97 citations · 156 across the 11 of their papers we have counts for
13 papers
A Study of Adoption and Effects of DevOps Practices
Tyron Offerman, Robert Blinde, Christoph Johann Stettina +1
Many organizations adopt DevOps practices and tools in order to break down silos within the organization, improve software quality and delivery, and increase customer satisfaction.…
A Checklist for Explainable AI in the Insurance Domain
Olivier Koster, Ruud Kosman, Joost Visser
Artificial intelligence (AI) is a powerful tool to accomplish a great many tasks. This exciting branch of technology is being adopted increasingly across varying sectors, including…
Adapting Software Architectures to Machine Learning Challenges
Alex Serban, Joost Visser
Unique developmental and operational characteristics of ML components as well as their inherent uncertainty demand robust engineering principles are used to ensure their quality. W…
Practices for Engineering Trustworthy Machine Learning Applications
Alex Serban, Koen van der Blom, Holger Hoos +1
Following the recent surge in adoption of machine learning (ML), the negative impact that improper use of ML can have on users and society is now also widely recognised. To address…
Adversarial Examples on Object Recognition: A Comprehensive Survey
Alex Serban, Erik Poll, Joost Visser
Deep neural networks are at the forefront of machine learning research. However, despite achieving impressive performance on complex tasks, they can be very sensitive: Small pertur…
GraphRepo: Fast Exploration in Software Repository Mining
Alex Serban, Magiel Bruntink, Joost Visser
Mining and storage of data from software repositories is typically done on a per-project basis, where each project uses a unique combination of data schema, extraction tools, and (…