ADVANCED CORRELATION AND PROCESS WINDOW EVALUATION APPLICATION

• US 20090119357A1
• Filed: 11/05/2007
• Published: 05/07/2009
• Est. Priority Date: 11/05/2007
• Status: Abandoned Application

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Wang, Yun-Yu, Song, Yunsheng, Rice, James P., Yu, Chienfan
• Application Number:
  US11/934,914
• Publication Number:
  US 20090119357A1
• Time in Patent Office: Days
• US Class Current: 708/422
• CPC Class Codes: G06F 18/40 Software arrangements specially adapted for pattern recognition, e.g. user interfaces or toolboxes therefor

Abstract

A method only has the user input (or select) a data type, a report key, a dependent variable table, and/or filtering restrictions. Using this information, the method automatically locates independent variable data based on the data type and the report key. This independent variable data can be in the form of a table and comprises independent variables. The method automatically joins the dependent variable table and the independent variable data to create a joint table. Then, the method can automatically perform a statistical analysis of the joint table to find correlations between the dependent variables and the independent variables and output the correlations, without requiring the user to input or identify the independent variables.

Claims

1. A method comprising:

receiving a data type, a report key, and a dependent variable table comprising dependent variables;

automatically locating independent variable data based on said data type and said report key, wherein said independent variable data comprises independent variables;

automatically performing a statistical analysis to find correlation results between said dependent variables and said independent variables; and

outputting said correlation results.

2. The method according to claim 1, all the limitations of which are incorporated herein by reference, further comprising removing dependent variables and independent variables that are based on a sample size that is below a predetermined minimum.

3. The method according to claim 1, all the limitations of which are incorporated herein by reference, wherein said independent variables comprise variables related to process parameters and process related measurement parameters.

4. The method according to claim 1, all the limitations of which are incorporated herein by reference, wherein said dependent variables comprise variables related to at least one of product quality, yield, and performance.

5. The method according to claim 1, all the limitations of which are incorporated herein by reference, wherein said data type comprises a category of different data sources and said report key comprises a module list or photo layer list of said data type.

6. A method comprising:

receiving a data type, a report key, and a dependent variable table comprising dependent variables;

automatically locating independent variable data based on said data type and said report key, wherein said independent variable data comprises independent variables;

automatically joining said dependent variable table and said independent variable data to create a joint table;

automatically independently filtering said dependent variables and said independent variables to produce filtered dependent variables and filtered independent variables within said joint table;

automatically performing a statistical analysis of said joint table to find correlation results between said filtered dependent variables and said filtered independent variables; and

outputting said correlation results.

7. The method according to claim 6, all the limitations of which are incorporated herein by reference, further comprising removing dependent variables and independent variables from said joint table that are based on a sample size that is below a predetermined minimum.

8. The method according to claim 6, all the limitations of which are incorporated herein by reference, wherein said filtering comprises using different filters for said dependent variables and said independent variables.

9. The method according to claim 6, all the limitations of which are incorporated herein by reference, wherein said dependent variables comprise variables related to at least one of product quality, yield, and performance, and

wherein said independent variables comprise variables related to process parameters and process related measurement parameters.

10. The method according to claim 6, all the limitations of which are incorporated herein by reference, wherein said data type comprises a category of different data sources and said report key comprises a module list or photo layer list of said data type.

11. A method comprising:

receiving input from a user consisting of only;

a data type and a report key;

a dependent variable table comprising dependent variables; and

filtering restrictions;

automatically locating independent variable data based on said data type and said report key, wherein said independent variable data comprises independent variables;

automatically joining said dependent variable table and said independent variable data to create a joint table;

automatically independently filtering said dependent variables and said independent variables based on said filtering restrictions to produce filtered dependent variables and filtered independent variables within said joint table;

automatically performing a statistical analysis of said joint table to find correlation results between said filtered dependent variables and said filtered independent variables; and

outputting said correlation results.

12. The method according to claim 11, all the limitations of which are incorporated herein by reference, further comprising removing dependent variables and independent variables from said joint table that are based on a sample size that is below a predetermined minimum.

13. The method according to claim 11, all the limitations of which are incorporated herein by reference, wherein said filtering comprises using different filters for said dependent variables and said independent variables.

14. The method according to claim 11, all the limitations of which are incorporated herein by reference, wherein said dependent variables comprise variables related to at least one of product quality, yield, and performance, and

wherein said independent variables comprise variables related to process parameters and process related measurement parameters.

15. The method according to claim 11, all the limitations of which are incorporated herein by reference, wherein said data type comprises a category of different data sources and said report key comprises a module list or photo layer list of said data type.

16. A computer program product comprising a computer readable medium tangibly embodying a program of instructions executable by a computer, for performing a method comprising:

receiving a data type, a report key, and a dependent variable table comprising dependent variables;

automatically locating independent variable data based on said data type and said report key, wherein said independent variable data comprises independent variables;

automatically performing a statistical analysis to find correlation results between said dependent variables and said independent variables; and

outputting said correlation results.

17. The computer program product according to claim 16, all the limitations of which are incorporated herein by reference, further comprising removing dependent variables and independent variables that are based on a sample size that is below a predetermined minimum.

18. The computer program product according to claim 16, all the limitations of which are incorporated herein by reference, wherein said independent variables comprise variables related to process parameters and process related measurement parameters.

19. The computer program product according to claim 16, all the limitations of which are incorporated herein by reference, wherein said dependent variables comprise variables related to at least one of product quality, yield, and performance.

20. The computer program product according to claim 16, all the limitations of which are incorporated herein by reference, wherein said data type comprises a category of different data sources and said report key comprises a module list or photo layer list of said data type.