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Reliability Models for Smartphone Applications

EasyChair Preprint no. 8210

27 pagesDate: June 8, 2022


Smartphones are becoming necessary tools in the daily lives of millions of users who rely on these devices and their applications. There are thousands of applications for smartphone devices such as the iPhone, Windows Phone, and Android, thus their reliability has become paramount for their users. This work aims to answer two related questions: (1) Can we assess the reliability of mobile applications by using the traditional reliability models? (2) Can we model adequately the failure data collected from many users? Firstly, it has been proved that the three most used software reliability models have fallen short of the mark when applied to smartphone applications; their failures were traces back to specific features of mobile applications. Secondly, it has been demonstrated that the Weibull and Gamma distribution models can adequately fit the observed failure data, thus providing better means to predict the reliability of smartphone applications.

Keyphrases: failure data, NHPP Model, smartphone applications, software reliability, Software Reliability Growth Models

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
  author = {Sonia Meskini and Ali Bou Nassif and Luiz Fernando Capretz},
  title = {Reliability Models for Smartphone Applications},
  howpublished = {EasyChair Preprint no. 8210},

  year = {EasyChair, 2022}}
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