Computer-implemented systems and methods for automated generation of a customized software product

• US 8,887,128 B2
• Filed: 03/15/2013
• Issued: 11/11/2014
• Est. Priority Date: 12/17/2012
• Status: Active Grant

• Current Assignee: SAS Institute Incorporated
• Original Assignee: SAS Institute Incorporated
• Inventors: Miles, Brian Oneal, King, Julius Alton, Arangala, Adheesha Sanjaya, Jung, Jin-Whan
• Primary Examiner(s): Das, Chameli
• Application Number:
  US13/834,076
• Publication Number:
  US 20140173550A1
• Time in Patent Office: 606 Days
• Field of Search: None
• US Class Current: 717/106
• CPC Class Codes: G06F 8/20 Software design
• CPC Class Codes: G06F 8/70 Software maintenance or management

Abstract

Systems and methods are provided for automated generation of a customized software product. A system includes a computer-readable medium encoded with a project parameters data structure, where the project parameters data structure includes a plurality of project requirement records, and a project prototype. One or more data processors are configured to process a plurality of initial characteristics for the customized software product, populate the project parameters data structure at least based on the initial characteristics, and generate the project prototype based on the project parameters data structure. The one or more data processors are further configured to output a requirements matrix data structure at least based on the project parameters data structure and the project prototype and to generate the customized software product at least based on the requirements matrix data structure and the project prototype.

Claims

1. A computer-implemented system for automated generation of a customized software product, comprising:

one or more non-transitory computer-readable storage mediums, wherein the one or more computer-readable storage mediums are encoded with information comprising;

a project parameters data structure, wherein the project parameters data structure includes a plurality of project requirement records, wherein one or more of the project requirement records includes one or more fields identifying a characteristic of the customized software product; and

a project prototype; and

one or more data processors configured to;

receive a plurality of initial characteristics for the customized software product, wherein the initial characteristics comprise a data source name and a data source location;

populate the project parameters data structure at least based on the received initial characteristics;

generate the project prototype by performing exploratory data analysis of data stored in the data source location with the data source name;

output a requirements matrix data structure at least based on the project parameters data structure and the project prototype;

generate the customized software product at least based on the output requirements matrix data structure and the generated project prototype;

receive a second plurality of initial characteristics for the customized software product, wherein the second initial characteristics comprise a second data source name and a second data source location;

update the project prototype by performing second exploratory data analysis of second data stored in the second data source location with the second data source name;

update the requirements matrix data structure at least based on the project parameters data structure and the updated project prototype; and

update the customized software product at least based on the updated requirements matrix data structure and the updated project prototype,

wherein the update of the project prototype and the update of the requirements matrix data structure occurs in parallel with the generation of the customized software product.

2. The system of claim 1, wherein the one or more data processors are further configured to:

determine an estimate of value of the customized software product at least based on the project parameters data structure; and

output the estimate of value with the requirements matrix data structure.

3. The system of claim 1, wherein a record of the project parameters data structure is populated with at least a data field stored at the data source.

4. The system of claim 1, wherein the one or more data processors are further configured to:

receive additional or updated characteristics prior to the outputting of the requirements matrix, wherein the project parameters data structure is updated at least based on the additional or updated characteristics.

5. The system of claim 4, wherein multiple additional or updated characteristics are received multiple times prior to outputting the requirements matrix.

6. The system of claim 1, wherein the project prototype is a software product.

7. The system of claim 1, wherein the project prototype comprises a mathematical function.

8. The system of claim 1, wherein the project prototype is further generated based on validated analytical results generated from the data stored in the data source location with the data source name.

9. The system of claim 1, wherein the customized software product is generated to predict events based on the exploratory data analysis of the data stored in the data source location.

10. The system of claim 1, wherein the customized software product generates analytic results from the data stored in the data source location, and the exploratory data analysis identifies an attribute of the data stored in the data source location that is not significant to the generation of the analytic results.

11. The system of claim 1, wherein the one or more data processors are further configured to update the project prototype in a third iteration by performing third exploratory data analysis of the data stored in the data source location with the data source name, wherein the customized software product is further updated based on the project prototype updated in the third iteration.

