COMPLEXITY ESTIMATION OF DATA OBJECTS

• US 20090106308A1
• Filed: 10/18/2007
• Published: 04/23/2009
• Est. Priority Date: 10/18/2007
• Status: Abandoned Application

• Current Assignee: Accenture Global Services Limited (Accenture PLC)
• Original Assignee: Accenture Global Services Limited (Accenture PLC)
• Inventors: Killian, Christopher, Orr, James Michael
• Application Number:
  US11/874,542
• Publication Number:
  US 20090106308A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 16/24573 using data annotations, e.g. user-defined metadata
• CPC Class Codes: G06F 16/289 Object oriented databases

Abstract

Complexity criteria corresponding to the various data object parameters are received by a processing apparatus via a user interface. Values corresponding to one or more of the data object parameters are determined for a data object and subsequently compared to that portion of the complexity criteria corresponding to the one or more data object parameters. Based on this comparison, at least one complexity parameter rating may be determined for the one or more data object parameters. Based on the one or more complexity parameter ratings, an overall complexity rating for the data object, or an estimated effort for transforming the data object, may be determined. By allowing a user to define the complexity criteria, the subjectivity necessarily present in conventional assessments of data object complexity may be substantially eliminated and analysis throughput substantially increased.

Claims

1. In a processing apparatus, a method for estimating complexity of a data object, the method comprising:

receiving, via a user interface of the processing apparatus, complexity criteria for a plurality of data object parameters;

analyzing, by the processing apparatus, the data object to obtain values corresponding to at least one data object parameter of the plurality of data object parameters; and

comparing, by the processing apparatus, the values with that portion of the complexity criteria corresponding to the at least one data object parameter to determine at least one complexity parameter rating corresponding the at least one data object parameter.

2. The method of claim 1, further comprising:

determining, by the processing apparatus, an overall complexity rating for the data object based on the at least one complexity parameter rating.

3. The method of claim 1, further comprising:

determining, by the processing apparatus based on the at least one complexity parameter rating, an estimated effort for transforming the data object.

4. The method of claim 1, wherein the data object is either a Universe or a Report.

5. The method of claim 1, further comprising:

displaying, via the user interface, at least one of;

the values corresponding to the at least one data object parameter and the at least one complexity parameter rating corresponding to the at least one data object parameter.

6. The method of claim 1, further comprising analyzing the data object via a client application, implemented by the processing apparatus, that communicates with at least one storage element comprising the data object.

25. The method of claim 1, wherein each data object of the plurality of data objects is either a universe or a report.

7. A processing apparatus, comprising:

at least one processor;

a user interface in communication with the at least one processing device; and

at least one storage component in communication with the at least one processing device and having stored thereon executable instructions that, when executed by the at least one processor, cause the at least one processor to;

receive, via the user interface, complexity criteria for a plurality of data object parameters;

analyze a data object to obtain values corresponding to at least one data object parameter of the plurality of data object parameters; and

compare the values with that portion of the complexity criteria corresponding to the at least one data object parameter to determine at least one complexity parameter rating corresponding the at least one data object parameter.

8. The apparatus of claim 7, the at least one storage component further comprising executable instructions that, when executed by the at least one processor, cause the at least one processor to:

determine an overall complexity rating for the data object based on the at least one complexity parameter rating.

9. The apparatus of claim 7, the at least one storage component further comprising executable instructions that, when executed by the at least one processor, cause the at least one processor to:

determine, based on the at least one complexity parameter rating, an estimated effort for transforming the data object.

10. The apparatus of claim 7, the at least one storage component further comprising executable instructions that, when executed by the at least one processor, cause the at least one processor to:

display, via the user interface, at least one of;

the values corresponding to the at least one data object parameter and the at least one complexity parameter rating corresponding to the at least one data object parameter.

11. The apparatus of claim 7, the at least one storage component further comprising executable instructions that, when executed by the at least one processor, cause the at least one processor to analyze the data object via a client application that communicates with a at least one storage element comprising the data object.

12. A processing system comprising:

at least one storage element comprising a plurality of data objects;

a user interface; and

a complexity analyzer, in communication with the at least one storage element and the user interface, operative to receive, via the user interface, complexity criteria for a plurality of data object parameters, analyze a data object of the plurality of data objects to obtain values corresponding to at least one data object parameter of the plurality of data object parameters, and to compare the values with that portion of the complexity criteria corresponding to the at least one data object parameter to determine at least one complexity parameter rating corresponding the at least one data object parameter.

16. The processing system of claim 12, wherein the complexity analyzer is further operative to determine an overall complexity rating for the data object based on the at least one complexity parameter rating.

17. The processing system of claim 12, wherein the complexity analyzer is further operative to determine, based on the at least one complexity parameter rating, an estimated effort for transforming the data object.

18. The processing system of claim 12, wherein the complexity analyzer is further operative to display, via the user interface, at least one of:

the values corresponding to the at least one data object parameter and the at least one complexity parameter rating corresponding to the at least one data object parameter.

13. The processing of system of claim 13, wherein the user interface and the complexity analyzer are implemented in a processing device.

14. The processing system of claim 13, wherein the at least one storage element comprises any of:

a server computer and the processing device.

15. The processing system of claim 13, wherein the processing device communicates with the at least one storage element via at least one communication network.

19. A processor readable medium having stored thereon a data structure comprising:

a plurality of parameter fields each identifying a corresponding one of a plurality of data object parameters relevant to a data object; and

corresponding to each of the plurality of parameter fields, at least one complexity criteria field comprising at least one complexity criteria value that, during analysis of the data object, are compared to values for the data object corresponding to at least one data object parameter of the plurality of data object parameters to determine at least one complexity parameter rating corresponding the at least one data object parameter.

20. The processor readable medium of claim 19, where the at least one complexity criteria field for each of the plurality of parameter fields comprises a simple complexity field, a medium complexity field and a complex complexity field.

21. In a processing apparatus, a method for estimating complexity of transformation of a plurality of data objects, the method comprising:

receiving, via a graphical user interface of the processing apparatus, complexity criteria for a plurality of data object parameters;

analyzing, by the processing apparatus, each data object of the plurality of data objects to obtain corresponding values for at least one data object parameter of the plurality of data object parameters;

comparing, by the processing apparatus for each data object of the plurality of data objects, the corresponding values with that portion of the complexity criteria corresponding to the at least one data object parameter to determine, for each data object, at least one complexity parameter rating corresponding the at least one data object parameter;

determining, by the processing apparatus for each data object of the plurality of data objects, an overall complexity rating based on the at least one complexity parameter rating for the data object; and

determining, by the processing apparatus, an overall estimated effort for transforming the plurality of data objects based at least in part upon overall complexity rating for each data object of the plurality of data objects.

22. The method of claim 21, further comprising:

displaying, via the graphical user interface, at least one of;

the corresponding values for each data object of the plurality of data objects and the at least one complexity parameter rating for each data object of the plurality of data objects.

23. The method of claim 21, further comprising:

displaying, via the graphical user interface, the overall complexity rating for each data object of the plurality of data objects.

24. The method of claim 21, further comprising:

determining, by the processing apparatus for each data object of the plurality of data objects, an estimated effort from transforming the data object based on the at least one complexity parameter rating for the data object; and

displaying, via the graphical user interface, the estimated effort for transforming each data object of the plurality of data objects.