DocumentCode :
2177959
Title :
Reliability Prediction of Smartphone Applications through Failure Data Analysis
Author :
Meskini, Sonia ; Nassif, Ali Bou ; Capretz, Luiz Fernando
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Western Ontario, London, ON, Canada
fYear :
2013
fDate :
2-4 Dec. 2013
Firstpage :
124
Lastpage :
125
Abstract :
Smart phones have become the most used electronic devices. They carry out most of the functionalities of desktops, offering various useful applications that suit the user´s needs. Therefore, instead of being an operator, the user has become the main controller of the device and its applications. Therefore, its reliability becomes an emergent requirement. In this paper, we shortly highlight the shortcomings of Software Reliability Growth Models (SRGMs) when applied to Smartphone applications and suggest future directions for reliability prediction in the mobile area.
Keywords :
smart phones; software reliability; SRGM; electronic devices; failure data analysis; smart phone application reliability prediction; software reliability growth models; user needs; Computer crashes; Estimation; Mobile communication; Software; Software engineering; Software reliability; Failure data; SRGMs; Smartphone applications;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Dependable Computing (PRDC), 2013 IEEE 19th Pacific Rim International Symposium on
Conference_Location :
Vancouver, BC
Type :
conf
DOI :
10.1109/PRDC.2013.24
Filename :
6820850
Link To Document :
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