TY - GEN
T1 - A top-down design approach for an automated testing framework
AU - Méndez-Porras, Abel
AU - Nieto Hidalgo, Mario
AU - García-Chamizo, Juan Manuel
AU - Jenkins, Marcelo
AU - Porras, Alexandra Martínez
N1 - Publisher Copyright:
© Springer International Publishing Switzerland 2015.
PY - 2015
Y1 - 2015
N2 - 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.
AB - 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.
KW - Automated testing
KW - Historical bug information
KW - Interest points
KW - Mobile applications
KW - Top-down design
KW - User-interaction features
UR - http://www.scopus.com/inward/record.url?scp=84952312195&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-26401-1_4
DO - 10.1007/978-3-319-26401-1_4
M3 - Contribución a la conferencia
AN - SCOPUS:84952312195
SN - 9783319264004
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 37
EP - 49
BT - Ubiquitous Computing and Ambient Intelligence
A2 - García-Chamizo, Juan M.
A2 - Fortino, Giancarlo
A2 - Ochoa, Sergio F.
PB - Springer Verlag
T2 - 9th International Conference on Ubiquitous Computing and Ambient Intelligence, UCAmI 2015
Y2 - 1 December 2015 through 4 December 2015
ER -