Journal of Software Engineering and Applications

Volume 13, Issue 9 (September 2020)

ISSN Print: 1945-3116   ISSN Online: 1945-3124

Google-based Impact Factor: 1.22  Citations  h5-index & Ranking

Assessment and Prediction of Software Reliability in Mobile Applications

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DOI: 10.4236/jsea.2020.139012    707 Downloads   2,693 Views  Citations

ABSTRACT

Software reliability is an important quality attribute, and software reliability models are frequently used to measure and predict software maturity. The nature of mobile environments differs from that of PC and server environments due to many factors, such as the network, energy, battery, and compatibility. Evaluating and predicting mobile application reliability are real challenges because of the diversity of the mobile environments in which the applications are used, and the lack of publicly available defect data. In addition, bug reports are optionally submitted by end-users. In this paper, we propose assessing and predicting the reliability of a mobile application using known software reliability growth models (SRGMs). Four software reliability models are used to evaluate the reliability of an open-source mobile application through analyzing bug reports. Our experiment proves it is possible to use SRGMs with defect data acquired from bug reports to assess and predict the software reliability in mobile applications. The results of our work enable software developers and testers to assess and predict the reliability of mobile software applications.

Share and Cite:

Barack, O. and Huang, L. (2020) Assessment and Prediction of Software Reliability in Mobile Applications. Journal of Software Engineering and Applications, 13, 179-190. doi: 10.4236/jsea.2020.139012.

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