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QUALITY ASSURANCE – WINNING
FORMULA
Sreeram Kishore Chavali
CHALLENGES
 Balancing business goals and quality criteria
   Get it right first time Vs Get it out on time
 Prevention
   Costs due to bad quality
   Lost customers
IDEAS THAT WORK



People            Planning          Process
• Domain          • QA Strategy     • Enforcement
  experience      • Scope           • Exceptions
• Training        • Priorities      • Tools
• Customer        • Resources       • Metrics
  exposure        • Risks
• Product         • Exit Criteria
  Knowledge
                  • Resource
• Dev: QA Ratio     Investment
INVESTMENT OF RESOURCES


                                   Business
             Unit/Reliability
                                   Scenario
                Testing
                                   Testing




         Certification                  Automation



                         Performance,
                           Volume,
                            Stress
                           Testing
CUSTOMER FOCUS
 Role play: Simulate user scenario
   Data
   Environment
   Workflow
 Validate scenarios for ‘closeness’ to real-life
 scenarios
   Crash-Testing of Cars
 Understand Usage
   80 – 20 rule of functionality
 User Profiles
   Roles, Tasks
AUTOMATION
 Code Coverage
   How many lines of code is covered through
   automated tests?
   What is good enough target? 60%?
   What is practical given resources/technology?
 Code Coverage goals for
   Most used features in application
   High risk areas
DEFECT ESCAPE RATE
 Defects found after a product release
 Review all of them
   Identify root cause (5 Whys)
   Set a baseline for release
   Monitor for future releases
 Refine processes/training to keep this stable or
 lower
DON’T FORGET BASICS
 Reliable bug tracking system
 Clear instructions in bugs to avoid confusion
   Steps to reproduce
   Severity and priority
   Screenshots
 Instructions to differentiate between bugs and
 enhancements
 Impacted customers for defects/enhancements
NEED FOR SPEED
 Keep the train moving
 Bucket features into
   High dev effort, high regression impact (Major
   change)
   Low dev effort, high regression impact (Architecture
   changes)
   Low dev effort, low regression impact (UI changes)
   High dev effort, low regression impact (new features)
 Plan releases with a mix of features to minimize
 overall regression testing effort

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Quality assurance – winning formula

  • 1. QUALITY ASSURANCE – WINNING FORMULA Sreeram Kishore Chavali
  • 2. CHALLENGES Balancing business goals and quality criteria Get it right first time Vs Get it out on time Prevention Costs due to bad quality Lost customers
  • 3. IDEAS THAT WORK People Planning Process • Domain • QA Strategy • Enforcement experience • Scope • Exceptions • Training • Priorities • Tools • Customer • Resources • Metrics exposure • Risks • Product • Exit Criteria Knowledge • Resource • Dev: QA Ratio Investment
  • 4. INVESTMENT OF RESOURCES Business Unit/Reliability Scenario Testing Testing Certification Automation Performance, Volume, Stress Testing
  • 5. CUSTOMER FOCUS Role play: Simulate user scenario Data Environment Workflow Validate scenarios for ‘closeness’ to real-life scenarios Crash-Testing of Cars Understand Usage 80 – 20 rule of functionality User Profiles Roles, Tasks
  • 6. AUTOMATION Code Coverage How many lines of code is covered through automated tests? What is good enough target? 60%? What is practical given resources/technology? Code Coverage goals for Most used features in application High risk areas
  • 7. DEFECT ESCAPE RATE Defects found after a product release Review all of them Identify root cause (5 Whys) Set a baseline for release Monitor for future releases Refine processes/training to keep this stable or lower
  • 8. DON’T FORGET BASICS Reliable bug tracking system Clear instructions in bugs to avoid confusion Steps to reproduce Severity and priority Screenshots Instructions to differentiate between bugs and enhancements Impacted customers for defects/enhancements
  • 9. NEED FOR SPEED Keep the train moving Bucket features into High dev effort, high regression impact (Major change) Low dev effort, high regression impact (Architecture changes) Low dev effort, low regression impact (UI changes) High dev effort, low regression impact (new features) Plan releases with a mix of features to minimize overall regression testing effort