2. Agenda Introduction Metrics basics Business metrics Code metrics Design metrics Process metrics Automation metrics Testing metrics Other metrics Best practices
3. Introduction " Tell me how you will measure me and I will tell you how I will behave " - Eliyahu Goldratt ” If you can’t measure it, you can’t improve it” - Lord Kelvin
5. Metrics Uses Understand real ROI Plan market strategies, product releases Fail fast and save money Identify and mitigate business risks Estimate new projects Award bonuses to developers
6. Why Do We Measure? To inform To compare To motivate To understand To improve To protect
7. Why Metrics Are So Important? Great help for retrospectives Continuously gives feedback Help to have healthy code base To refactor code To be able to do frequent releases Show issues early
9. Useless Metrics Total lines of code Line of code per developer Total number of completed tasks Total time worked Bugs fixed
10. Business Metrics RTF (Running Tested Features) Earned Business Value (EBV) Net Present Value (NPV) Internal Rate of Return (IRR) Return on Investment (ROI)
11. RTF Basics Running – shipped in a product Tested – continuously pass acceptance tests Features – real customer given features
12. RTF Agility RTF requires feature count to grow from first day so team is focused on features RTF requires feature count to grow continuously so team integrates often RTF requires features to be tested so team has contract with the customer RTF requires tests continue to pass so tests are automated RTF requires to grow smoothly so design will need to be clean
13. RTF Smells RTF is zero from start during some sprints RTF starts fast and then slow down RTF behaves like yoyo RTF grows too quickly
14. EBV Basics Each story has its own relative weight assigned by product owner Each story has binary status: done/not done EBV calculated as sum of weights for done stories
15. EBV Agility Focus on business value so no big upfront design Don’t work on layers, but on features Customer sees value immediately Features prioritizing instrument Help planning releases and demos
16. Business Metrics Tools Agile task management tool/plug-in Issues management system MS Excel
17. Code Metrics Cyclomatic complexity Best practices violation Coding standards violation Possible bugs Code duplication Code coverage Dead code Tests quality
18. Code Metrics Tools Checkstyle PMD/CPD Jester Findbugs Simian Maven site plug-in Intellij IDEA inspections
24. Design Metrics Code dependencies Incoming (Affering Coupling) Outgoing (Efferent Coupling) Abstractness Number of abstract classes and interfaces Number of concrete classes
27. Process Metrics Agile practice maturity Impediments cleared per iteration Impediments carried over the next iteration User stories carried over the next iteration User stories done per iteration Defects carried over the next iteration Team member loading Velocity Backlog size
36. Testing Metrics Acceptance tests per story Defects count per story Tests time to run Tests run frequency Manual tests per story Automation percent Time to fix tests
42. Best Practices Don’t produce metrics that no one wants Be honest about metrics usage Don’t use metrics to compare teams Use metrics as a basis of discussion Don’t demoralize team with metrics Take team state into account when selecting metrics Don’t select hard produced metrics
43. Best Practices Measure outcomes, not outputs Measure results, not activity Measure work items done, not time spent per task Follow trends, not numbers
44. Best Practices Don’t measure something just because you can Use just enough set of metrics Use metrics that are easy to collect Share metrics to get feedback Different metrics for product and process