ANALYZING SOFTWARE-USAGE INFORMATION

• US 20130018888A1
• Filed: 07/12/2011
• Published: 01/17/2013
• Est. Priority Date: 07/12/2011
• Status: Active Grant

• Current Assignee: SAP SE
• Original Assignee: SAP SE
• Inventors: JOHN, PETER
• Granted Patent: US 8,972,456 B2
• Time in Patent Office: Days
• US Class Current: 707/740
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising

Abstract

Various embodiments of systems and methods for analyzing software-usage information are described herein. Traffic numbers are obtained from data stored in a database using measurement objects that are associated with one or more keys. The measurement objects output the traffic numbers and the one or more keys are related to elements of the data. Identifiers and categories are assigned to the measurement objects. The categories represent attributes of a software product. A data structure comprising the identifiers, the traffic numbers, and the categories is generated and stored. The stored data structure and a header comprising one or more fields are used to generate a report.

Claims

1. A computerized method for analyzing software usage information, the method comprising:

obtaining traffic numbers from data stored in a database using measurement objects that are associated with one or more keys, wherein the measurement objects output the traffic numbers and the one or more keys are related to elements of the data;

assigning identifiers to the measurement objects;

assigning categories to the measurement objects, wherein the categories represent attributes of a software product; and

generating and storing a data structure comprising the identifiers, the traffic numbers, and the categories in respective fields.

2. The method of claim 1, further comprising:

determining weights for the traffic numbers; and

generating and storing the data structure comprising the identifiers, the traffic numbers, the categories, and the weights in respective fields.

3. The method of claim 2, wherein the weight comprises label-based weights.

4. The method of claim 2, further comprising:

receiving the data structure and a header comprising one or more fields, wherein the header fields comprise one or more customer details and a time stamp; and

generating a report comprising the identifiers, the weights, and the categories with respect to the header fields.

5. The method of claim 1, wherein the data comprises trace data stored in the database.

6. The method of claim 1, wherein the attributes of the software product comprise a feature, a component, and a version of the software product.

7. A computerized method for analyzing software usage information, the method comprising:

receiving a header comprising one or more fields and a data structure comprising identifiers of measurement objects, categories of the measurement objects, and traffic determined by the measurement objects in respective fields,

wherein the categories represent attributes of a software product and the header fields comprise one or more customer details and a time stamp;

generating a report comprising the identifiers, the traffic, and the categories with respect to the header fields; and

presenting the report on a user interface.

8. The method of claim 7, wherein the traffic comprises a traffic number.

9. The method of claim 8, wherein the traffic comprises a label-based weight that is determined for the traffic number.

10. The method of claim 7, wherein the attributes of the software product comprise a feature, a component, and a version of the software product.

11. A computer system, comprising:

a computer memory to store program code; and

a processor to execute the program code to;

obtain traffic numbers from data stored in a database using measurement objects that are associated with one or more keys, wherein the measurement objects output the traffic numbers and the one or more keys are related to elements of the data;

assign identifiers to the measurement objects;

assign categories to the measurement objects, wherein the categories represent attributes of a software product; and

generate and storing a data structure comprising the identifiers, the traffic numbers, and the categories in respective fields.

12. The system of claim 11, wherein the processor further executes the program code to:

determine weights for the traffic numbers; and

generate and storing the data structure comprising the identifiers, the traffic numbers, the categories, and the weights in respective fields.

13. The system of claim 12, wherein the weights comprises label-based usage weights.

14. The system of claim 12, wherein the processor further executes the program code to:

transfer the data structure and a header comprising one or more fields for generating a report, wherein the header fields comprise one or more customer details and a time stamp.

15. The system of claim 11, wherein the data comprises trace data stored in the database.

16. The system of claim 11, wherein the attributes of the software product comprise a feature, a component, and a version of the software product.

17. A computer system, comprising:

a computer memory to store program code; and

a processor to execute the program code to;

receive a header comprising one or more fields and a data structure comprising identifiers of measurement objects, categories of the measurement objects, and traffic determined by the measurement objects in respective fields,

wherein the categories represent attributes of a software product and the header fields comprise one or more customer details and a time stamp;

generate a report comprising the identifiers, the traffic, and the categories with respect to the header fields; and

present the report on a user interface.

18. The system of claim 17, wherein the traffic comprises a traffic number.

19. The system of claim 18, wherein the traffic comprises a label-based weight that is determined for the traffic number.

20. The system of claim 17, wherein the attributes of the software product comprise a feature, a component, and a version of the software product.