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 …

Many software systems today are configurable, offering customization of functionality by
feature selection. Understanding how performance varies in terms of feature selection is key …

As software systems grow in complexity and the space of possible configurations increases
exponentially, finding the near-optimal configuration of a software system becomes …

Modern software systems provide many configuration options which significantly influence
their non-functional properties. To understand and predict the effect of configuration options …

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

Numerous software systems are highly configurable and provide a myriad of configuration
options that users can tune to fit their functional and performance requirements (eg …

Almost every complex software system today is configurable. While configurability has many
benefits, it challenges performance prediction, optimization, and debugging. Often, the …

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

Modeling the performance of a highly configurable software system requires capturing the
influences of its configuration options and their interactions on the system's performance …

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