202304231046 List of SDLC metrics

In no particular order as of now and with no comment on value of tracking them.

Many of those can be measured in different ways: collection methodology, count, per unit of time, etc.

Remember metrics are used to identify and address problems for the business. Start with the problem, not the metrics.

• LoC, SLoC
• Defects detected
• Defects fixed
• Regressions detected
• Regressions fixed
• Commits
• Files
• Memory size of repo
• Checkout time
• Build time
• Deploy time
• Time for onboarding
• Time for local repo setup
• Tests
• Test run time
• Test coverage
• CI times
• PR review time
• Ticket in STATUS time
• CPU/memory/resource usage
• Logs and counts etc
• Cost (infra, people etc)
• Time spent extending/adding new features
• Time spent maintaining
• Time spent fixing
• Time from problem to alert
• Time from alert to response
• Incident count and severity
• Oldest PR
• Costs per query/request
• PR
• Costs per query/request
• Hiring plan vs actual
• Dev retention
• DEI
• DORA
  • Deployment frequency (DF)
  • Mean lead time for changes (MLT)
  • Mean time to recover (MTTR)
  • Change failure rate (CFR)
• Change failure catches prior to full rollout
• Uptime (9s)
• Latency
• Response times
• Transactions/requests/queries per second
• Tickets completed
• Tickets added
• Cycle times of tickets, feature etc