TY - GEN
T1 - Automated testing framework for mobile applications based in user-interaction features and historical bug information
AU - Méndez-Porras, Abel
AU - Alfaro-Velásco, Jorge
AU - Jenkins, Marcelo
AU - Porras, Alexandra Martínez
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015/12/16
Y1 - 2015/12/16
N2 - Mobile applications support a set of user-interaction features that are independent of the application logic. These features include content presentation or navigation features. Rotating the device, gestures such as scroll or zoom into screens are some examples. In this paper an automated testing framework for mobile applications is proposed. Our framework integrates user-interaction features, historical bug information, and an interest point detector and descriptor to identify new bugs. A model of the application is automatically created and explored. While the exploration the model is performed we introduce user-interaction features and we capturing images. These images are passed to a bug analyzer to search bugs. The bug analyzer uses an interest point detector and descriptor to search for areas prone to bugs in the captured images. The use of historical bug information is proposed to determine sequences of events to better search bugs in applications. Preliminary results show that using the proposed technique is feasible to identify bugs in mobile applications.
AB - Mobile applications support a set of user-interaction features that are independent of the application logic. These features include content presentation or navigation features. Rotating the device, gestures such as scroll or zoom into screens are some examples. In this paper an automated testing framework for mobile applications is proposed. Our framework integrates user-interaction features, historical bug information, and an interest point detector and descriptor to identify new bugs. A model of the application is automatically created and explored. While the exploration the model is performed we introduce user-interaction features and we capturing images. These images are passed to a bug analyzer to search bugs. The bug analyzer uses an interest point detector and descriptor to search for areas prone to bugs in the captured images. The use of historical bug information is proposed to determine sequences of events to better search bugs in applications. Preliminary results show that using the proposed technique is feasible to identify bugs in mobile applications.
KW - automated software testing
KW - historical bug information and interest point detector and descriptor
KW - mobile applications
KW - user-interaction features
UR - https://www.scopus.com/pages/publications/84961895927
U2 - 10.1109/CLEI.2015.7359996
DO - 10.1109/CLEI.2015.7359996
M3 - Contribución a la conferencia
AN - SCOPUS:84961895927
T3 - Proceedings - 2015 41st Latin American Computing Conference, CLEI 2015
BT - Proceedings - 2015 41st Latin American Computing Conference, CLEI 2015
A2 - Cuadros-Vargas, Alex
A2 - Cancela, Hector
A2 - Cuadros-Vargas, Ernesto
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 41st Latin American Computing Conference, CLEI 2015
Y2 - 19 October 2015 through 23 October 2015
ER -