirements that must be fulfilled, and utility functions, which are used to select an optimal plan among several al...

Nodeguard: A Virtualized Introspection Security Approach for the Modern Cloud Data Center

Maha Shamseddine, Auday Al-Dulaimy, W. Itani, T. Nolte, A. Papadopoulos. In: 2022 22nd IEEE International Symposium on Cluster, Cloud and Internet Computing (CCGrid). 2022

Abstract: This paper presents Nodeguard, a security approach for detecting and isolating misbehaving Virtual Machines (VMs) in multi-tenant virtualized cloud data centers, based on the Virtual Machine Introspection (VMI) monitoring primitives. Nodeguard employs a divide-and-conquer strategy that checks logical groups of VMs to ensure the efficiency of the detection mechanisms which opportunistically approac...

One Block on Top of the Other: Using Minetest to Teach Scrum

J. Steghöfer, Håkan Burden. In: 2022 IEEE/ACM 44th International Conference on Software Engineering: Software Engineering Education and Training (ICSE-SEET). 2022

Abstract: Teaching Scrum using Lego has been an established teaching technique for years. However, the COVID-19 pandemic forced teachers all over the globe to rethink this valuable teaching tool. In this experience report, we show how we transferred our version of a Lego Scrum workshop into the world of Minetest, an open-source variant of Minecraft. We detail our reasoning, the concrete technical and pedago...

Evaluating System-Level Test Generation for Industrial Software: A Comparison between Manual, Combinatorial and Model-Based Testing

M. Zafar, Wasif Afzal, Eduard Paul Enoiu. In: 2022 IEEE/ACM International Conference on Automation of Software Test (AST). 2022

Abstract: Adequate testing of safety-critical systems is vital to ensure correct functional and non-functional operations. Previous research has shown that testing such systems requires a lot of effort, thus automated testing techniques have found a certain degree of success. However, automated testing has not replaced the need for manual testing, rather a common industrial practice exhibits a balance betwe...

Technical Debt Problems and Concerns

Jeffrey C. Carver, X. Larrucea, A. Serebrenik, M. Staron. In: IEEE Softw.. 2022