Title
Acceptance testing of mobile applications: automated emotion tracking for large user groups.
Abstract
Mobile applications1 are nowadays used by everyone. The success of a mobile app highly depends on its user acceptance, which must be checked as part of quality assurance. However, such tests are costly because they usually include testers using the app manually. An obvious solution for improving efficiency is to automate certain test steps. In this article, we present an approach that tracks user emotions automatically to support acceptance testing. Furthermore, we consider user motivation in a positive way with gamification solutions and focus on data privacy aspects in order to gain the trust of potential test users.
Year
DOI
Venue
2018
10.1145/3197231.3197259
MOBILESoft@ICSE
Keywords
DocType
Volume
Test, Emotions, Animojis, User Acceptance, Automation
Conference
2
ISBN
Citations 
PageRank 
978-1-4503-5712-8
3
0.47
References 
Authors
3
3
Name
Order
Citations
PageRank
Simon André Scherr1143.06
Frank Elberzhager214620.44
Konstantin Holl3196.54