Top 12 Terms Every Beginner Game Tester Should Know About Crash Management

Understanding the terminology used in app performance analysis is crucial for effective monitoring and optimization. Here are some common terms you might encounter:

1. Exception An exception refers to any anomaly that occurs while an app is running. This could be a crash, lag, ANR (Application Not Responding), or error.

2. Crash A crash happens when an app stops functioning correctly and unexpectedly exits during use.

3. Jank A Jank refers to a slow response from an app during use. By default, a lag is considered a Jank if it lasts for 5 seconds. This duration can be customized.

4. ANR ANR stands for "Application Not Responding". It is a prompt that appears when an app stops responding during use. This term is specific to Android.

5. Error An error is an actively reported exception or a script error (like C#, Lua, JS, etc.).

6. Count The count refers to the total number of times an exception has occurred and been reported.

7. Affected User An affected user is a device where an exception occurs. Each device where an exception happens increases the affected users count by one.

8. User Exception Rates User exception rates, such as user crash rate, user lag rate, user ANR rate, and user error rate, are the ratios of affected users to users online.

9. Exception Count Rates Exception count rates, like crash count rate, lag count rate, ANR count rate, and error count rate, are the ratios of occurrence count to internet connection count.

10. Connection Count The connection count is the sum of activation count and interday connection count.

11. Launch Count The launch count is the number of times the app is launched. This could be when the app is restarted after fully exiting it, or when the app is brought to the foreground after being in the background for 30 seconds.

12. Online Users Online users refer to the number of devices with an internet connection. Each device with an internet connection increases the online users count by one.

By understanding these terms, you can better interpret the data provided by tools like PerfDog, enabling you to make more informed decisions when optimizing your app's performance.