System and method to map defect reduction data to organizational maturity profiles for defect projection modeling

• US 8,578,341 B2
• Filed: 09/11/2009
• Issued: 11/05/2013
• Est. Priority Date: 09/11/2009
• Status: Active Grant

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Bassin, Kathryn A., Kagan, Steven, Skrabanek, Susan E.
• Primary Examiner(s): Vo, Ted T
• Application Number:
  US12/558,327
• Publication Number:
  US 20110066893A1
• Time in Patent Office: 1,516 Days
• Field of Search: 717101-103, 717127-133
• US Class Current: 717/130
• CPC Class Codes: G06F 8/20 Software design
• CPC Class Codes: G06F 8/70 Software maintenance or management
• CPC Class Codes: G06Q 10/06 Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling

Abstract

A method is implemented in a computer infrastructure having computer executable code tangibly embodied on a computer readable storage medium having programming instructions. The programming instructions are operable to receive a maturity level for an organization and select at least one defect analysis starter/defect reduction method (DAS/DRM) defect profile based on the maturity level. Additionally, the programming instructions are operable to determine a projection analysis for one or more stages of the life cycle of a software code project of the organization based on the at least one DAS/DRM defect profile.

Claims

1. A method implemented in a computer infrastructure having computer executable code tangibly embodied on a computer readable storage memory having programming instructions operable to:

receive a maturity level for an organization;

select at least one defect profile based on the maturity level for the organization from a plurality of defect profiles, wherein each of the plurality of defect profiles comprises a trigger defect profile, a valid/invalid category defect profile, and a target defect profile associated with each level of maturity, and each of the trigger defect profile, the valid/invalid category defect profile, and the target defect profile comprise approximate expected percentages for defects in one or more stages in a life cycle of a software code project of the organization;

determine a predetermined amount of lines of code value for the software code project; and

provide a projection analysis for the one or more stages in the life cycle of the software code project based on the selected at least one defect profile and the determined predetermined amount of lines of code value, the providing the projection analysis comprising;

utilizing the approximate expected percentages for the defects according to the at least one of the trigger defect profile, the valid/invalid category profile, and the target defect profile and the predetermined amount of lines of code value to determine a number of defects per the predetermined amount of lines of code; and

providing an actual number of expected defects in the one or more stages in the life cycle of the software code project based on the determined number of defects per the predetermined amount of lines of code for the at least one of the trigger defect profile, the valid/invalid category profile, and the target defect profile,

wherein at least the step of providing the projection analysis is performed by a processor of the computer infrastructure.

2. The method of claim 1, wherein the projection analysis comprises a projected resource investment for the one or more stages in the life cycle of the software code project.

3. The method of claim 2, wherein the projected resource investment comprises a percentage of resource investment at each stage of the life cycle of the software code project of a total resource investment over the life cycle of the software code project.

4. The method of claim 3, wherein the projected resource investment additionally comprises:

a first set of percentage of resource investments at the one or more stages of the life cycle corresponding to an in-house system test; and

a second set of percentage of resource investments at the one or more stages of the life cycle corresponding to a third party system test.

5. The method of claim 1, wherein the trigger defect profile comprises:

a listing of possible triggers; and

the approximate expected percentages for the defects orthogonally classified in the listing of possible triggers for each stage of the life cycle of the software code project.

6. The method of claim 5, wherein the approximate expected percentages for the defects comprise a projected percentage of defects having each of the possible triggers at the one or more stages of the life cycle of the software code project.

7. The method of claim 1, wherein the valid/invalid category defect profile comprises:

a listing comprising a valid category and a plurality of invalid categories; and

the approximate expected percentages for the defects orthogonally classified in the listing comprising the valid category and the plurality of invalid categories for each stage of the life cycle of the software code project.

8. The method of claim 7, wherein the approximate expected percentages for the defects comprise a projected percentage of defects having each of the valid category and the plurality of invalid categories at the one or more stages of the life cycle of the software code project.

9. The method of claim 1, wherein the target defect profile comprises:

a listing of possible targets; and

the approximate expected percentages for the defects orthogonally classified in the listing of possible targets for each stage of the life cycle of the software code project.

