To What Extent Is Stress Testing of Android TV Applications Automated in Industrial Environments?
This addresses the problem of tedious and unreliable stress testing for smart TV applications in industry, offering incremental improvements in automation and reusability.
The study investigated the extent to which stress testing of Android TV applications can be fully automated in industrial environments, finding that with specific automation supports, 87% of test specifications for one TV model could be fully automated and 71.4% were reusable for a subsequent model with major upgrades, representing improvements of 28% and 38% respectively compared to without such supports.
An Android-based smart Television (TV) must reliably run its applications in an embedded program environment under diverse hardware resource conditions. Owing to the diverse hardware components used to build numerous TV models, TV simulators are usually not high enough in fidelity to simulate various TV models, and thus are only regarded as unreliable alternatives when stress testing such applications. Therefore, even though stress testing on real TV sets is tedious, it is the de facto approach to ensure the reliability of these applications in the industry. In this paper, we study to what extent stress testing of smart TV applications can be fully automated in the industrial environments. To the best of our knowledge, no previous work has addressed this important question. We summarize the find-ings collected from 10 industrial test engineers to have tested 20 such TV applications in a real production environment. Our study shows that the industry required test automation supports on high-level GUI object controls and status checking, setup of resource conditions and the interplay between the two. With such supports, 87% of the industrial test specifications of one TV model can be fully automated and 71.4% of them were found to be fully reusable to test a subsequent TV model with major up-grades of hardware, operating system and application. It repre-sents a significant improvement with margins of 28% and 38%, respectively, compared to stress testing without such supports.