Presenting diagnostic headlines using simple linguistic terms

• US 10,067,812 B2
• Filed: 03/30/2015
• Issued: 09/04/2018
• Est. Priority Date: 03/30/2015
• Status: Active Grant

• Current Assignee: CA, Inc. (d/b/a CA Technologies) (Broadcom, Inc.)
• Original Assignee: CA, Inc. (d/b/a CA Technologies) (Broadcom, Inc.)
• Inventors: Mullarkey, Peter William, Davis, Kevin Eugene, Johns, Michael Charles
• Primary Examiner(s): Guyton, Philip A
• Application Number:
  US14/673,251
• Publication Number:
  US 20160292026A1
• Time in Patent Office: 1,254 Days
• CPC Class Codes: G06F 11/0748 in a remote unit communicating with a single-box computer node experiencing an error/fault remote testing G06F11/2294
• CPC Class Codes: G06F 11/0754 by exceeding limits
• CPC Class Codes: G06F 11/079 Root cause analysis, i.e. error or fault diagnosis in a hardware test environment G06F11/22; in a software test environment G06F11/36
• CPC Class Codes: G06F 11/0793 Remedial or corrective actions recovery from an exception in an instruction pipeline G06F9/3861; by retry G06F11/1402; for recovering from a failure of a protocol instance or entity H04L69/40
• CPC Class Codes: G06F 11/32 with visual or acoustical indication of the functioning of the machine
• CPC Class Codes: G06F 11/321 Display for diagnostics, e.g. diagnostic result display, self-test user interface

Abstract

A method for a diagnostic headline system using simple linguistic terms is described. The method comprises receiving historical and current performance data for a component of a system. An anomaly is determined in the current performance data by comparing the current performance data and the historical performance data for the component. The anomaly is determined whether or not it indicates an error in the system. The cause of the anomaly is determined. Steps for addressing the cause of the anomaly are recommended. A display is formatted of the current performance data, the error, and the recommended steps for addressing the cause of the anomaly.

Claims

1. A method, comprising:

receiving historical and current performance data for a component of a client system;

based on the historical data, determining an average range of performance and a threshold associated with the average range of performance;

determining an anomaly in the current performance data in response to determining that the current performance data exceeds the threshold associated with the average range of performance;

determining that the anomaly indicates an error in the client system;

determining a cause of the anomaly;

determining a plurality of recommendations for addressing the cause of the anomaly, each recommendation indicating the cause of the anomaly and a solution, wherein determining the plurality of recommendations comprises transforming current performance data into natural language;

providing a diagnostic report interface displaying a diagnostic report identifying the current performance data, the error, and the plurality of recommendations for addressing the cause of the anomaly, wherein the plurality of recommendations are respectively ranked according to likelihood of resolving the anomaly;

receiving user input from the user interface, the user input comprising feedback regarding the plurality of recommendations for addressing the cause of the anomaly;

based on the user input comprising the feedback, determining a client-specific context regarding the anomaly and adjusting the threshold associated with the average range of performance to provide adaptability of the threshold to performance behaviors of the client system in the client-specific context; and

adjusting the ranking of the plurality of recommendations according to the feedback.

2. The method of claim 1, wherein determining the anomaly in the component'"'"'s performance further comprises:

receiving peer performance data for an analogous component in a peer system;

comparing the current performance data for the component and the peer performance data for the analogous component.

3. The method of claim 1, wherein determining that the anomaly indicates an error in the system further comprises:

receiving input regarding client-specific context of the current performance data;

adjusting the ranking of the plurality of recommendations according to the client-specific context.

4. The method of claim 1, further comprising:

ranking the plurality of recommendations with the most probable explanation for the anomaly on top.

5. The method of claim 1, wherein determining the anomaly in the component'"'"'s performance further comprises:

comparing prior recommendations in a database to the plurality of recommendations for addressing the cause of the anomaly.

6. The method of claim 1, further comprising:

implementing in the system the plurality recommendations for addressing the cause of the anomaly.

