2020
DOI: 10.4236/jsea.2020.139012
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Assessment and Prediction of Software Reliability in Mobile Applications

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 defec… Show more

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Cited by 14 publications
(7 citation statements)
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References 13 publications
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“…Figure 13 shows, all aspects (Attractiveness, Efficiency, Perspicuity, Dependability, Stimulation and Novelty) are good. The greatest average score is Dependability (4.10) whic is in line with [21] that software reliability is an important quality attribute. Aspect "Perspicuity" that was explained in [22], got the second greatest average score of 3.95.…”
Section: Discussionsupporting
confidence: 68%
“…Figure 13 shows, all aspects (Attractiveness, Efficiency, Perspicuity, Dependability, Stimulation and Novelty) are good. The greatest average score is Dependability (4.10) whic is in line with [21] that software reliability is an important quality attribute. Aspect "Perspicuity" that was explained in [22], got the second greatest average score of 3.95.…”
Section: Discussionsupporting
confidence: 68%
“…Ivanov et al [35] used the goal question metric (GQM) method to evaluate and forecast software reliability under open source situation considering mobile operating environments. Additionally, Barack and Huang [36] used a few software reliability models to evaluate and forecast the reliability of OSS. Wang [37] proposed an OSS reliability model taking account into fault introduction based on the Pareto distribution.…”
Section: Related Workmentioning
confidence: 99%
“…In mobile operating environments, Ivanov et al 31 used three OSS fault data sets of mobile operating systems and software reliability models to evaluate their reliability. In addition, Barack and Huang 32 used four software reliability models to assess and predict the reliability under mobile operating environments using OSS mobile fault data sets. Considering the changes of issue types and code files in the processes of OSS development and testing, Tandon et al 33 proposed multirelease reliability models of OSS-based entropy and compared the proposed models and traditional closed software reliability models.…”
Section: Related Workmentioning
confidence: 99%