User Interaction Metrics for Hybrid Mobile Applications

Understanding user behavior and interactions in mobile applications is critical for developers to understand where to spend limited resources when adding, updating, and testing features but current tools do not do a good job of providing actionable insights. User behavior insights can provide value...

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Bibliographic Details
Published inProceedings of the International Conference on Software Engineering Research and Practice (SERP) pp. 30 - 35
Main Authors Hastings, Thomas G, Walcott, Kristen R
Format Conference Proceeding
LanguageEnglish
Published Athens The Steering Committee of The World Congress in Computer Science, Computer Engineering and Applied Computing (WorldComp) 01.01.2018
Subjects
Applications programs
Economic models
Empirical analysis
Engineers
False information
Investments
Middleware
Mobile communications networks
Mobile computing
Open source software
Software engineering
Time series
Trends
User behavior
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Summary:Understanding user behavior and interactions in mobile applications is critical for developers to understand where to spend limited resources when adding, updating, and testing features but current tools do not do a good job of providing actionable insights. User behavior insights can provide value to the developer when it's time to code and implement new features. Google Analytics and New Relic provide user insights but they fall short when it comes to identifying user interactions and behaviors as it pertains to individual features of mobile applications We have developed a framework with middleware that provides user interaction insights, using time-series analysis, to hybrid mobile applications along with an empirical study to showcase the value of the framework.