Systems and methods for application crash management
View Patent ↗Systems, methods, and non-transitory computer-readable media can determine an application feature causing an application to crash. A set of users is ranked based on application data. The application data comprises crash cause data indicative of the number of times the application feature caused the application to crash for a user. A high crash user group is determined based on the ranking the set of users. The application feature is disabled for the high crash user group. A subset of the high crash user group is periodically replaced with a set of new users not currently in the high crash user group.
1. A computer-implemented method comprising:
determining, by a computing system, an application feature causing an application to crash;
ranking, by the computing system, a set of users based on application data, the application data comprising crash cause data indicative of the number of times the application feature caused the application to crash for a user;
determining, by the computing system, a high crash user group based on the ranking the set of users;
disabling, by the computing system, the application feature for the high crash user group; and
periodically replacing, by the computing system, a subset of the high crash user group with a set of new users not currently in the high crash user group.
2. The computer-implemented method of claim 1 , wherein the subset of the high crash user group is randomly selected.
3. The computer-implemented method of claim 1 , wherein the set of new users is equal in number to the subset of the high crash group.
4. The computer-implemented method of claim 1 , further comprising re-ranking an updated set of users that are not in the high crash user group based on application data,
wherein the set of new users is selected based on the re-ranking the updated set of users.
5. The computer-implemented method of claim 1 , wherein a user cannot be removed from the high crash user group if the user has not been in the high crash user group for a minimum period of time.
6. The computer-implemented method of claim 1 , wherein a user cannot be added to the high crash user group if the user has not been outside the high crash user group for a minimum period of time.
7. The computer-implemented method of claim 1 , wherein the crash cause data is indicative of the number of times the application feature caused the application to crash for a user over a predetermined period of time.
8. The computer-implemented method of claim 1 , wherein the size of the high crash user group is defined by a percentage of an overall user population.
9. The computer-implemented method of claim 1 , wherein the application feature is an in-app browser.
10. The computer-implemented method of claim 1 , wherein deactivating the in-app browser comprises causing web content to be opened in an external browser.
11. A system comprising:
at least one processor; and
a memory storing instructions that, when executed by the at least one processor, cause the system to perform a method comprising:
determining an application feature causing an application to crash;
ranking a set of users based on application data, the application data comprising crash cause data indicative of the number of times the application feature caused the application to crash for a user;
determining a high crash user group based on the ranking the set of users;
disabling the application feature for the high crash user group; and
periodically replacing a subset of the high crash user group with a set of new users not currently in the high crash user group.
12. The system of claim 11 , wherein the subset of the high crash user group is randomly selected.
13. The system of claim 11 , wherein the set of new users is equal in number to the subset of the high crash group.
14. The system of claim 11 , wherein
the method further comprises re-ranking an updated set of users that are not in the high crash user group based on application data, and
the set of new users is selected based on the re-ranking the updated set of users.
15. The system of claim 11 , wherein a user cannot be removed from the high crash user group if the user has not been in the high crash user group for a minimum period of time.
16. A non-transitory computer-readable storage medium including instructions that, when executed by at least one processor of a computing system, cause the computing system to perform a method comprising:
determining an application feature causing an application to crash;
ranking a set of users based on application data, the application data comprising crash cause data indicative of the number of times the application feature caused the application to crash for a user;
determining a high crash user group based on the ranking the set of users;
disabling the application feature for the high crash user group; and
periodically replacing a subset of the high crash user group with a set of new users not currently in the high crash user group.
17. The non-transitory computer-readable storage medium of claim 16 , wherein the subset of the high crash user group is randomly selected.
18. The non-transitory computer-readable storage medium of claim 16 , wherein the set of new users is equal in number to the subset of the high crash group.
19. The non-transitory computer-readable storage medium of claim 16 , wherein
the method further comprises re-ranking an updated set of users that are not in the high crash user group based on application data, and
the set of new users is selected based on the re-ranking the updated set of users.
20. The non-transitory computer-readable storage medium of claim 16 , wherein a user cannot be removed from the high crash user group if the user has not been in the high crash user group for a minimum period of time.