Title
Ernst Denert Award for Software Engineering 2020 : practice meets foundations / Michael Felderer, Wilhelm Hasselbring, Heiko Koziolek, Florian Matthes, Lutz Prechelt, Ralf Reussner, Bernhard Rumpe, Ina Schaefer, editors.
ISBN
9783030831288 (electronic bk.)
3030831280 (electronic bk.)
9783030831301
3030831302
Published
Cham : Springer, [2022]
Copyright
©2022
Language
English
Description
1 online resource : illustrations (some color).
Other Standard Identifiers
10.1007/978-3-030-83128-8 doi
Call Number
QA76.758 .E76 2022
Dewey Decimal Classification
005.1
Summary
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.
Access Note
Open access
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed March 11, 2022).
Available in Other Form
Print version: 9783030831271
Ernst Denert Software Engineering Award 2020
Some Patterns of Convincing Software Engineering Research, or: How to Win the Ernst Denert Software Engineering Award 2020
What You See Is What You Get: Practical Effect Handlers in Capability-Passing Style
How to Effectively Reduce Failure Analysis Time?
Open Source Software Governance: Distilling and Applying Industry Best Practices
Dynamically Scalable Fog Architectures
Crossing Disciplinary Borders to Improve Requirements Communication
DevOps Use: A Community-Oriented Methodology for Societal Software Engineering
Hybrid Differential Software Testing
Ever Change a Running System: Structured Software Reengineering Using Automatically Proven-Correct Transformation Rules
Static Worst-Case Analyses and Their Validation Techniques for Safety-Critical Systems
Improving the Model-Based Systems Engineering Process
Understanding How Pair Programming Actually Works in Industry: Mechanisms, Patterns, and Dynamics.
