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Assessment and Prediction of Software Reliability in Mobile Applications 被引量:1
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作者 Osama Barack liguo huang 《Journal of Software Engineering and Applications》 2020年第9期179-190,共12页
<div style="text-align:justify;"> <span style="font-family:Verdana;">Software reliability is an important quality attribute, and software reliability models are frequently used to measu... <div style="text-align:justify;"> <span style="font-family:Verdana;">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.</span> </div> 展开更多
关键词 Software Reliability Modeling Mobile Application Mobile Environment Bug Report
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