METRICS BASED DESIGN METHOD AND SYSTEM

• US 20120253859A1
• Filed: 04/01/2011
• Published: 10/04/2012
• Est. Priority Date: 04/01/2011
• Status: Active Grant

• Current Assignee: DoorDash, Inc.
• Original Assignee: International Business Machines Corporation
• Inventors: Jalaldeen, Ahamed, Sivakumar, Gandhi, Viswanathan, Ram, Hogg, Kerard R.
• Granted Patent: US 9,818,068 B2
• Time in Patent Office: Days
• US Class Current: 705/7.11
• CPC Class Codes: G06Q 10/00 Administration; Management
• CPC Class Codes: G06Q 10/06 Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
• CPC Class Codes: G06Q 10/10 Office automation; Time management
• CPC Class Codes: G06Q 30/06 Buying, selling or leasing transactions

Abstract

A metrics based design method and system is disclosed. The method includes receiving by a computer processor, an informational model comprising data objects, attributes, and relationships associated with a service. The data objects comprise sub-objects. The computer processor receives business affinity (BA) band data associated with the data objects, threshold levels associated with the business affinity (BA) band data, business affinity (BA) levels associated with the business affinity (BA) band data, and service interface operation parameters. The computer processor computes a business affinity (BA) for the informational model based on the business affinity (BA) band data, the threshold levels, the business affinity (BA) levels, and the service interface operation parameters. The computer processor computes a data variation percentage and a reusability count. The computer processor performs: a nested level computation for service valency, a factorization process for computing service valency, and a data element count.

Claims

1. A metrics based design method comprising:

receiving, by a computer processor of a computing system, an informational model comprising data objects, attributes, and relationships associated with a service, wherein said data objects comprise sub-objects;

receiving, by said computer processor, business affinity (BA) band data associated with said data objects;

receiving, by said computer processor, threshold levels associated with said business affinity (BA) band data;

receiving, by said computer processor, business affinity (BA) levels associated with said business affinity (BA) band data and said sub-objects;

receiving, by said computer processor, service interface operation parameters;

computing, by said computer processor, a business affinity (BA) for said informational model, wherein said computing is based on said business affinity (BA) band data, said threshold levels, said business affinity (BA) levels, and said service interface operation parameters; and

generating, by said computer processor, a report indicating recommended sub-objects of said sub-objects.

2. The method of claim 1, further comprising:

receiving, by said computer processor, a service operation request associated with said service;

comparing, by said computer processor, said service operation request to said report;

retrieving, by said computer processor based on results of said comparing said service operation request to said report, a group of said data objects and associated attributes of said attributes;

comparing, by said computer processor, each data object of said group of said data objects to said associated attributes;

identifying, by said computer processor based on results of said comparing each data object, varying elements associated with said group of said data objects and said associated attributes;

computing, by said computer processor based on results of said identifying, a data variation percentage associated with said service operation request;

presenting, by said computer processor to a user, said data variation percentage;

receiving, by said computer processor from said user, a response associated with said data variation percentage; and

computing, by said computer processor based on said response, a response data variation percentage.

3. The method of claim 1, further comprising:

receiving, by said computer processor, valency bands;

receiving, by said computer processor, nesting levels associated with said valency bands;

receiving, by said computer processor, a service operation request associated with said service and said valency bands;

retrieving, by said computer processor, a group of said data objects and associated attributes of said attributes;

computing, by said computer processor, nesting levels for said group of said data objects and said associated attributes;

associating, by said computer processor, said associated attributes with said valency bands;

computing, by said computer processor based on results of said associating, a valency variation percentage associated with each of said valency bands; and

presenting, by said computer processor to a user, said valency variation percentage.

4. The method of claim 1, further comprising:

receiving, by said computer processor, data domains and aggregations associated with a service operation request and a service operation response;

receiving, by said computer processor, composite service specifications associated with said data domains and said aggregations;

receiving, by said computer processor, service models associated with said informational model;

analyzing, by said computer processor, said data domains and said aggregations with respect to said composite service specifications and said service models;

determining, by said computer processor, that a group of said aggregations is associated with multiple domains of said data domains; and

generating, by said computer processor, a message indicating a status of service factorization associated with results of said determining.

5. The method of claim 1, further comprising:

receiving, by said computer processor, data domains and aggregations associated with a service operation request and a service operation response;

receiving, by said computer processor, a permissible data count associated with said data domains and said aggregations;

receiving, by said computer processor, service specifications associated with said data domains and said aggregations;

receiving, by said computer processor, service models associated with said informational model;

analyzing, by said computer processor, said data domains and said aggregations with respect to said service specifications and said service models;

determining, by said computer processor, that a group of said aggregations is associated with multiple domains of said data domains;

determining, by said computer processor, that said group of said aggregations is associated with an additional service associated with multiple domains of said data domains;

performing, by said computer processor, a data element count for said group of said aggregations;

determining, by said computer processor, if said data element count is within an allowable band; and

generating, by said computer processor based on result of said determining if said data element count is within an allowable band, a message indicating if said data element count is within an allowable band.

