Agilizing Online Academy

Workshop duration

Workshop Objectives

Target Audience

Prerequisites

Downloadable brochure

Module Introduction

1. The concept of Defects Prevention & TDD

2. Why introduce Defects Prevention & TDD

3. Effective Code

4. How to build Continuous testing

5. Identify top risks and control the risks by defects prevention

6. Monitor all the quality details in a big scale project

7. 8 key factors of building a perfect quality monitoring system

Module Introduction

1. How to define Requirements’ quality

2. The impact of frequently changed requirements

3. Estimate the wastes caused by unclear requirements

4. How to assure requirements’ quality (with practice sharing)

5. How to define Architecture Design’s quality

6. Estimate the wastes caused by code refactoring and re-work

7. How to assure technical design’s quality (with practice sharing)

8. How to define Quality Assurance’s Quality

9. The impact of missing testing and inefficient testing

10. Design and build triangular working model to organize PO + Dev + QA as a high efficiency team work

Module Introduction

1. Goal setting: Meet the Release Criteria asap

2. How to define Release Criteria

3. How to make Testing plan and break it down to every QA engineer’s action plan

4. Evaluate needed resource according to testing plan (manpower, schedule, environments, etc.)

5. Abstract generic testing points and increase test cases reusability

6. Key factors of testing spec

7. Key success factors of testing plan

8. Assumption and Limitation during testing

9. Testing validation design

10. Testing environment, tools, topology

Module Introduction

1. The relationship between Automation and TDD

2. The roles and positions of automation related works

3. Showcase: Test-Driven Development practice

4. Design pattern of automation architecture

5. Deployment of automation system

6. Pass Rate and Real Time Quality Monitoring

7. How to check Code Coverage

8. Bug age management

9. Bug tracking

10. Showcase: Defects prevention practice

Module Introduction

1. How to define monitoring data dimensions

2. Fast locate risk areas by testing big data analysis

3. Testing metrics and management support

4. Known Failures vs. New Failures analysis

5. Expand data mining to whole development lifecycle

6. Summary: Key points of Defects Prevention methodologies