Publication | Closed Access
SunCat: helping developers understand and predict performance problems in smartphone applications
33
Citations
34
References
2014
Year
Unknown Venue
Software MaintenanceEngineeringMobile InteractionWearable TechnologySoftware EngineeringSoftware AnalysisSmartphone ApplicationsLarge InputsPerformance IssueMobile AnalyticsPerformance ProblemsData SciencePerformance PredictionProfiling ToolComputer EngineeringMobile ComputingComputer ScienceMobile ApplicationsPerformance Analysis ToolSoftware DesignMobile SensingMobile Operating SystemProgram AnalysisSoftware TestingBusiness
The number of smartphones shipped in 2014 will be four times larger than the number of PCs. Compared to PCs, smartphones have limited computing resources, and smartphone applications are more prone to performance problems. Traditionally, developers use profilers to detect performance problems by running applications with relatively large inputs. Unfortunately, for smartphone applications, the developer cannot easily control the input, because smartphone applications interact heavily with the environment.
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