This open access book provides an overview of the dissertations of the eleven nominees for the
Ernst Denert Award for Software Engineering in 2020. The prize kindly sponsored by the Gerlind
& Ernst Denert Stiftung is awarded for excellent work within the discipline of Software
Engineering which includes methods tools and procedures for better and efficient development
of high quality software. An essential requirement for the nominated work is its applicability
and usability in industrial practice. The book contains eleven papers that describe the works
by Jonathan Brachthäuser (EPFL Lausanne) entitled What You See Is What You Get: Practical
Effect Handlers in Capability-Passing Style Mojdeh Golagha's (Fortiss Munich) thesis How to
Effectively Reduce Failure Analysis Time? Nikolay Harutyunyan's (FAU Erlangen-Nürnberg) work
on Open Source Software Governance Dominic Henze's (TU Munich) research about Dynamically
Scalable Fog Architectures Anne Hess's (Fraunhofer IESE Kaiserslautern) work on Crossing
Disciplinary Borders to Improve Requirements Communication Istvan Koren's (RWTH Aachen U)
thesis DevOpsUse: A Community-Oriented Methodology for Societal Software Engineering Yannic
Noller's (NU Singapore) work on Hybrid Differential Software Testing Dominic Steinhofel's (TU
Darmstadt) thesis entitled Ever Change a Running System: Structured Software Reengineering
Using Automatically Proven-Correct Transformation Rules Peter Wägemann's (FAU
Erlangen-Nürnberg) work Static Worst-Case Analyses and Their Validation Techniques for
Safety-Critical Systems Michael von Wenckstern's (RWTH Aachen U) research on Improving the
Model-Based Systems Engineering Process and Franz Zieris's (FU Berlin) thesis on Understanding
How Pair Programming Actually Works in Industry: Mechanisms Patterns and Dynamics - which
actually won the award. The chapters describe key findings of the respective works show their
relevance and applicability to practice and industrial software engineering projects and
provide additional information and findings that have only been discovered afterwards e.g.
when applying the results in industry. This way the book is not only interesting to other
researchers but also to industrial software professionals who would like to learn about the
application of state-of-the-art methods in their daily work.
