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 …

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

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 …

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 …

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

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