Software Quality: The Complexity and Challenges of Software Engineering and Software Quality in the Cloud: 11th International Conference, SWQD 2019, Vienna, Austria, January 15–18, 2019, Proceedings

Description

This book constitutes the refereed proceedings of the 11th Software Quality Days Conference, SWQD 2019, held in Vienna, Austria, in January 2019. The Software Quality Days (SWQD) conference started in 2009 and has grown to the biggest conferences on software quality in Europe with a strong community. The program of the SWQD conference is designed to encompass a stimulating mixture of practical presentations and new research topics in scientific presentations. The guiding conference topic of the SWQD 2019 is “The Complexity and Challenges of Software Engineering and Software Quality in the Cloud”. The 5 full papers and 3 short papers presented in this volume were carefully reviewed and selected from 17 submissions. The volume also contains 2 invited talks. The contributions were organized in topical sections named: multi-disciplinary systems and software engineering; software quality and process improvement; software testing; knowledge engineering and machine learning; source code analysis; and software maintenance. Front Matter ....Pages I-XII Front Matter ....Pages 1-1 Multi-disciplinary Engineering of Production Systems – Challenges for Quality of Control Software (Arndt Lüder, Johanna-Lisa Pauly, Konstantin Kirchheim)....Pages 3-13 Towards a Flexible and Secure Round-Trip-Engineering Process for Production Systems Engineering with Agile Practices (Dietmar Winkler, Felix Rinker, Peter Kieseberg)....Pages 14-30 Front Matter ....Pages 31-31 Relating Verification and Validation Methods to Software Product Quality Characteristics: Results of an Expert Survey (Isela Mendoza, Marcos Kalinowski, Uéverton Souza, Michael Felderer)....Pages 33-44 Listen to Your Users – Quality Improvement of Mobile Apps Through Lightweight Feedback Analyses (Simon André Scherr, Frank Elberzhager, Selina Meyer)....Pages 45-56 Agile Software Process Improvement by Learning from Financial and Fintech Companies: LHV Bank Case Study (Erki Kilu, Fredrik Milani, Ezequiel Scott, Dietmar Pfahl)....Pages 57-69 Front Matter ....Pages 71-71 Why Software Testing Fails: Common Pitfalls Observed in a Critical Smart Metering Project (Stefan Mohacsi, Rudolf Ramler)....Pages 73-92 Front Matter ....Pages 93-93 Mixed Reality Applications in Industry: Challenges and Research Areas (Thomas Moser, Markus Hohlagschwandtner, Gerhard Kormann-Hainzl, Sabine Pölzlbauer, Josef Wolfartsberger)....Pages 95-105 Improving Defect Localization by Classifying the Affected Asset Using Machine Learning (Sam Halali, Miroslaw Staron, Miroslaw Ochodek, Wilhelm Meding)....Pages 106-122 Front Matter ....Pages 123-123 Benefits and Drawbacks of Representing and Analyzing Source Code and Software Engineering Artifacts with Graph Databases (Rudolf Ramler, Georg Buchgeher, Claus Klammer, Michael Pfeiffer, Christian Salomon, Hannes Thaller et al.)....Pages 125-148 Front Matter ....Pages 149-149 Evaluating Maintainability Prejudices with a Large-Scale Study of Open-Source Projects (Tobias Roehm, Daniel Veihelmann, Stefan Wagner, Elmar Juergens)....Pages 151-171 Back Matter ....Pages 173-173