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 …

Predictive models are one of the most important techniques that are widely applied in many
areas of software engineering. There have been a large number of primary studies that …

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

Detecting and understanding reasons for defects and inadvertent behavior in software is
challenging due to their increasing complexity. In configurable software systems, the …

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

Artificial intelligence has gained considerable momentum in software engineering, but there
are major challenges that make this domain special. We review recent advances, raise …

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 …

Determining whether a configurable software system has a performance bug or it was
misconfigured is often challenging. While there are numerous debugging techniques that …

With large scale and complex configurable systems, it is hard for users to choose the right
combination of options (ie, configurations) in order to obtain the wanted trade-off between …

Many modern software systems are highly configurable, allowing the user to tune them for
performance and more. Current performance modeling approaches aim at finding …