How to Measure and Optimize Your Software Development Process with Key Metrics

Agile Process

Story Completion Rate: Completion rate of story points in the most recent sprint (completed story points / initial story points * 100%). Data source: JIRA. Calculation details and sprint definition are provided.

Unplanned Stories: Ratio of story points added after sprint start to initial story points. Data source: JIRA.

Task Completion Rate: Ratio of completed sub‑tasks to total sub‑tasks in the current sprint. Data source: JIRA.

Backlog Volume: Sum of story points of unfinished stories not in an active sprint. Data source: JIRA. Calculation: sum(unfinished stories) * 3 (average 3 points per story).

Delivery Cycle: Average delivery time of stories in the most recent sprint (TPM acceptance time – story creation time, excluding holidays). Data source: JIRA.

Sprint Throughput: Total completed story points in the most recent sprint. Data source: JIRA.

Team Productivity: Throughput divided by (unique assignees * working days) for the most recent sprint. Data source: JIRA.

R&D Process – Coding

Total Code (KLOC): Sum of code lines across all pipelines. Data source: GIT.

Code Commits (last 2 weeks): Number of commits in the last 14 days. Data source: GIT.

Code Changes (KLOC, last 2 weeks): Additions + deletions in the last 14 days. Data source: GIT.

Continuous Integration

Integrated Pipelines: Total number of pipelines connected to DevOps.

Active Pipelines (last 2 weeks): Pipelines with build records in the last 14 days. Data source: DevOps.

CI Runs (last 2 weeks): Total number of continuous and manual builds in the last 14 days. Data source: DevOps.

Integration Success Rate (last 2 weeks): Successful builds / total builds in the last 14 days. Data source: DevOps.

Technical Debt

Technical Debt (days): Accumulated debt days for the latest Master branch build. Data source: DevOps.

Technical Debt Density (days/KLOC): Debt days divided by total code lines. Data source: DevOps.

Code Defect Count: Total defects from Sonar scans of the latest Master build. Data source: DevOps.

Code Vulnerability Count: Total vulnerabilities from Sonar scans of the latest Master build. Data source: DevOps.

Unit Testing

Overall Coverage: Weighted unit‑test coverage across front‑end, back‑end, and mobile pipelines. Target > 25%.

Mobile Coverage: Coverage for apk/ipa pipelines. Target unspecified.

Web Coverage: Coverage for H5 pipelines. Target > 25%.

Backend Coverage: Coverage for tomcat/boot/pom pipelines. Target > 25%.

Test Execution Count (last 2 weeks): Total unit‑test executions in the last 14 days. Data source: DevOps.

Test Case Count: Total unit‑test cases. Data source: DevOps.

Test Screening Result: Pass/Fail result of unit‑test screening. Data source: DevOps.

Smoke Testing

Total Cases (last 2 weeks): Number of smoke test cases executed via DevOps and JIRA.

Planned Executions (last 2 weeks): Number of planned smoke test runs via JIRA and DevOps.

Planned Overall Pass Rate (last 2 weeks): Passed plans / total plans.

Case Execution Count (last 2 weeks): Executed smoke test cases count.

Case Overall Pass Rate (last 2 weeks): Passed cases / total cases.

Test Metrics

Automated Test Case Count: Number of automated test cases created by test engineers. Data source: Quality Platform.

Automation Ratio: Automated cases / total test cases (JIRA). Data source: Quality Platform & JIRA.

Test Plan Execution Count: Number of automated test plan executions in the last 2 weeks. Data source: Quality Platform.

Automation Plan Pass Rate: Successful automated plan executions / total executions (last 2 weeks). Data source: Quality Platform.

Test Code Coverage: Coverage from the most recent completed test plan (Jira) as recorded in DevOps.

Quality Process

Jira Activity (last 2 weeks): Number of Jira operations (issues, tasks, bugs, test plans, etc.) performed. Data source: DevOps.

Legacy Defect Total: Number of unresolved defects older than 14 days (excluding closed/rejected). Data source: JIRA.

New Defect Total (last 2 weeks): Number of newly created defects in the last 14 days. Data source: JIRA.

Average Defect Fix Time (last 2 weeks): Average time from defect creation to closure, calculated in working hours (08:00‑20:00). Excludes rejected or postponed defects. Target < 2 days.

Defect Density: Defects per story point. Calculated differently for Agile and Waterfall projects. Target < 0.3 defects per KLOC for waterfall.

Mid‑Level+ Defect Ratio (last 2 weeks): Ratio of mid‑level and above defects to all new defects. Target < 60%.

Defect Reopen Rate (last 2 weeks): Reopened bugs / total bugs (including production). Target < 5%.

Defect Fix Rate: Closed defects / total defects. Data source: JIRA.

Continuous Delivery

SIT Delivery (last 2 weeks): Number of releases to SIT environment.

SIT Success Rate (last 2 weeks): Successful SIT releases / total SIT releases.

UAT Delivery (last 2 weeks): Number of releases to UAT environment.

UAT Success Rate (last 2 weeks): Successful UAT releases / total UAT releases.

PRE‑STD Delivery (last 2 weeks): Number of releases to PRE‑STD environment.

PRE‑STD Success Rate (last 2 weeks): Successful PRE‑STD releases / total PRE‑STD releases.

PROD Delivery (last 2 weeks): Number of releases to PROD environment.

PROD Success Rate (last 2 weeks): Successful PROD releases / total PROD releases.

Defect Escape Rate

Last 90 Days: Ratio of mid‑level+ production defects to total mid‑level+ defects (production + non‑production) over the past 90 days. Target < 5%.

All calculations are performed by the DevOps or Quality platforms as noted for each metric.