Author:
Méndez-Porras Abel,Alfaro-Velasco Jorge,Martínez Alexandra
Abstract
Developing mobile applications without defects or in a minimum number is an important challenge for programmers and quality assurance teams. Automated software test can be the key to improve the traditional manual testing, often time consuming and repetitive. Mobile applications support user-interaction characteristics, whichareindependentfromtheapplicationlogic.Theyincludecontentpresentationornavigationfeatures,such as scroll or zoom into screens, and a rotating device.
In this paper, an automated testing framework is proposed and evaluated. This framework integrates user- interaction features, historical bug information, and an interest points detector and descriptor to identify new bugs. It has shown that it works well detecting bugs associated with user-interactions.
Publisher
Instituto Tecnologico de Costa Rica
Cited by
1 articles.
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1. DeepTestDroid A Platform for Automated Application Testing Using Deep Learning;2023 4th International Conference on Big Data Analytics and Practices (IBDAP);2023-08-25