What are the metrics followed in project management?

The most metric sets deal with a variation of these attributes and are chosen to help the project managers gain insight into their product (software quality, size,  rework), process (software quality, rework ) &  project (schedule, effort).

But below is a broader classification:-

1)      Project Management Metrics:

(i) Milestone metrics

• number of milestones
• number of proved requirements per milestone
• controlling level metrics

(ii) Risk metrics

o   The Probability of resources availability

o   The Probability of the requirements validity

o   The risk indicators (long schedules, inadequate cost estimating, unanticipated acceptance criteria, excessive paperwork, error-prone modules, cost overruns, canceled projects, excessive schedule pressure, low quality, creeping user requirements, excessive time to market, unused or unusable software, hidden errors)

o   The application risk metrics

(iii) Workflow metrics

• walkthrough metrics
• traceability metrics
• variance metrics

(iv) Controlling metrics

• Size of control elements
• Structure of control elements
• Documentation level
• Tool application level

(v) Management database metrics

• data quality metrics
• management data complexity
• data handling level (performance metrics)
• visualization level
• safety and security metrics

2)      Quality Management Metrics:

(i)Customer satisfaction metrics

• characteristics size metrics
• characteristics structure metrics
• empirical evaluation metrics
• data presentation metrics

(ii) Review metrics

• number of reviews in the process
• review level metrics
• review dependence metrics
• review structure metrics
• review resources metrics

(iii) Productivity metrics

• actual vs. planned metrics
• performance metrics
• productivity vs. quality metrics

(iv) Efficiency metrics

• time behavior metrics
• resources behavior metrics
• actual vs. Planned metrics

(v) quality assurance metrics

• quality evaluation metrics
• error prevention metrics
• measurement level
• data analysis metrics

3)      Configuration Management Metrics:

(i) change control metrics

• size of change
• dependencies of changes
• change interval metrics
• revisions metrics

(ii)  Version control metrics

• number of versions
• number of versions per customer
• version differences metrics
• releases metrics (version architecture)
• data handling level