2. Consistent Quality in the Era of Constant Change2
Quality - The Customer Paradigm
Quality is Customer’s Right.
Quality is Given
Defining and monitoring meaningful Metrics
Quality is transparent
Tracing the cause from effect
Quality is traceable
Prediction of performance helps to
maintain Consistent Quality
Quality is futuristic
01
02
03
04
3. Consistent Quality in the Era of Constant Change3
Quality - The Organization Paradigm
3
Focus on Implementation of Quality Plan
Implemented
Effective Quality Planning
Planned
Control the cost of Quality
Cost Controlled
5. Consistent Quality in the Era of Constant Change5
Evolution of Quality Management
5
1924 -
Statistical
process
control
charts
1930 -
Tables for
acceptance
sampling
1940’s -
Statistical
sampling
techniques
1950’s -
Quality
assurance/
TQC
1960’s -
Zero
defects
1970’s -
Quality
assurance
in services
1987 –
ISO 9000
1993 –
CMM for
Software
2008 – Agile
Methodologies
2009 -
DevOps
6. Consistent Quality in the Era of Constant Change6
TOTAL QUALITY MANAGEMENT
TQM
Requirements
Assurance
Architecture
& Environment
Assurance
UAT & Release
Assurance
Customer
Satisfaction
Assurance
Consumer/Agent needs
Product Features
IT Elicitation gaps
Quality Function Deployment
User Experience
Product Performance
Product Flexibility
Real-time Usage Simulation
Roll Back
UAT
Schedule
Scope
Customer Feedback
Post Install Support
Call Centre User Training
Product Documentation
Training
Customer Satisfaction
UAT Residual Defect
Density
Req. Stability Index
Scalability &
Operability Index
ASB
(Arch Service Board)
TLM
(Tech Lifecycle Mgmt)
DA
(Del Assurance)
Strategic re-alignment of QA leads in a TQM approach will not just institutionalize governance but reduce project cost & release timelines with no additional cost.
7. Consistent Quality in the Era of Constant Change7
Quality 360 – Quality Framework: Process and Tools
Requirements and code inspection methods
improve defect prevention.
Automation of code Compliance suing code
Analyzer and Transformer helps improve code
quality.
Test process is comprehensive and proven in
the market place by using Test automation
Data Quality impacts overall application
quality and business performance. Data
Quality automation addresses data quality
issues.