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 …

Today, many industrial processes are undergoing digital transformation, which often
requires the integration of well-understood domain models and state-of-the-art machine …

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

Modern computer systems are highly configurable, with the total variability space sometimes
larger than the number of atoms in the universe. Understanding and reasoning about the …

Adaptive façades (AFs) are technologies with great potential to reduce energy consumption
by changing their properties to adapt to variable climatic conditions. This paper proposes an …

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 …

Accurate prediction of thermal load in buildings is essential for efficient energy planning. In
this study, we investigate the application of Artificial Neural Networks (ANNs) to predict …

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

To ease the expensive measurements during configuration tuning, it is natural to build a
surrogate model as the replacement of the system, and thereby the configuration …

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 …