Abstract Context: Software Product Lines (SPL) evolve when there are changes in the
requirements, product structure or the technology being used. Different approaches have …

Most modern software systems can be configured to fulfill specific customer requirements,
adapting their behavior as required. However, such adaptations also increase the need to …

The growing popularity of machine learning (ML) applications has led to the introduction of
software engineering tools such as Data Versioning Control (DVC), MLFlow and Pachyderm …

Almost every sufficiently complex software system today is configurable. Conditional
compilation is a simple variability-implementation mechanism that is widely used in open …

Variability-sensitive verification pursues effective analysis of the exponentially many variants
of a program family. Several variability-aware techniques have been proposed, but …

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 …

Feature code is often scattered across a software system. Scattering is not necessarily bad if
used with care, as witnessed by systems with highly scattered features that evolved …

A key challenge to software product line engineering is to explore a huge space of various
products and to find optimal or near-optimal solutions that satisfy all predefined constraints …

Highly configurable software often uses preprocessor annotations to handle variability.
However, understanding, maintaining, and evolving code with such annotations is difficult …

Highly configurable systems are highly complex systems. The Linux kernel is arguably one
of the most well-known examples. Given its vast configuration space, researchers have used …