Throughout the last century, the automobile industry achieved remarkable milestones in
manufacturing reliable, safe, and affordable vehicles. Because of significant recent …

Recently, we have been witnessing a rapid increase in the use of machine learning
techniques in self-adaptive systems. Machine learning has been used for a variety of …

Ensuring the safety of fully autonomous vehicles requires a multi-disciplinary approach
across all the levels of functional hierarchy, from hardware fault tolerance, to resilient …

The idea for this book arose from a series of lectures on modern programming paradigms,
feature-oriented programming, and software product lines that are continuously held at the …

The complexity of information systems is increasing in recent years, leading to increased
effort for maintenance and configuration. Self-adaptive systems (SASs) address this issue …

Runtime adaptation mechanisms that leverage software models extend the applicability of
model-driven engineering techniques to the runtime environment. Contemporary mission …

A concise and practical introduction to the foundations and engineering principles of self-
adaptation Though it has recently gained significant momentum, the topic of self-adaptation …

Machine learning (ML) is used increasingly in real-world applications. In this paper, we
describe our ongoing endeavor to define characteristics and challenges unique to …

One of the most important features of current state-of-the-art SAT solvers is the use of conflict
based backtracking and learning techniques. In this paper, we generalize various conflict …

To deal with the increasing complexity of software systems and uncertainty of their
environments, software engineers have turned to self-adaptivity. Self-adaptive systems are …