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 …

We address the problem of identifying performance changes in the evolution of configurable
software systems. Finding optimal configurations and configuration options that influence …

Many analyses on configurable software systems are intractable when confronted with
colossal and highly-constrained configuration spaces. These analyses could instead use …

Finding the optimally performing configuration of a software system for a given setting is
often challenging. Recent approaches address this challenge by learning performance …

Understanding the influence of configuration options on performance is key for finding
optimal system configurations, system understanding, and performance debugging. In prior …

Modern software systems often exhibit numerous configuration options to tailor them to user
requirements, including the system's performance behavior. Performance models derived …

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 …

Most software systems provide options that allow users to tailor the system in terms of
functionality and qualities. The increased flexibility raises challenges for understanding the …

Almost every software system provides configuration options to tailor the system to the target
platform and application scenario. Often, this configurability renders the analysis of every …

Performance-influence models can help stakeholders understand how and where
configuration options and their interactions influence the performance of a system. With this …