12. A non-transitory computer-readable storage medium for automated generation of a customized software product encoded with information comprising:

a project parameters data structure, wherein the project parameters data structure includes a plurality of project requirement records, wherein one or more of the project requirement records includes one or more fields identifying a characteristic of the customized software product; and

a project prototype; and

instructions for commanding one or more data processors to;

receive a plurality of initial characteristics for the customized software product, wherein the initial characteristics comprise a data source name and a data source location;

populate the project parameters data structure at least based on the received initial characteristics;

generate the project prototype by performing exploratory data analysis of data stored in the data source location with the data source name;

output a requirements matrix data structure at least based on the project parameters data structure and the project prototype;

generate the customized software product at least based on the output requirements matrix data structure and the generated project prototype;

receive a second plurality of initial characteristics for the customized software product, wherein the second initial characteristics comprise a second data source name and a second data source location;

update the project prototype by performing second exploratory data analysis of second data stored in the second data source location with the second data source name;

update the requirements matrix data structure at least based on the project parameters data structure and the updated project prototype; and

update the customized software product at least based on the updated requirements matrix data structure and the updated project prototype,

wherein the update of the project prototype and the update of the requirements matrix data structure occurs in parallel with the generation of the customized software product.

13. The non-transitory computer-readable storage medium of claim 12, wherein the instructions further command the one or more data processors to:

determine an estimate of value of the customized software product at least based on the project parameters data structure; and

output the estimate of value with the requirements matrix data structure.

14. The non-transitory computer-readable storage medium of claim 12, wherein a record of the project parameters data structure is populated with at least a data field stored at the data source.

15. The non-transitory computer-readable storage medium of claim 12, wherein the instructions facilitate additional or updated characteristics being received prior to the outputting of the requirements matrix, wherein the instructions command that the project parameters data structure is updated at least based on the additional or updated characteristics.

16. The non-transitory computer-readable storage medium of claim 15, wherein the instructions facilitate multiple additional or updated characteristics being received multiple times prior to outputting the requirements matrix.

17. The non-transitory computer-readable storage medium of claim 12, wherein the project prototype is further generated based on validated analytical results generated from the data stored in the data source location with the data source name.

18. The non-transitory computer-readable storage medium of claim 12, wherein the customized software product is generated to predict events based on the exploratory data analysis of the data stored in the data source location.

19. The non-transitory computer-readable storage medium of claim 12, wherein the customized software product generates analytic results from the data stored in the data source location, and the exploratory data analysis identifies an attribute of the data stored in the data source location that is not significant to the generation of the analytic results.

20. The non-transitory computer-readable storage medium of claim 12, wherein the instructions further command the one or more data processors to update the project prototype in a third iteration by performing third exploratory data analysis of the data stored in the data source location with the data source name, wherein the customized software product is further updated based on the project prototype updated in the third iteration.

21. A method for automated generation of a customized software product encoded with information comprising:

receiving, by a processor, a plurality of initial characteristics for a customized software product, wherein the initial characteristics comprise a data source name and a data source location;

populating, by the processor, a project parameters data structure at least based on the received initial characteristics, wherein the project parameters data structure includes a plurality of project requirement records, wherein one or more of the project requirement records includes one or more fields identifying a characteristic of the customized software product;

generating, by the processor, a project prototype by performing exploratory data analysis of data stored in the data source location with the data source name;

outputting, by the processor, a requirements matrix data structure at least based on the project parameters data structure and the project prototype;

generating, by the processor, the customized software product at least based on the output requirements matrix data structure and the generated project prototype;

receiving, by the processor, a second plurality of initial characteristics for the customized software product, wherein the second initial characteristics comprise a second data source name and a second data source location;

updating, by the processor, the project prototype by performing second exploratory data analysis of second data stored in the second data source location with the second data source name;

updating, by the processor, the requirements matrix data structure at least based on the project parameters data structure and the updated project prototype; and

updating, by the processor, the customized software product at least based on the updated requirements matrix data structure and the updated project prototype,

wherein the update of the project prototype and the update of the requirements matrix data structure occurs in parallel with the generation of the customized software product.

22. The method of claim 21, further comprising:

determining an estimate of value of the customized software product at least based on the project parameters data structure; and

outputting the estimate of value with the requirements matrix data structure.

23. The method of claim 21, wherein a record of the project parameters data structure is populated with at least a data field stored at the data source.

24. The method of claim 21, wherein the instructions facilitate additional or updated characteristics being received prior to the outputting of the requirements matrix, wherein the instructions command that the project parameters data structure is updated at least based on the additional or updated characteristics.

25. The method of claim 24, wherein the instructions facilitate multiple additional or updated characteristics being received multiple times prior to outputting the requirements matrix.

26. The method of claim 21, wherein the project prototype is further generated based on validated analytical results generated from the data stored in the data source location with the data source name.

27. The method of claim 21, wherein the customized software product is generated to predict events based on the exploratory data analysis of the data stored in the data source location.

28. The method of claim 21, wherein the customized software product generates analytic results from the data stored in the data source location, and the exploratory data analysis identifies an attribute of the data stored in the data source location that is not significant to the generation of the analytic results.

29. The method of claim 21, further comprising updating the project prototype in a third iteration by performing third exploratory data analysis of the data stored in the data source location with the data source name, wherein the customized software product is further updated based on the project prototype updated in the third iteration.