7. A computer configured to access a storage device, the computer comprising:

a processor; and

a non-transitory, computer-readable storage medium storing computer-readable instructions that when executed by the processor cause the computer to perform;

receiving historical and current performance data for a component of a client system;

based on the historical data, determining an average range of performance and a threshold associated with the average range of performance;

determining an anomaly in the current performance data in response to determining that the current performance data exceeds the threshold associated with the average range of performance;

determining that the anomaly indicates an error in the client system;

determining a cause of the anomaly;

determining a plurality of recommendations for addressing the cause of the anomaly, each recommendation indicating the cause of the anomaly and a solution, wherein determining the plurality of recommendations comprises transforming current performance data into natural language;

providing a diagnostic report interface displaying a diagnostic report identifying the current performance data, the error, and the plurality of recommendations for addressing the cause of the anomaly, wherein the plurality of recommendations are respectively ranked according to likelihood of resolving the anomaly;

receiving user input from the user interface, the user input comprising feedback regarding the plurality recommendations for addressing the cause of the anomaly;

based on the user input comprising the feedback, determining a client-specific context regarding the anomaly and adjusting the threshold associated with the average range of performance to provide adaptability of the threshold to performance behaviors of the client system in the client-specific context; and

adjusting the ranking of the plurality of recommendations according to the feedback.

8. The computer of claim 7, wherein determining the anomaly in the component'"'"'s performance further comprises:

receiving peer performance data for an analogous component in a peer system;

comparing the current performance data for the component and the peer performance data for the analogous component.

9. The computer of claim 7, wherein determining that the anomaly indicates an error in the system further comprises:

receiving input regarding client-specific context of the current performance data;

adjusting the ranking of the plurality of recommendations according to the client-specific context.

10. The computer of claim 7, further comprising:

ranking the plurality of recommendations with the most probably explanation for the anomaly on top.

11. The computer of claim 7, wherein determining the anomaly in the component'"'"'s performance further comprises:

comparing prior recommendations in a database to the plurality of recommendations for addressing the cause of the anomaly.

12. The computer of claim 7, further comprising:

implementing in the system the plurality of recommendations for addressing the cause of the anomaly.

13. A computer program product comprising:

a non-transitory computer-readable storage medium having computer-readable program code embodied therewith, the computer-readable program code comprising;

computer-readable program code configured to receive historical and current performance data for a component of a client system;

computer-readable program code configured to, based on the historical data, determine an average range of performance and a threshold associated with the average range of performance;

computer-readable program code configured to determine an anomaly in the current performance data in response to determining that the current performance data exceeds the threshold associated with the average range of performance;

computer-readable program code configured to determine that the anomaly indicates an error in the client system;

computer-readable program code configured to determine a cause of the anomaly;

computer-readable program code configured to determine a plurality of recommendations for addressing the cause of the anomaly, each recommended solution indicating the cause of the anomaly and a solution, wherein determining the plurality of recommendations comprises transforming current performance data into natural language;

computer-readable program code configured to providing a diagnostic report interface displaying a diagnostic report identifying the current performance data, the error, and the plurality of recommendations for addressing the cause of the anomaly, wherein the plurality of recommendations are respectively ranked according to likelihood of resolving the anomaly;

computer-readable program code configured to receive user input from the user interface, the user input comprising feedback regarding the plurality of recommendations for addressing the cause of the anomaly;

computer-readable program code configured to determine a client-specific context regarding the anomaly and adjust the threshold associated with the average range of performance based on the user input comprising the feedback to provide adaptability of the threshold to performance behaviors of the client system in the client-specific context; and

computer-readable program code configured to adjust the ranking of the plurality of recommendations according to the feedback.

14. The computer program product of claim 13, wherein computer-readable program code configured to determine an anomaly in the current performance further comprises:

computer-readable program code configured to receive peer performance data for an analogous component in a peer system;

computer-readable program code configured to compare the current performance data for the component and the peer performance data for the analogous component.

15. The computer program product of claim 13, wherein computer-readable program code configured to determine that the anomaly indicates an error in the system further comprises:

computer-readable program code configured to receive input regarding the client-specific context of the current performance data;

computer-readable program code configured to adjusting a ranking of the plurality of recommendations according to the client-specific context.

16. The computer program product of claim 13, further comprising:

computer-readable program code configured to rank the plurality of recommendations with the most probably explanation for the anomaly on top.

17. The computer program product of claim 13, further comprising:

computer-readable program code configured to implement in the system the plurality of recommendations for addressing the cause of the anomaly.