Setting Monitoring Metrics and Creating Test Report Templates for Android Monkey Testing
This guide explains how to monitor key system resources such as CPU, memory, battery, network traffic, and startup time during Android Monkey testing, provides ADB commands for data collection, and offers a structured test report template with practical steps for automation and analysis.
To comprehensively evaluate an Android app's performance and stability, monitor critical system resources in addition to running basic Monkey tests.
CPU Usage : Track CPU consumption to identify performance bottlenecks. Use adb shell top -b | grep <package_name> to view CPU usage for a specific app.
Memory Consumption : Detect memory leaks or excessive usage with adb shell dumpsys meminfo to obtain detailed memory information.
Battery Consumption : Assess battery efficiency using adb shell dumpsys batterystats for detailed power statistics.
Network Traffic : Monitor data transfer volume, especially for network‑heavy apps, via adb shell cat /proc/net/xt_qtaguid/stats .
Startup Time : Measure cold and hot launch times, important for user experience, with adb shell am start -W <package_name>/<activity> .
Test Report Template :
Project Name: [Fill in] Test Date: 2025‑02‑17 Test Version: [Fill in] Device Model: [Fill in] OS: Android [Version]
Test Overview : Briefly describe the purpose, scope, and Monkey test parameters.
Result Overview :
Metric Result
CPU Avg Usage XX%
Memory Peak XX MB
Network Total XX KB
Startup Time X.XX s
Issues Found XDetailed Results : Include CPU usage trend charts, memory usage charts, and list any crashes or exceptions with stack traces.
Problem Summary & Recommendations : Based on results, propose improvements or further investigations.
Practical Steps :
Collect monitoring data while running Monkey tests by starting necessary monitoring tools or scripts beforehand.
Consider developing a small script to automatically extract ADB command outputs and format them into the above report template, saving manual effort and reducing errors.
Conclusion : Effective monitoring combined with a detailed report provides a clear view of app performance, guiding optimization efforts; upcoming articles will cover advanced Monkey testing techniques.
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