Abstract—As more and more mobile applications are developed, mobile app testing and quality assurance have
become very important. Due to the diversity of mobile devices and platforms, compatibility testing for mobile apps has been identified as one urgent and challenging issue. There are two
major reasons contributing to this issue. They are: a) the large number of mobile devices with diverse features and platforms which are upgraded frequently; b) a higher cost and complexity in mobile app compatibility testing. This paper proposes one optimized compatibility testing strategy using a
statistical approach to reduce test costs, and improve engineer’s operation efficiency. The paper provides a solution to generate an optimized compatibility test sequence for mobile
apps using the K-Means statistical algorithm. A compatibility testing service has been proposed for mobile apps. Moreover, two case study results are reported to demonstrate its potential
application and effectiveness.