Article
MOBILE APP CRASH REPORT TREND DASHBOARD
The Mobile App Crash Report Trend Dashboard is a software monitoring and analytics system designed to collect, analyze, and visualize crash information generated by mobile applications. Mobile applications may experience crashes because of programming errors, memory limitations, device incompatibility, operating-system differences, network conditions, or unexpected user inputs. As the number of users and supported devices increases, manually analyzing crash information becomes difficult. The proposed dashboard provides a centralized platform for understanding mobile application crash behavior. The system focuses on important crash-related metrics such as total crashes, affected users, crash frequency, crash-free sessions, operating-system version, device model, application version, and crash type. Crash reports collected from mobile applications are processed and organized so that developers can identify recurring problems. The system can group crashes based on application versions, devices, operating systems, dates, and error categories. The dashboard presents the analyzed information using interactive charts, graphs, tables, and summary cards. Trend charts can show whether the number of crashes is increasing or decreasing over time, while ranking charts can identify application versions or device models associated with a higher number of crashes. Users can apply filters based on date, application version, device, operating system, or crash category to perform detailed analysis. The proposed system helps development teams identify critical crash patterns and prioritize issues that require immediate attention. Historical crash information can also be compared across application releases to determine whether a new version has improved or negatively affected application stability. This provides useful information for debugging, testing, and release management. Overall, the Mobile App Crash Report Trend Dashboard provides a centralized and visual approach to mobile application stability monitoring. It reduces the effort required to analyze raw crash reports and helps developers make data-driven decisions. The system can contribute to improved application reliability, better user experience, and faster identification of recurring technical problems.
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