Deep configuration performance learning: A systematic survey and taxonomy
Performance is arguably the most crucial attribute that reflects the quality of a configurable
software system. However, given the increasing scale and complexity of modern software …
software system. However, given the increasing scale and complexity of modern software …
Learning software configuration spaces: A systematic literature review
Most modern software systems (operating systems like Linux or Android, Web browsers like
Firefox or Chrome, video encoders like ffmpeg, x264 or VLC, mobile and cloud applications …
Firefox or Chrome, video encoders like ffmpeg, x264 or VLC, mobile and cloud applications …
Learning curves for decision making in supervised machine learning: a survey
F Mohr, JN van Rijn - Machine Learning, 2024 - Springer
Learning curves are a concept from social sciences that has been adopted in the context of
machine learning to assess the performance of a learning algorithm with respect to a certain …
machine learning to assess the performance of a learning algorithm with respect to a certain …
Finding Faster Configurations Using FLASH
Finding good configurations of a software system is often challenging since the number of
configuration options can be large. Software engineers often make poor choices about …
configuration options can be large. Software engineers often make poor choices about …
Finding near-optimal configurations in product lines by random sampling
Software Product Lines (SPLs) are highly configurable systems. This raises the challenge to
find optimal performing configurations for an anticipated workload. As SPL configuration …
find optimal performing configurations for an anticipated workload. As SPL configuration …
Transfer learning for performance modeling of configurable systems: An exploratory analysis
Modern software systems provide many configuration options which significantly influence
their non-functional properties. To understand and predict the effect of configuration options …
their non-functional properties. To understand and predict the effect of configuration options …
Distance-based sampling of software configuration spaces
C Kaltenecker, A Grebhahn… - 2019 IEEE/ACM 41st …, 2019 - ieeexplore.ieee.org
Configurable software systems provide a multitude of configuration options to adjust and
optimize their functional and non-functional properties. For instance, to find the fastest …
optimize their functional and non-functional properties. For instance, to find the fastest …
Data-efficient performance learning for configurable systems
Many software systems today are configurable, offering customization of functionality by
feature selection. Understanding how performance varies in terms of feature selection is key …
feature selection. Understanding how performance varies in terms of feature selection is key …
Using bad learners to find good configurations
Finding the optimally performing configuration of a software system for a given setting is
often challenging. Recent approaches address this challenge by learning performance …
often challenging. Recent approaches address this challenge by learning performance …
DeepPerf: Performance prediction for configurable software with deep sparse neural network
Many software systems provide users with a set of configuration options and different
configurations may lead to different runtime performance of the system. As the combination …
configurations may lead to different runtime performance of the system. As the combination …