123 citations · 154 across the 12 of their papers we have counts for
4 papers · 1 filter
Transfer Learning for Performance Modeling of Configurable Systems: An Exploratory Analysis
Pooyan Jamshidi, Norbert Siegmund, Miguel Velez +3
Modern software systems provide many configuration options which significantly influence their non-functional properties. To understand and predict the effect of configuration opti…
Transfer Learning for Improving Model Predictions in Highly Configurable Software
Pooyan Jamshidi, Miguel Velez, Christian Kästner +2
Modern software systems are built to be used in dynamic environments using configuration capabilities to adapt to changes and external uncertainties. In a self-adaptation context,…
Using Bad Learners to find Good Configurations
Vivek Nair, Tim Menzies, Norbert Siegmund +1
Finding the optimally performing configuration of a software system for a given setting is often challenging. Recent approaches address this challenge by learning performance model…
Faster Discovery of Faster System Configurations with Spectral Learning
Vivek Nair, Tim Menzies, Norbert Siegmund +1
Despite the huge spread and economical importance of configurable software systems, there is unsatisfactory support in utilizing the full potential of these systems with respect to…