2 citations · 2 across the 6 of their papers we have counts for
7 papers · 1 filter
Towards Continuous Experiment-driven MLOps
Keerthiga Rajenthiram, Milad Abdullah, Ilias Gerostathopoulos +5
Despite advancements in MLOps and AutoML, ML development still remains challenging for data scientists. First, there is poor support for and limited control over optimizing and evo…
Self-Adaptation in Industry: A Survey
Danny Weyns, Ilias Gerostathopoulos, Nadeem Abbas +13
Computing systems form the backbone of many areas in our society, from manufacturing to traffic control, healthcare, and financial systems. When software plays a vital role in the…
Preliminary Results of a Survey on the Use of Self-Adaptation in Industry
Danny Weyns, Ilias Gerostathopoulos, Nadeem Abbas +9
Self-adaptation equips a software system with a feedback loop that automates tasks that otherwise need to be performed by operators. Such feedback loops have found their way to a v…
How do we Evaluate Self-adaptive Software Systems?
Ilias Gerostathopoulos, Thomas Vogel, Danny Weyns +1
With the increase of research in self-adaptive systems, there is a need to better understand the way research contributions are evaluated. Such insights will support researchers to…
Characterizing Technical Debt and Antipatterns in AI-Based Systems: A Systematic Mapping Study
Justus Bogner, Roberto Verdecchia, Ilias Gerostathopoulos
Background: With the rising popularity of Artificial Intelligence (AI), there is a growing need to build large and complex AI-based systems in a cost-effective and manageable way.…
Engineering for a Science-Centric Experimentation Platform
Nikos Diamantopoulos, Jeffrey Wong, David Issa Mattos +4
Netflix is an internet entertainment service that routinely employs experimentation to guide strategy around product innovations. As Netflix grew, it had the opportunity to explore…