||CMMI: CMMI® for Services, Version 1.2
SP 2.1 Select Measures and Analytic Techniques
2.1 Select Measures and
Select measures and analytic techniques to be
used in statistically managing selected subprocesses.
Refer to the Measurement and Analysis
process area for more information about aligning measurement and analysis
activities and providing measurement results.
- Definitions of measures and analytic
techniques to be used to statistically manage
- Operational definitions of measures, their
collection points in subprocesses, and how the integrity of measures
will be determined
- Traceability of measures back to the
projectís quality and process-performance objectives
- Instrumented organizational support
environment that supports automatic data collection
- Identify common measures from the
organizational process assets that support statistical
to the Organizational
Process Definition process area for more information about defining
a common set of process and product measures for the organizationís set
of standard processes.
Refer to the Organizational
Process Performance process area for more information about common
lines or other stratification criteria may categorize common
- Identify additional measures that may be
needed for this instance to cover critical product and process
attributes of the selected subprocesses.
In some cases, measures may be research oriented.
Such measures should be explicitly identified.
- Identify the measures that are appropriate
for statistical management.
Critical criteria for
selecting statistical management measures include the
- Controllable (e.g., Can a
measureís values be changed by changing how the subprocess is
- Adequate performance
indicator (e.g., Is the measure a good indicator of how well the
subprocess is performing relative to the objectives of
|Examples of subprocess measures include
- Ratios of estimated to
measured values of planning parameters (e.g., size, cost,
- Effectiveness of training
(e.g., percent of planned training completed, test
- Specify the operational definitions of
measures, their collection points in subprocesses, and how the integrity
of measures will be determined.
Operational definitions are
stated in precise and unambiguous terms. They address two
- Communication: What has
been measured, how it was measured, what are the units of
measure, and what has been included or excluded?
- Repeatability: Can the
measurement be repeated, given the same definition, to get the
- Analyze the relationship of identified
measures to the objectives of the organization and its projects, and
derive objectives that state target measures or ranges to be met for
each measured attribute of each selected subprocess.
- Instrument the organizational or project
support environment to support collection, derivation, and analysis of
This instrumentation is based
on the following:
- Description of the
organizationís set of standard processes
- Description of the
projectís defined process
- Capabilities of the
organizational or project support
- Identify appropriate statistical analysis
techniques that are expected to be useful in statistically managing the
The concept of one size fits all does not
apply to statistical analysis techniques. What makes a particular
technique appropriate is not just the type of measures but, more
important, how the measures will be used and whether the situation
warrants applying that technique. The appropriateness of the selection
may need to be reviewed from time to time.
Examples of statistical analysis techniques are
given in the next specific practice.
- Revise measures and statistical analysis