Course curriculum
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Workshop duration
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Workshop Objectives
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Target Audience
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Prerequisites
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Downloadable brochure
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Module Introduction
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1. The concept of Defects Prevention & TDD
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2. Why introduce Defects Prevention & TDD
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3. Effective Code
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4. How to build Continuous testing
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5. Identify top risks and control the risks by defects prevention
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6. Monitor all the quality details in a big scale project
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7. 8 key factors of building a perfect quality monitoring system
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Module Introduction
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1. How to define Requirements’ quality
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2. The impact of frequently changed requirements
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3. Estimate the wastes caused by unclear requirements
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4. How to assure requirements’ quality (with practice sharing)
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5. How to define Architecture Design’s quality
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6. Estimate the wastes caused by code refactoring and re-work
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7. How to assure technical design’s quality (with practice sharing)
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8. How to define Quality Assurance’s Quality
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9. The impact of missing testing and inefficient testing
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10. Design and build triangular working model to organize PO + Dev + QA as a high efficiency team work
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Module Introduction
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1. Goal setting: Meet the Release Criteria asap
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2. How to define Release Criteria
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3. How to make Testing plan and break it down to every QA engineer’s action plan
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4. Evaluate needed resource according to testing plan (manpower, schedule, environments, etc.)
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5. Abstract generic testing points and increase test cases reusability
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6. Key factors of testing spec
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7. Key success factors of testing plan
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8. Assumption and Limitation during testing
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9. Testing validation design
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10. Testing environment, tools, topology
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Module Introduction
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1. The relationship between Automation and TDD
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2. The roles and positions of automation related works
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3. Showcase: Test-Driven Development practice
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4. Design pattern of automation architecture
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5. Deployment of automation system
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6. Pass Rate and Real Time Quality Monitoring
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7. How to check Code Coverage
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8. Bug age management
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9. Bug tracking
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10. Showcase: Defects prevention practice
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Module Introduction
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1. How to define monitoring data dimensions
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2. Fast locate risk areas by testing big data analysis
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3. Testing metrics and management support
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4. Known Failures vs. New Failures analysis
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5. Expand data mining to whole development lifecycle
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6. Summary: Key points of Defects Prevention methodologies
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About this course
- Free
- 61 lessons
- 0 hours of video content