10. The method of claim 9, wherein the approximate expected percentages for the defects comprise a projected percentage of defects having each of the possible targets at the one or more stages of the life cycle of the software code project.

11. The method of claim 1, wherein the computer infrastructure is operable to transform the maturity level for the organization to the projection analysis.

12. The method of claim 1, wherein a service provider at least one of creates, maintains, deploys and supports the computer infrastructure.

13. The method of claim 1, wherein steps are provided by a service provider on a subscription, advertising, and/or fee basis.

14. A system implemented in hardware, comprising:

a selection tool operable to receive a maturity level for an organization and select at least one defect profile based on the maturity level for the organization from a plurality of defect profiles, wherein each of the plurality of defect profiles comprises a trigger defect profile, a valid/invalid category defect profile, and a target defect profile associated with each level of maturity, and each of the trigger defect profile, the valid/invalid category defect profile, and the target defect profile comprise approximate expected percentages for defects in one or more stages in a life cycle of a software code project of the organization;

a count tool operable to determine a predetermined amount of lines of code value for the software code project; and

a defect projection tool operable to determine a projection analysis for the one or more stages of the life cycle of the software code project based on the selected at least one defect profile and the determined predetermined amount of lines of code value, the determining the projection analysis comprising;

utilizing the approximate expected percentages for the defects according to the at least one of the trigger defect profile, the valid/invalid category profile, and the target defect profile and the predetermined amount of lines of code value to determine a number of defects per the predetermined amount of lines of code; and

providing an actual number of expected defects in the one or more stages in the life cycle of the software code project based on the determined number of defects per the predetermined amount of lines of code for the at least one of the trigger defect profile, the valid/invalid category profile, and the target defect profile.

15. The system of claim 14, further comprising a function point count tool operable to determine the predetermined amount of lines of code value for the software code project.

16. The system of claim 14, wherein:

the trigger defect profile comprises;

a listing of possible triggers; and

the approximate expected percentages for the defects orthogonally classified in the listing of possible triggers for each stage of the life cycle of the software code project, wherein the approximate expected percentages for the defects comprise a projected percentage of defects having each of the possible triggers at the one or more stages of the life cycle of the software code project;

the valid/invalid category defect profile comprises;

a listing comprising a valid category and a plurality of invalid categories; and

the approximate expected percentages for the defects orthogonally classified in the listing comprising the valid category and the plurality of invalid categories for each stage of the life cycle of the software code project, wherein the approximate expected percentages for the defects comprise a projected percentage of defects having each of the valid category and the plurality of invalid categories at the one or more stages of the life cycle of the software code project; and

the target defect profile comprises;

a listing of possible targets; and

the approximate expected percentages for the defects orthogonally classified in the listing of possible targets for each stage of the life cycle of the software code project, wherein the approximate expected percentages for the defects comprise a projected percentage of defects having each of the possible targets at the one or more stages of the life cycle of the software code project.

17. The system of claim 14, wherein the projection analysis further comprises projected resource investment for the one or more stages in the life cycle of the software code project.

18. The system of claim 17, wherein the projected resource investment additionally comprises:

a first set of percentage of resource investments at the one or more stages of the life cycle corresponding to an in-house system test; and

a second set of percentage of resource investments at the one or more stages of the life cycle corresponding to a third party system test.

19. A computer program product comprising a computer usable storage memory having readable program code embodied in the storage memory, the computer program product includes at least one component operable to:

receive a maturity level for an organization;

select at least one defect profile based on the maturity level for the organization from a plurality of defect profiles organized based on maturity levels, wherein the plurality of defect profiles comprise a trigger defect profile, a valid/invalid category defect profile, and a target defect profile associated with each level of maturity,

the trigger defect profile comprises;

a listing of possible triggers; and

approximate expected percentages for defects orthogonally classified in the listing of possible triggers for each stage of a life cycle of a software code project of the organization, wherein the approximate expected percentages for the defects comprises a projected percentage of defects having each of the possible triggers at the one or more stages of the life cycle of the software code project;

the valid/invalid category defect profile comprises;

