I was invited to give a talk on Software Quality Assurance at the National Conference for Software Engineering 2012, Sacred Heart College, Tirupattur. The crowd, mostly research scholars and computer science were very eager to know, why I chose Quality Assurance as a profession and what are the possible research directions that they could under take.
I began the talk by explaining what Quality is, its relativity, characteristics and importance. It was more of a QA awareness campaign. Where a quality professional should know, what goes into the code, the wholesome factor - end to end and with customer-end user context . Ideally, it should be taken as a specialization on the base course. (For example, specialization in gynae after the base medicine degree)
And the gist of the talk can be found below.
Systems
Safety
Health critical
Transaction critical
Embedded
Computation/Math/Data/Prediction
Real Time/Signals/Mobile
Virtual
ERP/CRM etc
What goes into the production code?
Various Engagement Models
Consulting (on Prem/ off prem)
Independent Testing
Crowd Sourcing
Factory Method
School of Testing/Heuristics
Business Validation/User Acceptance
Transitioning from testing requirements to Testing ideas
Automatic build deployment and verification etc
Research Directions
I began the talk by explaining what Quality is, its relativity, characteristics and importance. It was more of a QA awareness campaign. Where a quality professional should know, what goes into the code, the wholesome factor - end to end and with customer-end user context . Ideally, it should be taken as a specialization on the base course. (For example, specialization in gynae after the base medicine degree)
And the gist of the talk can be found below.
Systems
Safety
Health critical
Transaction critical
Embedded
Computation/Math/Data/Prediction
Real Time/Signals/Mobile
Virtual
ERP/CRM etc
What goes into the production code?
Various Engagement Models
Consulting (on Prem/ off prem)
Independent Testing
Crowd Sourcing
Factory Method
School of Testing/Heuristics
Business Validation/User Acceptance
Transitioning from testing requirements to Testing ideas
Automatic build deployment and verification etc
Research Directions
•
Measuring
software Quality (Quantitative/Qualitative)
–
Metrics / Cost of Quality
•
Quality Methodologies
/ Test Design Techniques
•
Quality
Processes/Agile methodology/Quality Frameworks and Standards
•
Test
Processes / Test life cycle / Test Phases / Test strategies and methods
•
Complexity
Analysis for testing
–
Test Estimation / Function Point analysis
•
Code/Feature/Test
Coverage
•
Defect
Prediction / Root Cause Analysis / Orthogonal defect classification
•
Test
Generation from Formal Specification / Model Based Testing
•
Design of
Experiments
–
Combinatorial/ pairwise / orthogonal array /
Fractional factorial design
•
Performance/Scalability/Reliability
(PSR)
–
Measuring / Predicting / Certifying
•
Testing on
cloud / Testing applications on Cloud
•
Test
Automation Framework
–
Ad Hoc/Data Driven/Keyword Driven/Model
Driven/Query Driven
•
Integration
and interoperability
•
Test
Optimization / Prioritization/Operation Readiness
•
Test
Organization/Test Maturity Model
•
Test
Assessment/Domain Maturity/Analysis & reporting/Process Improvements
•
Data
Mining and Inferences / Localization and Internationalization
•
Message
Testing/Data Mining
