Take the Quality Engineering Self Assessment

Every business is undergoing digital transformation. We see unprecedented demand to deliver quality products at speed. Hence, traditional approaches to software testing don’t apply anymore especially with the increasing adoption of Agile and DevOps.

This Quality Engineering maturity model is designed to help you assess how your organization measures up against industry best practices.

Get Started

Stage 1/11

How would you describe your team structure for application development and delivery?

Segregated Dev and QA teams

Dev and QA teams collaborate but majority of testing is done independently after development

Dev and QA are one team. Testing is an integral part of development

There are no designated QA or Dev roles. Quality is every body's responsibility

Stage 2/11

What is the frequency of your releases?

Weekly

Monthly

Quarterly or more

Stage 3/11

Which of the following models best describe your current testing processes?

Conventional waterfall model

Hybrid model – Waterfall + Agile

An agile and flexible model

Start automation early and use BDD/ATDD principles

Stage 4/11

What percentage of your testing efforts are automated?

<25%

25%-50%

50%-75%

>75%

No automation in place

Stage 5/11

How are you leveraging automation in your testing efforts?

Manual GUI based testing

Automated functional and GUI based testing

Automated service layer with functional and regression tests

Automated integration testing and unit level testing

In-sprint automation including unit, headless, GUI and services

No automation in place

Stage 6/11

How would you describe the ability to scale your QA infrastructure?

Dependent on IT teams for infrastructure needs

Leverage basic virtualization but still dependent on IT

Fully virtual independent testing infrastructure

Leverage cloud based testing infrastructure

Stage 7/11

Are your testing processes integrated with CI/CD pipelines?

No CI Integration

Basic integration. Leverage CI tool for triggering builds

Auto triggered builds and automated tags and versioning

Fully integrated including acceptance tests and performance parameters

Stage 8/11

Which of the following best describes your test data?

Test data is isolated. Automation frequently fails due to environment and test data issues

Have a proven test data strategy, use popular tools and leverage basic service virtualization

Automated test data generation. Leverage service virtualization using mock objects and stub services

Stage 9/11

Which of the following best describe your test environments

Test environment is shared by many parties and there are frequent outages

Dedicated test environment but there are contentions on its uptime

Test environment can be created from a script at our will

Stage 10/11

Quality in digital is all about speed. Are you able to deliver your business needs on time?

Testing cycles are too long to deliver on time

Deliver mostly on time but there is scope for improvement

Always deliver on time

Stage 11/11

Which one of the following QA principles are you using the most?

Service virtualization

BDD/TDD

Risk based testing

Predictive QA using AI and machine learning

In-sprint automation

Infrastructure as code

None of the above