6. The method of claim 1, further comprising:

receiving, by said computer processor, reusability patterns associated with a service operation request and a service operation response;

receiving, by said computer processor, a service interface associated with said service operation request and said service operation response;

retrieving, by said computer processor, a group of said data objects and associated attributes of said attributes associated with said service operation request and said service operation response;

performing, by said computer processor, a reusability pattern count for said reusability patterns; and

presenting, by said computer processor to a user, results of said reusability pattern count.

7. The method of claim 1, wherein said receiving said business affinity (BA) levels comprises receiving a table comprising said business affinity (BA) levels.

8. The method of claim 1, further comprising:

providing at least one support service for at least one of creating, integrating, hosting, maintaining, and deploying computer-readable code in said computing system, wherein the code in combination with the computing system is capable of performing;

said receiving said informational model, said receiving said business affinity (BA) band data, said receiving said threshold levels, said receiving said business affinity (BA) levels, said receiving said service interface operation parameters, said computing, and said generating.

9. A computer program product, comprising a computer readable storage medium having a computer readable program code embodied therein, said computer readable program code comprising an algorithm that when executed by a computer processor of a computing system implements a method comprising:

receiving, by said computer processor, an informational model comprising data objects, attributes, and relationships associated with a service, wherein said data objects comprise sub-objects;

receiving, by said computer processor, business affinity (BA) band data associated with said data objects;

receiving, by said computer processor, threshold levels associated with said business affinity (BA) band data;

receiving, by said computer processor, business affinity (BA) levels associated with said business affinity (BA) band data and said sub-objects;

receiving, by said computer processor, service interface operation parameters;

computing, by said computer processor, a business affinity (BA) for said informational model, wherein said computing is based on said business affinity (BA) band data, said threshold levels, said business affinity (BA) levels, and said service interface operation parameters; and

generating, by said computer processor, a report indicating recommended sub-objects of said sub-objects.

10. The computer program product of claim 9, further comprising:

receiving, by said computer processor, a service operation request associated with said service;

comparing, by said computer processor, said service operation request to said report;

retrieving, by said computer processor based on results of said comparing said service operation request to said report, a group of said data objects and associated attributes of said attributes;

comparing, by said computer processor, each data object of said group of said data objects to said associated attributes;

identifying, by said computer processor based on results of said comparing each data object, varying elements associated with said group of said data objects and said associated attributes;

computing, by said computer processor based on results of said identifying, a data variation percentage associated with said service operation request;

presenting, by said computer processor to a user, said data variation percentage;

receiving, by said computer processor from said user, a response associated with said data variation percentage; and

computing, by said computer processor based on said response, a response data variation percentage.

11. The computer program product of claim 9, further comprising:

receiving, by said computer processor, valency bands;

receiving, by said computer processor, nesting levels associated with said valency bands;

receiving, by said computer processor, a service operation request associated with said service and said valency bands;

retrieving, by said computer processor, a group of said data objects and associated attributes of said attributes;

computing, by said computer processor, nesting levels for said group of said data objects and said associated attributes;

associating, by said computer processor, said associated attributes with said valency bands;

computing, by said computer processor based on results of said associating, a valency variation percentage associated with each of said valency bands; and

presenting, by said computer processor to a user, said valency variation percentage.

12. The computer program product of claim 9, further comprising:

receiving, by said computer processor, data domains and aggregations associated with a service operation request and a service operation response;

receiving, by said computer processor, composite service specifications associated with said data domains and said aggregations;

receiving, by said computer processor, service models associated with said informational model;

analyzing, by said computer processor, said data domains and said aggregations with respect to said composite service specifications and said service models;

determining, by said computer processor, that a group of said aggregations is associated with multiple domains of said data domains; and

generating, by said computer processor, a message indicating a status of service factorization associated with results of said determining.

13. The computer program product of claim 9, further comprising:

receiving, by said computer processor, data domains and aggregations associated with a service operation request and a service operation response;

receiving, by said computer processor, a permissible data count associated with said data domains and said aggregations;

receiving, by said computer processor, service specifications associated with said data domains and said aggregations;

receiving, by said computer processor, service models associated with said informational model;

analyzing, by said computer processor, said data domains and said aggregations with respect to said service specifications and said service models;

determining, by said computer processor, that a group of said aggregations is associated with multiple domains of said data domains;

determining, by said computer processor, that said group of said aggregations is associated with an additional service associated with multiple domains of said data domains;

performing, by said computer processor, a data element count for said group of said aggregations;

determining, by said computer processor, if said data element count is within an allowable band; and

generating, by said computer processor based on result of said determining if said data element count is within an allowable band, a message indicating if said data element count is within an allowable band.

