Software Quality: The Next Big Thing in Software Engineering and Quality

14th International Conference on Software Quality, SWQD 2022, Vienna, Austria, May 17¿19, 2022, Proceedings
Herausgegeben:Mendez, Daniel; Wimmer, Manuel; Winkler, Dietmar; Biffl, Stefan; Bergsmann, Johannes

• Broschiertes Buch

Produktbeschreibung

This book constitutes the refereed proceedings of the 14th Software Quality Days Conference, SWQD 2022, held in Vienna, Austria, during May 17-19, 2022.

The Software Quality Days (SWQD) conference started in 2009 and has grown to the biggest conference on software quality in Europe. 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 2022 is "What's The Next Big Thing in Software Engineering and Quality?".

The 4 full papers presented in this volume were carefully reviewed and selected from 8 submissions. The contributions were organized in two topical sections named: AI in Software Engineering; and Quality Assurance for Software-Intensive Systems. The book also contains two invited talks.

Produktdetails

• Lecture Notes in Business Information Processing 439
• Verlag: Springer / Springer International Publishing / Springer, Berlin
• Artikelnr. des Verlages: 978-3-031-04114-3
• 1st ed. 2022
• Seitenzahl: 120
• Erscheinungstermin: 12. April 2022
• Englisch
• Abmessung: 235mm x 155mm x 7mm
• Gewicht: 195g
• ISBN-13: 9783031041143
• ISBN-10: 3031041143
• Artikelnr.: 63611387

Inhaltsangabe

Invited Talks.- Continuous Software Engineering in the Wild.- Motivations for and benefits of adopting the Test Maturity Model integration (TMMi).- AI in Software Engineering.- Automated Code Review Comment Classification to Improve Modern Code Reviews.- Preliminary Study on Using Text- and Image-Based Machine Learning to Predict Software Maintainability.- Quality Assurance for Software-Intensive Systems.- Specification of Passive Test Cases using an Improved T-EARS Language.- A Quality Model and Checklists for Reviewing Automotive Test Case Specifications.