METHOD AND SYSTEM FOR SOFTWARE ANALYTICS USING BUSINESS INTELLIGENCE

• US 20150169324A1
• Filed: 09/23/2014
• Published: 06/18/2015
• Est. Priority Date: 12/17/2013
• Status: Abandoned Application

• Current Assignee: Infosys Limited
• Original Assignee: Infosys Limited
• Inventors: Maskeri Rama, Girish, Karnam, Deepthi
• Application Number:
  US14/493,693
• Publication Number:
  US 20150169324A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 8/20 Software design
• CPC Class Codes: G06F 8/71 Version control security arrangements therefor G06F21/57; Configuration management
• CPC Class Codes: G06F 8/77 Software metrics
• CPC Class Codes: G06Q 10/067 Enterprise or organisation modelling

Abstract

This technology relates to a method and system for software analytics using business intelligence. The method includes receiving application parameters from a user for an application. The method also includes receiving, data related to the application based on the received application parameters. The method further includes designing an orthogonal dimension model for the application based on the received application parameters; and modeling the received data into the designed orthogonal dimensional model.

Claims

1. A method for software analytics using business intelligence, the method comprising:

receiving, by an analytics computing device, an application parameter from a user for at least one application;

receiving, by the analytics computing device, data related to the application based on the received application parameters;

designing, by the analytics computing device, an orthogonal dimension model for the application based on the received application parameters; and

modeling, by the analytics computing device, the received data into the designed orthogonal dimensional model.

2. The method as claimed in claim 1, wherein the data related to the application comprises a version history, a bug history, email archives, source code, one or more deployment logs, one or more root cause reports, one or more impact analysis reports, or one or more code review reports of the application.

3. The method as claimed in claim 1, wherein the designing further comprises:

identifying a business process, wherein the identifying includes gathering business requirements, a grain from the identified business processes, a dimension from the identified grains, and a fact from the identified dimensions; and

instructing to initiate the modeling of the orthogonal dimensional model.

4. The method as claimed in claim 5, wherein the grain is a business definition of a measurement event that creates the fact, the dimension is a group of hierarchies that defines the context for the fact, and the fact is a measure indicating the dimension is true.

5. The method as claimed in claim 1, wherein the modeling further comprises displaying the orthogonal dimensional model to the user.

6. The method as claimed in claim 1 further comprising providing, by the analytics computing device, an interactive user interface for displaying the information and prompting data entry by the user.

7. An analytics computing device, comprising a processor and a memory coupled to the processor which is configured to be capable of executing programmed instructions comprising and stored in the memory to:

receive an application parameter from a user for at least one application;

receive data related to the application based on the received application parameters;

design an orthogonal dimension model for the application based on the received application parameters; and

model the received data into the designed orthogonal dimensional model.

8. The analytics computing device as claimed in claim 7, wherein the data related to the application comprises a version history, a bug history, email archives, source code, one or more deployment logs, one or more root cause reports, one or more impact analysis reports, or one or more code review reports of the application.

9. The analytics computing device as claimed in claim 7, wherein the processor coupled to the memory is further configured to be capable of executing at least one additional programmed instruction comprising and stored in the memory to:

identify a business process, wherein the identifying includes gathering business requirements, a grain from the identified business processes, a dimension from the identified grains, and a fact from the identified dimensions; and

instruct to initiate the modeling of the orthogonal dimensional model.

10. The analytics computing device as claimed in claim 7, wherein the grain is a business definition of a measurement event that creates the fact, the dimension is a group of hierarchies that defines the context for the fact, and the fact is a measure indicating the dimension is true.

11. The analytics computing device as claimed in claim 7, wherein the processor coupled to the memory is further configured to be capable of executing at least one additional programmed instruction comprising and stored in the memory to display the orthogonal dimensional model to the user.

12. The analytics computing device as claimed in claim 7, wherein the processor coupled to the memory is further configured to be capable of executing at least one additional programmed instruction comprising and stored in the memory to provide an interactive user interface for displaying the information and prompting data entry by the user.

13. A non-transitory computer readable medium having stored thereon instructions for software analytics using business intelligence comprising executable code which when executed by a processor, causes the processor to perform steps comprising:

receiving an application parameter from a user for at least one application;

receiving data related to the application based on the received application parameters;

designing an orthogonal dimension model for the application based on the received application parameters; and

modeling the received data into the designed orthogonal dimensional model.

14. The non-transitory computer readable medium as claimed in claim 13, wherein the data related to the application comprises a version history, a bug history, email archives, source code, one or more deployment logs, one or more root cause reports, one or more impact analysis reports, or one or more code review reports of the application.

15. The non-transitory computer readable medium as claimed in claim 13, wherein the designing further comprises:

identifying a business process, wherein the identifying includes gathering business requirements, a grain from the identified business processes, a dimension from the identified grains, and a fact from the identified dimensions; and

instructing to initiate the modeling of the orthogonal dimensional model.

16. The non-transitory computer readable medium as claimed in claim 13, wherein the grain is a business definition of a measurement event that creates the fact, the dimension is a group of hierarchies that defines the context for the fact, and the fact is a measure indicating the dimension is true.

17. The non-transitory computer readable medium as claimed in claim 13, wherein the modeling further comprises displaying the orthogonal dimensional model to the user.

18. The non-transitory computer readable medium as claimed in claim 13, further having stored thereon at least one additional instruction that when executed by the processor cause the processor to perform at least one additional step comprising providing an interactive user interface for displaying the information and prompting data entry by the user.