Since 2009, the deep learning revolution, which was triggered by the introduction of
ImageNet, has stimulated the synergy between Software Engineering (SE) and Machine …

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 …

DevOps has emerged as one of the most rapidly evolving software development paradigms.
With the growing concerns surrounding security in software systems, the DevSecOps …

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

Learning and predicting the performance of given software configurations are of high
importance to many software engineering activities. While configurable software systems will …

Predicting the performance of highly configurable software systems is the foundation for
performance testing and quality assurance. To that end, recent work has been relying on …

Reducing energy consumption of software is an increasingly important objective, and there
has been extensive research for data centers, smartphones, and embedded systems …

Machine/deep learning models have been widely adopted to predict the configuration
performance of software systems. However, a crucial yet unaddressed challenge is how to …

Highly configurable systems enable customers to flexibly configure the systems in diverse
deployment environments. The flexibility of configurations also poses challenges for …

From business processes to course management, variability-intensive software systems
(VIS) are now ubiquitous. One can configure these systems' behaviour by activating options …