Most metric sets deal with a variation of these attributes and are chosen to help project managers gain insight into their product (size, software quality, rework), process (rework,
software quality) and project (effort, schedule).
But below is a broader classification :-
Project Management Metrics
milestone metricssoftware quality) and project (effort, schedule).
But below is a broader classification :-
Project Management Metrics
- number of milestones
- number of proved requirements per milestone
- controlling level metrics
risk metrics
customer satisfaction metrics
change control metrics
- probability of resources availability
- probability of the requirements validity
- risk indicators (long schedules, inadequate cost estimating,
- application risk metrics
- walkthrough metrics
- traceability metrics
- variance metrics
- size of control elements
- structure of control elements
- documentation level
- tool application level
- data quality metrics
- management data complexity
- data handling level (performance metrics)
- visualization level
- safety and security metrics
customer satisfaction metrics
- characteristics size metrics
- characteristics structure metrics
- empirical evaluation metrics
- data presentation metrics
- number of reviews in the process
- review level metrics
- review dependence metrics
- review structure metrics
- review resources metrics
- actual vs. Planned metrics
- performance metrics
- productivity vs. Quality metrics
- √ time behavior metrics
- √ resources behavior metrics
- √ actual vs. Planned metrics
- √ quality evaluation metrics
- √ error prevention metrics
- √ measurement level
- √ data analysis metrics
change control metrics
- √ size of change
- √ dependencies of changes
- √ change interval metrics
- √ revisions metrics
- √ number of versions
- √ number of versions per customer
- √ version differences metrics
- √ releases metrics (version architecture)
- √ data handling level
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