TRANSACTION CLASSIFICATION RULE GENERATION

• US 20120096004A1
• Filed: 10/18/2010
• Published: 04/19/2012
• Est. Priority Date: 10/18/2010
• Status: Active Grant

• Current Assignee: Micro Focus LLC (Open Text Corporation)
• Original Assignee: entIT Software LLC (Open Text Corporation)
• Inventors: Byrd, Christopher
• Granted Patent: US 9,665,909 B2
• Time in Patent Office: Days
• US Class Current: 707/740
• CPC Class Codes: G06Q 40/04 Trading; Exchange, e.g. stocks, commodities, derivatives or currency exchange

Abstract

A method, executed by a processor, for generating a transaction classification rule that can be applied to unclassified transactions. The method includes receiving an identification of an existing unclassified transaction upon which the classification rule will be based; generating identification rules to identify subsequent unclassified transactions as similar to the existing unclassified transaction; generating the classification rule using the identified transaction; and storing the classification rule for application to the subsequent unclassified transactions. Application of the generated classification rule to the subsequent unclassified transactions produces transactions classified according to the classification rule.

Claims

1. A method, executed by a processor, for generating a transaction classification rule, comprising:

receiving an identification of an existing unclassified transaction upon which the classification rule will be based;

generating identification rules to identify subsequent unclassified transactions as similar to the existing unclassified transaction;

generating the classification rule using the identified transaction; and

storing the classification rule for application to the subsequent unclassified transactions, wherein application of the generated classification rule to the subsequent unclassified transactions produces transactions classified according to the classification rule.

2. The method of claim 1, further comprising receiving a list of discovered entities upon which the existing and subsequent transactions may execute.

3. The method of claim 2, wherein the discovered entities include servlets.

4. The method of claim 3, wherein the list of discovered entities further includes one or more of hosts, web applications, and application servers.

5. The method of claim 3, further comprising:

receiving a further selection of parameters related to servlets, and

modifying the generated classification rule based on values of the received parameters.

6. The method of claim 1, further comprising:

generating a list of data mappings relevant to the identified unclassified transaction; and

receiving a selection from the list of data mappings.

7. The method of claim 1, wherein the generated classification rule is in XML format.

8. A computer readable medium including programming for execution by a processor, the programming when executed by the processor, implementing a method, comprising:

receiving an identification of a discovered entity upon which the classification rule will be based;

generating identification rules to identify unclassified transactions relevant to the identified discovered entity;

generating the classification rule using the identified unclassified transactions; and

storing the classification rule for application to the unclassified transactions, wherein application of the generated classification rule to the unclassified transactions produces transactions classified according to the classification rule.

9. The computer readable medium of claim 8, wherein the discovered entities include servlets.

10. The computer readable medium of claim 9, wherein the method further comprises:

receiving a further selection of parameters related to servlets, and

modifying the generated classification rule based on values of the received parameters.

11. The computer readable medium of claim 9, wherein the list of discovered entities further includes one or more of hosts, web applications, and application servers.

12. The computer readable medium of claim 11, wherein the classification rule is generated based on parameter values related to the hosts, web applications and application servers.

13. The computer readable medium of claim 8, wherein the method further comprises:

generating a list of data mappings relevant to the identified unclassified transactions; and

receiving a selection from the list of data mappings.

14. The computer readable medium of claim 13, wherein the generated transaction rule includes data mapping information

15. The computer readable medium of claim 8, wherein the generated classification rule is in XML format.

16. A system for generating transaction classification rules, comprising:

a memory storing a wizard that, when executed by a processor;

receives an identification of an existing unclassified transaction upon which the classification rule will be based,

generates identification rules to identify subsequent unclassified transactions as similar to the existing unclassified transaction, and

generates the classification rule using the identified transaction; and

a rules processing module stored in the memory that, when executed by the processor, applies the classification rule to the subsequent unclassified transactions, wherein application of the generated classification rule to the unclassified transactions produces transactions classified according to the classification rule.

17. The system of claim 16, wherein the wizard receives a list of discovered entities that are used in execution of the unclassified transaction, and wherein the wizard generates the classification rule based on the discovered entities.

18. The system of claim 17, wherein the discovered entities comprise servlets.

19. The system of claim 16, wherein the wizard:

generates a list of data mappings relevant to the identified unclassified transaction;

receives a selection from the list of data mappings; and

includes the data mappings in the transaction classification rule.

20. The system of claim 16, wherein the lists are provided to a user for selection using a user interface.