Metrics followed in project management, DOT NET Programming

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
Posted Date: 9/25/2012 1:32:05 AM | Location : United States







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