14. The computer program product of claim 9, further comprising:

receiving, by said computer processor, reusability patterns associated with a service operation request and a service operation response;

receiving, by said computer processor, a service interface associated with said service operation request and said service operation response;

retrieving, by said computer processor, a group of said data objects and associated attributes of said attributes associated with said service operation request and said service operation response;

performing, by said computer processor, a reusability pattern count for said reusability patterns; and

presenting, by said computer processor to a user, results of said reusability pattern count.

15. A computing system comprising a computer processor coupled to a computer-readable memory unit, said memory unit comprising instructions that when executed by the computer processor implements a method comprising:

receiving, by said computer processor, an informational model comprising data objects, attributes, and relationships associated with a service, wherein said data objects comprise sub-objects;

receiving, by said computer processor, business affinity (BA) band data associated with said data objects;

receiving, by said computer processor, threshold levels associated with said business affinity (BA) band data;

receiving, by said computer processor, business affinity (BA) levels associated with said business affinity (BA) band data and said sub-objects;

receiving, by said computer processor, service interface operation parameters;

computing, by said computer processor, a business affinity (BA) for said informational model, wherein said computing is based on said business affinity (BA) band data, said threshold levels, said business affinity (BA) levels, and said service interface operation parameters; and

generating, by said computer processor, a report indicating recommended sub-objects of said sub-objects.

16. The computing system of claim 15, further comprising:

receiving, by said computer processor, a service operation request associated with said service;

comparing, by said computer processor, said service operation request to said report;

retrieving, by said computer processor based on results of said comparing said service operation request to said report, a group of said data objects and associated attributes of said attributes;

comparing, by said computer processor, each data object of said group of said data objects to said associated attributes;

identifying, by said computer processor based on results of said comparing each data object, varying elements associated with said group of said data objects and said associated attributes;

computing, by said computer processor based on results of said identifying, a data variation percentage associated with said service operation request;

presenting, by said computer processor to a user, said data variation percentage;

receiving, by said computer processor from said user, a response associated with said data variation percentage; and

computing, by said computer processor based on said response, a response data variation percentage.

17. The computing system of claim 15, further comprising:

receiving, by said computer processor, valency bands;

receiving, by said computer processor, nesting levels associated with said valency bands;

receiving, by said computer processor, a service operation request associated with said service and said valency bands;

retrieving, by said computer processor, a group of said data objects and associated attributes of said attributes;

computing, by said computer processor, nesting levels for said group of said data objects and said associated attributes;

associating, by said computer processor, said associated attributes with said valency bands;

computing, by said computer processor based on results of said associating, a valency variation percentage associated with each of said valency bands; and

presenting, by said computer processor to a user, said valency variation percentage.

18. The computing system of claim 15, further comprising:

receiving, by said computer processor, data domains and aggregations associated with a service operation request and a service operation response;

receiving, by said computer processor, composite service specifications associated with said data domains and said aggregations;

receiving, by said computer processor, service models associated with said informational model;

analyzing, by said computer processor, said data domains and said aggregations with respect to said composite service specifications and said service models;

determining, by said computer processor, that a group of said aggregations is associated with multiple domains of said data domains; and

generating, by said computer processor, a message indicating a status of service factorization associated with results of said determining.

19. The computing system of claim 15, further comprising:

receiving, by said computer processor, data domains and aggregations associated with a service operation request and a service operation response;

receiving, by said computer processor, a permissible data count associated with said data domains and said aggregations;

receiving, by said computer processor, service specifications associated with said data domains and said aggregations;

receiving, by said computer processor, service models associated with said informational model;

analyzing, by said computer processor, said data domains and said aggregations with respect to said service specifications and said service models;

determining, by said computer processor, that a group of said aggregations is associated with multiple domains of said data domains;

determining, by said computer processor, that said group of said aggregations is associated with an additional service associated with multiple domains of said data domains;

performing, by said computer processor, a data element count for said group of said aggregations;

determining, by said computer processor, if said data element count is within an allowable band; and

generating, by said computer processor based on result of said determining if said data element count is within an allowable band, a message indicating if said data element count is within an allowable band.

20. The computing system of claim 15, further comprising:

receiving, by said computer processor, reusability patterns associated with a service operation request and a service operation response;

receiving, by said computer processor, a service interface associated with said service operation request and said service operation response;

retrieving, by said computer processor, a group of said data objects and associated attributes of said attributes associated with said service operation request and said service operation response;

performing, by said computer processor, a reusability pattern count for said reusability patterns; and

presenting, by said computer processor to a user, results of said reusability pattern count.