Title :
Compatibility Testing Service for Mobile Applications
Author :
Tao Zhang ; Gao, Jerry ; Jing Cheng ; Uehara, Tadahiro
Author_Institution :
Sch. of Software & Microelectron., Northwest Polytech. Univ., Xi´an, China
fDate :
March 30 2015-April 3 2015
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.
Keywords :
mobile computing; statistical analysis; compatibility testing service; k-means statistical algorithm; mobile app compatibility testing; mobile app testing; mobile devices; quality assurance; statistical approach; Analytical models; Databases; Home appliances; Mobile communication; Mobile handsets; Servers; Testing; clustering algorithm; compatibility testing; mobile testing; software testing; test coverage;
Conference_Titel :
Service-Oriented System Engineering (SOSE), 2015 IEEE Symposium on
Conference_Location :
San Francisco Bay, CA
DOI :
10.1109/SOSE.2015.35