Process
Areas
(staged)

Level 2
 
REQM
 PP
 PMC
 SAM
 MA
 PPQA
 CM
Level 3
 
RD
 TS
 PI
 VER 
 VAL 
 OPF
 OPD
 OT
 IPM
 RSKM
 DAR
Level 4
 
OPP
 QPM
Level 5 
 
OPM 
 CAR

      5. Process Areas
          5.5. Measurement and Analysis
 SP 1.2 Specify Measures 
Process AreaMA
Level2
GoalSG 1
PracticeSP 1.2

Specify measures to address measurement objectives.

Measurement objectives are refined into precise, quantifiable measures.

Measurement of project and organizational work can typically be traced to one or more measurement information categories. These categories include the following: schedule and progress, effort and cost, size and stability, and quality.

Measures can be either base or derived. Data for base measures are obtained by direct measurement. Data for derived measures come from other data, typically by combining two or more base measures.

Examples of commonly used base measures include the following:

· Estimates and actual measures of work product size (e.g., number of pages)

· Estimates and actual measures of effort and cost (e.g., number of person hours)

· Quality measures (e.g., number of defects by severity)

· Information security measures (e.g., number of system vulnerabilities identified)

· Customer satisfaction survey scores

 

Examples of commonly used derived measures include the following:

· Earned value

· Schedule performance index

· Defect density

· Peer review coverage

· Test or verification coverage

· Reliability measures (e.g., mean time to failure)

· Quality measures (e.g., number of defects by severity/total number of defects)

· Information security measures (e.g., percentage of system vulnerabilities mitigated)

· Customer satisfaction trends

 

Derived measures typically are expressed as ratios, composite indices, or other aggregate summary measures. They are often more quantitatively reliable and meaningfully interpretable than the base measures used to generate them.

There are direct relationships among information needs, measurement objectives, measurement categories, base measures, and derived measures. This direct relationship is depicted using some common examples in Table MA.1.

Table MA.1: Example Measurement Relationships

Example Project, Organizational, or Business Objectives

Information Need

Measurement Objective

Measurement Information Categories

Example Base Measures

Example Derived Measures

Shorten time to delivery

Be first to market the product

What is the estimated delivery time?

Provide insight into schedule fluctuations and progress

Schedule and progress

Estimated and actual start and end dates by task

Milestone performance

Percentage of project on time

Schedule estimation accuracy

Increase market share by reducing costs of products and services

How accurate are the size and cost estimates?

Provide insight into actual size and costs compared to plan

Size and effort

 

Estimated and actual effort and size

Productivity

Effort and cost

Estimated and actual cost

Cost performance

Cost variance

Deliver specified functionality

Has scope or project size grown?

Provide insight into actual size compared to plan, identify unplanned growth

Size and stability

Requirements count

Requirements volatility

Size estimation accuracy

Function point count

Estimated vs. actual function points

Lines of code count

Amount of new, modified, and reused code

Reduce defects in products delivered to the customer by 10% without affecting cost

Where are defects being inserted and detected prior to delivery?

Evaluate the effectiveness of defect detection throughout the product lifecycle

Quality

Number of defects inserted and detected by lifecycle phase

Product size

Defect containment by lifecycle phase

Defect density

What is the cost of rework?

Determine the cost of correcting defects

Cost

Number of defects inserted and detected by lifecycle phase

Effort hours to correct defects

Labor rates

Rework costs

Reduce information system vulnerabilities

What is the magnitude of open system vulnerabilities?

Evaluate the effectiveness of mitigating system vulnerabilities

Information Assurance

Number of system vulnerabilities identified and number of system vulnerabilities mitigated

Percentage of system vulnerabilities mitigated

Example Work Products

1.    Specifications of base and derived measures

Subpractices

1.    Identify candidate measures based on documented measurement objectives.

Measurement objectives are refined into measures. Identified candidate measures are categorized and specified by name and unit of measure.

2.    Maintain traceability of measures to measurement objectives.

Interdependencies among candidate measures are identified to enable later data validation and candidate analyses in support of measurement objectives.

3.    Identify existing measures that already address measurement objectives.

Specifications for measures may already exist, perhaps established for other purposes earlier or elsewhere in the organization.

4.    Specify operational definitions for measures.

Operational definitions are stated in precise and unambiguous terms. They address two important criteria:

·       Communication: What has been measured, how was it 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 same results?

5.    Prioritize, review, and update measures.

Proposed specifications of measures are reviewed for their appropriateness with potential end users and other relevant stakeholders. Priorities are set or changed, and specifications of measures are updated as necessary.



Process
Areas
(continuous)


Process
management  
 
OPF
 OPD
 OT  
 
OPP  
 OPM

Project
management
 
PP
 PMC 
 REQM 
 
SAM  
 
IPM
 RSKM
 
QPM

Engineering
 
RD 
 TS
 PI
 VER 
 VAL
Support
 
CM
 PPQA
 MA
 
DAR
 CAR