Abstract
The paper presents classification of the text defects. It provides a list of user interface text defects and the method based on static/dynamic code analysis for detecting defects in Android applications. This paper proposes a list of static analysis rules for detecting every defect and the tool model implementing those rules. The method and the tool are based on the application of multiple Android application emulators, execution of the application through certain execution paths on multiple hardware and software configurations while taking application screen-shots. The defects are identified by running analysis rules on each taken screen-shot and searching for defect patterns. The results are presented by testing sample Android application.
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Packevičius, Š., Barisas, D., Ušaniov, A., Guogis, E., Bareiša, E. (2018). Text Semantics and Layout Defects Detection in Android Apps Using Dynamic Execution and Screenshot Analysis. In: Damaševičius, R., Vasiljevienė, G. (eds) Information and Software Technologies. ICIST 2018. Communications in Computer and Information Science, vol 920. Springer, Cham. https://doi.org/10.1007/978-3-319-99972-2_22
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