Process
Areas
(staged)

Level 2
 
RM
 PP
 PMC
 SAM
 MA
 PPQA
 CM
Level 3
 
RD
 TS
 PI
 VE
 VA
 OPF
 OPD
 OT
 IPM
 RSKM
 DAR
Level 4
 
OPP
 QPM
Level 5
 
OID
 CAR

 SP 1.3 Select the Subprocesses that Will Be Statistically Managed
Process AreaQPM
Level4
GoalSG 1
PracticeSP 1.3

Select the subprocesses of the project's defined process that will be statistically managed.

Selecting the subprocesses to be statistically managed is often a concurrent and iterative process of identifying applicable project and organization quality and process-performance objectives, selecting the subprocesses, and identifying the process and product attributes to measure and control. Often the selection of a process, quality and process-performance objective, or measurable attribute will constrain the selection of the other two. For example, if a particular process is selected, the measurable attributes and quality and process-performance objectives may be constrained by that process.

Typical Work Products

1.    Quality and process-performance objectives that will be addressed by statistical management

2.    Criteria used in selecting which subprocesses will be statistically managed

3.    Subprocesses that will be statistically managed

4.    Identified process and product attributes of the selected subprocesses that should be measured and controlled

Subpractices

1.    Identify which of the quality and process-performance objectives of the project will be statistically managed.

2.    Identify the criteria to be used in selecting the subprocesses that are the main contributors to achieving the identified quality and process-performance objectives and for which predictable performance is important.

Examples of sources for criteria used in selecting subprocesses include the following:

·   Customer requirements related to quality and process performance

·   Quality and process-performance objectives established by the customer

·   Quality and process-performance objectives established by the organization

·   Organization’s performance baselines and models

·   Stable performance of the subprocess on other projects

·   Laws and regulations

  

3.    Select the subprocesses that will be statistically managed using the selection criteria.

It may not be possible to statistically manage some subprocesses (e.g., where new subprocesses and technologies are being piloted). In other cases, it may not be economically justifiable to apply statistical techniques to certain subprocesses.

4.    Identify the product and process attributes of the selected subprocesses that will be measured and controlled.

Examples of product and process attributes include the following:

·   Defect density

·   Cycle time

·   Test coverage

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Process
Areas
(continuous)


Process
management  
 
OPF
 OPD
 OT  
 
OPP 
 
OID
Project
management
 
PP
 PMC
 SAM 
 
IPM
 RSKM
 
QPM
Engineering
 
RD
 RM
 TS
 PI
 VE
 VA
Support
 
CM
 PPQA
 MA
 
DAR
 CAR