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.
Highlights
Software reliability is a measure for controlling and maintaining the processes of the software development life cycle (SDLC) to develop reliable software
We propose assessing and predicting the reliability of a mobile application using known software reliability growth models (SRGMs)
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
Summary
Software reliability is a measure for controlling and maintaining the processes of the software development life cycle (SDLC) to develop reliable software. This measure is used during the testing process until the process’s exit criteria are met. Software reliability helps to maintain and predict the correctness of the software [1]. It presents the quality of the software running without producing defects [2] [3]. Researchers and practitioners have been improving software reliability models to assess the reliability of different types of software
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