Method and apparatus for identifying software components for use in an object-oriented programming system

• US 20030126583A1
• Filed: 05/08/2002
• Published: 07/03/2003
• Est. Priority Date: 12/28/2001
• Status: Active Grant

• Current Assignee: Electronics and Telecommunications Research Institute
• Original Assignee: Electronics and Telecommunications Research Institute
• Inventors: Cho, Jin Hee, Kim, Jin Sam, Ha, Su Jung
• Granted Patent: US 7,162,708 B2
• Time in Patent Office: Days
• US Class Current: 717/104
• CPC Class Codes: G06F 8/10 Requirements analysis; Specification techniques
• CPC Class Codes: G06F 8/24 Object-oriented

Abstract

In an apparatus for identifying software components having an object and use-case information related to a model domain in a software component developing system, the object and use-case information is inputted in an input section. A UDA table creation section makes use-relation between an object and a use-case transmitted from the input section into a UDA (Use-case Data Access) table. A clustering engine creates at least one identified component by normalizing affinity values between use-relation factors in a UDA table prepared in the UDA table creation section and by performing a clustering only for a value greater than or equal to a threshold among the normalized affinity values.

Claims

1. An apparatus, for identifying software components having object and use-case information related to a model domain in a software component developing system, comprising:

an input section where the object and use-case information is inputted therein;

a UDA (Use-case Data Access) table creation section where use-relation between an object and the use-case transmitted from the input section is made into a UDA table; and

a clustering engine to create at least one identified component by normalizing relative affinity values between use-relation factors in a UDA table prepared in the UDA table creation section and by performing a clustering only for a value greater than or equal to a threshold among the normalized relative affinity values.

2. The apparatus of claim 1, wherein the use-relation factors in the UDA table creation section are categorized into create, refer, write and delete.

3. The apparatus of claim 1, wherein the UDA table creation section controls a UDA table by extracting information of an object and a use-case that are less than a threshold in use-relation in the prepared UDA table.

4. The apparatus of claim 1, wherein the clustering engine calculates and normalizes the relative affinity values between the use-relation factors of the UDA table, performs a clustering only for a value greater than or equal to a threshold among the normalized relative affinity values, and generates at least one identified component by grouping interrelated object and use-cases.

5. The apparatus of claim 1, wherein the clustering engine performs a clustering by controlling a threshold again when the number of identified components is greater than or equal to a threshold.

6. The apparatus of claim 4, wherein each of the normalized relative affinity values is obtained by employing a following equation:

7. A method, for identifying software components having object and use-case information related to a model domain for use in an object-oriented programming system, comprising the steps of:

inputting the object and use-case information;

making use-relation between the inputted object and use-case into a UDA table;

calculating and normalizing relative affinity values between use-relation factors in the UDA table; and

creating at least one identified component by performing a clustering only for a value greater than or equal to a threshold among the normalized relative affinity values.

8. The method of claim 7, wherein use-relation factors between object and use-case in the UDA table are categorized into create, refer, write and delete.

9. The method of claim 7, further comprising the step of controlling a UDA table by extracting information of an object and a use-case that are less in use-relation in the UDA table, after making the UDA table.

10. The method of claim 7, wherein said at least one identified component created by the clustering is grouped of interrelated object and use-case.

11. The method of claim 7, wherein each of the normalized affinity values is obtained by employing a following equation

12. The method of claim 7, further comprising the step of performing a clustering by controlling a threshold again when the number of identified components is greater than or equal to a threshold.

13. A recording medium having a program in a computer, for identifying software components having object and use-case information related to a model domain in a software component developing system, comprising the steps of:

inputting the object and use-case information;

making use-relation between the inputted object and use-case into a UDA table;

calculating and normalizing relative affinity values between use-relation factors in the UDA table; and

creating at least one identified component by performing a clustering only for a value greater than or equal to a threshold among the normalized relative affinity values.