a listing comprising a valid category and a plurality of invalid categories; and

approximate expected percentages for defects orthogonally classified in the listing comprising the valid category and the plurality of invalid categories for each stage of the life cycle of the software code project, wherein the approximate expected percentages for the defects comprises a projected percentage of defects having each of the valid category and the plurality of invalid categories at the one or more stages of the life cycle of the software code project; and

the target defect profile comprises;

a listing of possible targets; and

approximate expected percentages for defects orthogonally classified in the listing of possible targets for each stage of the life cycle of the software code project, wherein the approximate expected percentages for the defects comprises a projected percentage of defects having each of the possible targets at the one or more stages of the life cycle of the software code project;

determine a thousand lines of code (KLOC) value for the software code project;

determine a projection analysis for the one or more stages in the life cycle of the software code project based on the at least one defect profile, wherein the projection analysis comprises;

approximate numbers of projected defects for the approximate expected percentages for the defects classified in at least one of the listing of possible triggers, the listing comprising the valid category and the plurality of invalid categories, and the listing of possible targets; and

projected resource investment for the one or more stages in the life cycle of the software code project.

20. A computer system for providing a projection analysis based on a maturity level for an organization, the system comprising:

a CPU, a computer readable memory and a computer readable storage media;

first program instructions to perform an initial assessment in order to determine the maturity level of the organization, wherein the performing the initial assessment comprises evaluation of the organization across a plurality of maturity areas;

second program instructions to receive the maturity level for the organization;

third program instructions to select at least one defect profile based on the maturity level for the organization from a plurality of defect profiles, wherein each of the plurality of defect profiles comprises a trigger defect profile, a valid/invalid category defect profile, and a target defect profile associated with each level of maturity, and each of the trigger defect profile, the valid/invalid category defect profile, and the target defect profile comprise approximate expected percentages for defects in one or more stages in a life cycle of a software code project of the organization;

fourth program instructions to determine a predetermined amount of lines of code value for the software code project; and

fifth program instructions to determine the projection analysis for one or more stages in the life cycle of the software code project based on the selected at least one defect profile and the determined predetermined amount of lines of code value, the determining the projection analysis comprising;

utilizing the approximate expected percentages for the defects according to the at least one of the trigger defect profile, the valid/invalid category profile, and the target defect profile and the predetermined amount of lines of code value to determine a number of defects per the predetermined amount of lines of code; and

providing an actual number of expected defects in the one or more stages in the life cycle of the software code project based on the determined number of defects per the predetermined amount of lines of code for the at least one of the trigger defect profile, the valid/invalid category profile, and the target defect profile,

wherein the first, second,. third, fourth and fifth program instructions are stored on the computer readable storage media for execution by the CPU via the computer readable memory.

21. The computer system of claim 20, wherein the evaluation of the organization across the plurality of the maturity areas comprises:

providing a maturity level score for each maturity area of the plurality of the maturity areas, wherein the plurality of the maturity areas comprises a culture area, a methodology area, a technology area, an organization area, a skills area, and a measurements and control area; and

determining the maturity level of the organization based on the maturity level scores for each maturity area using a plurality of tables that map combinations of possible maturity level scores for the plurality of the maturity areas to possible maturity levels for the organization.

22. The computer system of claim 20, wherein:

the selecting the at least one defect profile based on the maturity level comprises selecting three defect profiles comprising the trigger defect profile, the valid/invalid category defect profile, and the target defect profile associated with the maturity level;

the trigger defect profile comprises the approximate expected percentages for defects orthogonally classified in a listing of possible triggers for each stage of a life cycle of a software code project of the organization;

the valid/invalid category defect profile comprises the approximate expected percentages for defects orthogonally classified in a listing comprising a valid category and a plurality of invalid categories for each stage of the life cycle of the software code project;

the target defect profile comprises the approximate expected percentages for defects orthogonally classified in a listing of possible targets for each stage of the life cycle of the software code project; and

the projection analysis comprises the approximate expected percentages for the defects classified in the listing of possible triggers, the listing comprising the valid category and the plurality of invalid categories, and the listing of possible targets.