Automated Localization Testing of Mobile Applications Method

Abstract

As more mobile applications become available to a broader user base, the need to localize applications to various languages and cultures grows. The need for localization demands localization testing. In this paper, the user interface localization problems are identified and categorized. The automated testing method containing automated localization defects detection algorithms using applications’ screenshots analysis is presented. The proposed method was validated experimentally by comparing automated testing and manual review. The experiment contained an automated and manual review of 781 Android applications. The manual review results were compared with the proposed automated testing method results. The comparison shows that automated methods can save localization testing time and discover more defects. However, the proposed method does not fully substitute manual testing but can act as a helper.