Udemy - QA Metrics and KPIs - Testing, Defect Tracking and Automation

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Udemy - QA Metrics and KPIs - Testing, Defect Tracking and Automation (Size: 2.4 GB)
  1 -% of Poduct, Automation, System Issues & Execution Frequency.mp4 239.3 MB
  1 -All resources and links for the lesson.url 102.4 B
  1 -Bonus Lesson.mp4 31 MB
  1 -Communication plan.mp4 51.5 MB
  1 -Defect Management Metrics & KPIs Number of Open Defects & Defect Leakage.mp4 260.1 MB
  1 -Test execution coverage, Cost of Quality & Test Design Coverage.mp4 259.9 MB
  2 - Tips to Improve Your Course Taking Experience.html 1.9 KB
  2 -Defect Management Metrics & KPIs Defects per SeverityPriorityEnvRoot cause.mp4 243.2 MB
  2 -Execution Time, Test Success Ratio & % of Results Analyzed.mp4 207.3 MB
  2 -Testing Metrics & KPIs Regression Time, Verified Issues Rate, Pass Rate.mp4 154.9 MB
  3 -Defect Management Metrics & KPIs Defect Density, Non-Resolved Blockers & Others.mp4 241.9 MB
  3 -Regression Effectiveness, Percentage of Automated Tests & Auto Savings.mp4 180.1 MB
  4 -Defect Management Metrics & KPIs Quality Debt Index, Bug Fixing Projection.mp4 231.3 MB
  5 -Defect Reopen, Defect Rejection, Open Defects Change Rate, Removal Efficiency.mp4 167.3 MB
  6 -Defect Resolution Time, Defect Age, Detection to Resolution Ratio.mp4 175.7 MB
  Bonus Resources.txt 102.4 B
  Get Bonus Downloads Here.url 204.8 B
  ▲ 18 total files

Description


QA Metrics & KPIs: Testing, Defect Tracking & Automation

https://WebToolTip.com

Published 5/2025
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 4h 49m | Size: 2.38 GB

Master QA & QC metrics, test planning, bug tracking, test automation KPIs, and QA reporting techniques

What you'll learn
How to define meaningful QA metrics and KPIs
Test case execution tracking and analysis
Measuring test coverage and test effectiveness
Calculating defect density and leakage rates
Understanding severity vs. priority in defects
How to assess test automation ROI
Tracking and reducing test flakiness
Using metrics in retrospectives and process reviews
Identifying and addressing QA bottlenecks
Metrics for evaluating sprint test readiness
Prioritizing tests with risk-based approaches
Leveraging defect trends to optimize coverage
Calculating mean time to detect and fix defects
Evaluating automation coverage and execution time

Requirements
Basic understanding of software testing concepts
Familiarity with QA processes (manual or automated)
Experience with defect tracking tools (e.g., Jira, Bugzilla)
Some exposure to test case management tools (e.g., TestRail, Zephyr)
Interest in data-driven QA and continuous improvement
No advanced programming or statistics knowledge required

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