Reliability Prediction of Smartphone Applications through Failure Data Analysis

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.

[1]  Danny Ho,et al.  Software Effort Estimation in the Early Stages of the Software Life Cycle Using a Cascade Correlation Neural Network Model , 2012, 2012 13th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing.

[2]  Michael R. Lyu,et al.  Handbook of software reliability engineering , 1996 .

[3]  Danny Ho,et al.  Estimating Software Effort Based on Use Case Point Model Using Sugeno Fuzzy Inference System , 2011, 2011 IEEE 23rd International Conference on Tools with Artificial Intelligence.

[4]  Danny Ho,et al.  Calibrating Function Point Backfiring Conversion Ratios Using Neuro-Fuzzy Technique , 2008, Int. J. Uncertain. Fuzziness Knowl. Based Syst..

[5]  Luiz Fernando Capretz,et al.  A Multi-Agent Framework for Testing Distributed Systems , 2006, 30th Annual International Computer Software and Applications Conference (COMPSAC'06).

[6]  Jing Ren,et al.  A neuro-fuzzy tool for software estimation , 2004, 20th IEEE International Conference on Software Maintenance, 2004. Proceedings..

[7]  Anthony I. Wasserman,et al.  Software engineering issues for mobile application development , 2010, FoSER '10.

[8]  Danny Ho,et al.  Towards an early software estimation using log-linear regression and a multilayer perceptron model , 2013, J. Syst. Softw..

[9]  Luiz Fernando Capretz,et al.  Reliability Models Applied to Mobile Applications , 2013, 2013 IEEE Seventh International Conference on Software Security and Reliability Companion.

[10]  Danny Ho,et al.  Improving Software Effort Estimation Using Neuro-Fuzzy Model with SEER-SEM , 2010, ArXiv.