Overview | |
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Definition (Hover Text) | measures ratio of the total number of defects (bugs) linked to closed stories and the size of a closed stories |
Source Tools | Jira, Azure |
Graph type | Line |
Filters | <None> |
Hover Format on KPI | Sprint Name: <<Percentage Value>> Defects: <<Value>> Total Size of Closed stories : <<Value>> |
Fields on Overlay |
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Business Logic | |
Calculation Formula | No. of defects tagged to all stories closed in a sprint/ Total size of stories closed in the iteration |
Trend | Positive trend indication - Decrease |
Maturity Levels | M1: > 90% M2: 60% -90% M3: 25%-60% M4: 10-25% M5: <10% |
Instance level thresholds | |
Configurations | |
Processor Fields | NA |
KPI Specific fields |
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How to Validate KPI | |
Suggested ways of working | |
Sample JQLs | project in ("XYZ") and component =ABC and type in (Defect) and issueFunction in linkedIssuesOf("type in (Story) AND sprint in(406)") |
Benefits of KPI | |
How does the KPI help | The Defect Density KPI measures the number of defects per unit of code or product, helping teams improve product quality, reduce costs, and increase customer satisfaction by identifying areas for improvement and prioritizing testing efforts. |
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