October 6, 2020December 28, 2020mrksbrg Enabling Image Recognition on Constrained Devices Using Neural Network Pruning and a CycleGAN
July 3, 2020July 17, 2020mrksbrg Illuminating a Blind Spot in Digitalization – Software Development in Sweden’s Private and Public Sector
September 24, 2019July 15, 2020mrksbrg Requirements Engineering for Machine Learning: Perspectives from Data Scientists
August 27, 2019August 27, 2019mrksbrg SZZ Unleashed: An Open Implementation of the SZZ Algorithm – Featuring Example Usage in a Study of Just-in-Time Bug Prediction for the Jenkins Project
April 22, 2019May 23, 2019mrksbrg Machine Learning to Guide Performance Testing: An Autonomous Test Framework
January 19, 2019April 27, 2019mrksbrg Feedback from Operations to Software Development – A DevOps Perspective on Runtime Metrics and Logs
May 28, 2018July 13, 2018mrksbrg Learning-based Response Time Analysis in Real-Time Embedded Systems: A Simulation-based Approach
May 28, 2018July 13, 2018mrksbrg Automotive Safety and Machine Learning: Initial Results from a Study on How to Adapt the ISO 26262 Safety Standard
April 9, 2018July 15, 2018mrksbrg Learning-Based Self-Adaptive Assurance of Timing Properties in a Real-Time Embedded System