Determining and Detecting Permission Issues of Wearable Apps

摘要: Wearable apps are becoming increasingly popular. Nevertheless, to date, very few studies have examined the issues that wearable face. Prior showed user reviews contain a plethora of insights can be used understand quality and help developers build better mobile apps. Therefore, in this thesis, we start by empirically studying complaints about apps. We manually sample categorize 2,667 from 19 Android Additionally, examine replies posted response complaints. This study allows us determine type care most identify problems that, despite being important users, do not receive proper developers. We find frequent related Functional Errors, Cost, Lack Functionality, whereas negatively impacting Installation Problems, Device Compatibility, Privacy & Ethical Issues. mostly reply Issues, Performance notification-related issues. Furthermore, observe when reply, they tend provide solution, request more details, or let know working on solution. Our results highlight users face most, which should pay additional attention due their negative impact. Based these first empirical study, investigate impactful mainly two permission common factor raise cause -namely mismatch problem superfluous features. As result, propose technique detect app. To operationalize our developed tool, called Permlyzer, automatically detects APKs. then perform an 2,724 free findings show mismatches exist 6.1% released app store. Moreover, 19.2% studded features.