A top-down design approach for an automated testing framework

Abel Méndez-Porras, Mario Nieto Hidalgo, Juan Manuel García-Chamizo, Marcelo Jenkins, Alexandra Martínez Porras

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

Mobile applications have become popular work tools. Portability and ease of Internet connectivity are characteristics that favor this adoption. However, mobile applications sometimes incorrectly process events associated with the user-interaction features. These features include content presentation or navigation. Rotating the devices, and gestures such as scroll or zoom into screens are some examples. There is a need to assess the quality with which mobile applications are processing these user-interaction features in order to improve their performance. In this paper, we present a top-down design approach for an automated testing framework for mobile applications. Our framework integrates digital image processing, GUI information, and historical bug information to identify new bugs based on user-interaction features. Our framework captures images before and after applying the user-interaction features and uses the SURF algorithm to identify interest points in each image. We compared interest points to note differences on the screens before and after applying the user-interaction features. This differences helps to find bugs in mobile applications. The first results show that it is feasible to identify bugs with user-interaction features using the proposed technique.

Original languageEnglish
Title of host publicationUbiquitous Computing and Ambient Intelligence
Subtitle of host publicationSensing, Processing, and Using Environmental Information - 9th International Conference, UCAmI 2015, Proceedings
EditorsJuan M. García-Chamizo, Giancarlo Fortino, Sergio F. Ochoa
PublisherSpringer Verlag
Pages37-49
Number of pages13
ISBN (Print)9783319264004
DOIs
StatePublished - 2015
Event9th International Conference on Ubiquitous Computing and Ambient Intelligence, UCAmI 2015 - Puerto Varas, Chile
Duration: 1 Dec 20154 Dec 2015

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9454
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference9th International Conference on Ubiquitous Computing and Ambient Intelligence, UCAmI 2015
Country/TerritoryChile
CityPuerto Varas
Period1/12/154/12/15

Keywords

  • Automated testing
  • Historical bug information
  • Interest points
  • Mobile applications
  • Top-down design
  • User-interaction features

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