Udemy - Defect Management and Qa Reporting - Metrics and Kpis

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Udemy - Defect Management and Qa Reporting - Metrics and Kpis (Size: 2.6 GB)
  1 - All resources and links for the lesson.txt 102.4 B
  1 - Communication plan.mp4 51.4 MB
  10 - Testing Metrics KPIs Regression Time Verified Issues Rate Pass Rate.mp4 172.1 MB
  11 - of Poduct Automation System Issues Execution Frequency.mp4 254.3 MB
  12 - Execution Time Test Success Ratio of Results Analyzed.mp4 220.8 MB
  13 - Regression Effectiveness Percentage of Automated Tests Auto Savings.mp4 191.8 MB
  14 - All resources and links for the lesson.txt 102.4 B
  14 - Bonus Lesson.mp4 31 MB
  2 - Tips to Improve Your Course Taking Experience.html 1.9 KB
  3 - Defect Management Metrics KPIs Number of Open Defects Defect Leakage.mp4 288.9 MB
  4 - Defect Management Metrics KPIs Defects per SeverityPriorityEnvRoot cause.mp4 269 MB
  5 - Defect Management Metrics KPIs Defect Density NonResolved Blockers Others.mp4 259.3 MB
  6 - Defect Management Metrics KPIs Quality Debt Index Bug Fixing Projection.mp4 267.8 MB
  7 - Defect Reopen Defect Rejection Open Defects Change Rate Removal Efficiency.mp4 187.6 MB
  8 - Defect Resolution Time Defect Age Detection to Resolution Ratio.mp4 193.7 MB
  9 - Test execution coverage Cost of Quality Test Design Coverage.mp4 288.7 MB
  Bonus Resources.txt 102.4 B
  Get Bonus Downloads Here.url 204.8 B
  ▲ 18 total files

Description


Defect Management & Qa Reporting: Metrics & Kpis

https://WebToolTip.com

Published 5/2025
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.61 GB | Duration: 4h 49m

Learn defect lifecycle, bug tracking, Quality Assurance (QA) & Quality Control (QC) KPIs, metrics analysis, & reporting

What you'll learn
Selecting the right QA metrics for your project
Interpreting trends in test result data
Aligning QA metrics with business objectives
Detecting quality issues early using metrics
Integrating metrics into sprint planning
Using KPIs to support go/no-go decisions
Setting metric-based quality gates
Using data to justify QA resource needs
Visualizing test progress over time
Monitoring automation stability with key indicators
Analyzing root causes of recurring defects
Supporting team retrospectives with hard QA data
Driving test strategy with measurable outcomes

Requirements
General knowledge of software testing principles
Understanding of QA workflows, whether manual or automated
Prior use of bug tracking systems like Jira or similar
Experience working with test management platforms such as TestRail or Zephyr
A desire to improve QA through data and metrics
No need for deep coding or statistical skills

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