Quality Assurance to Quality Engineering: How to Navigate

From Manual Testing to Automated Quality: My Journey to Quality Engineering

With over 10 years of experience testing software applications on thousands of real mobile devices and browsers, I‘ve witnessed firsthand the growing importance of quality in technology. As both startups and enterprises focus more on rapid releases, automation, cloud infrastructure, and great end-user experiences, there has been a necessary evolution from siloed "quality assurance" roles to integrated "quality engineering" roles.

In this post targeted at both new testers and seasoned QA analysts looking to advance, I‘ll overview the seismic shifts happening in the quality space and provide tips on making the pivot to become a well-rounded quality engineer.

Defining QA vs QE Roles

First, let‘s clearly define both roles:

Quality Assurance focuses on validating software quality for releases using manual testing methods. QA testers act as user stand-ins, employing use cases to spot defects. QA roles outside of engineering, testing after development.

Quality Engineering takes a process-centric view, using test automation, data analytics, and collaboration with developers to improve quality across the entire development lifecycle. QE roles bring testing into builds and pipelines.

As someone who has transitioned from doing strictly manual testing to leading broader quality efforts, I‘ve experienced the changes firsthand. When I started out, waterfall development approaches were still common, enabling siloed QA roles. But maturing DevOps, continuous delivery and cloud-native infrastructure demanded a quality shift.

Evolution of QA: Waterfall Model No Longer Works

When I began performing manual software testing over a decade ago, waterfall development dominated. With long release cycles and siloed teams, projects followed a sequential progression:

Planning > Development > Testing > Release

This enabled quality assurance to operate as a separate testing organization, responsible only for validating releases before they went out. Using documented test plans and cases, my job was to act as an end user, find defects, log detailed issue reports, and confirm fixes.

As modern methodologies emerged, like agile and iterative development, this model failed. Releases became frequent, development teams moved faster, and having QA test at the end couldn‘t keep pace. We needed to integrate quality checks into the development cycles themselves.

The Rise of Integrated Quality Engineering

Today, across my test automation consultancy covering various industries, we leverage quality engineering to drive better software experiences. Both startups building new mobile apps and large enterprises modernizing legacy systems have adopted QE principles.

The key drivers leading organizations of all sizes to embrace quality engineering include:

Faster Delivery: CI/CD pipelines enabling multiple daily releases demand test automation frameworks. Manual testing can‘t keep up. Integrating automated checks and test data analytics into the pipeline is essential for rapid, quality delivery.

Infrastructure Complexity: With container orchestration, microservices, hybrid/multi-cloud infrastructure, and global deployments, validating end-to-end quality requires much more than UI checks. QE brings testing into infrastructure management.

Customer Focus: For web and mobile products, the quality bar is high. With users quick to abandon apps with defects, perceived performance issues, or lackluster experiences, prioritizing quality engineering brings tremendous value.

Competitive Advantage: Startups and technology leaders alike realize quality equates to faster feature delivery, reliable experiences, and happy customers. QE is a key competitive differentiator.

Day-to-Day: Activities of a Quality Engineer

My average workday as a quality engineering leader looks fairly different from my early QA analyst days. Here‘s an overview of how I spend my time:

  • Collaborating with developers on unit tests: I routinely review our code coverage metrics and work with developers on areas needing increased automated unit checks.

  • Enhancing automation frameworks: I architect our test automation frameworks and work with my team to expand test coverage and acceleration of our UI and API checks.

  • Performing integration/scalability testing: I help define scenarios for our performance/load testing automation across various infrastructure conditions and loads.

  • Analyzing quality data: Across builds, releases, and test cycles, I analyze defect, performance, and usage data to identify improvements.

  • Researching cutting-edge tools/processes: I continually research emerging quality methods like AI-driven testing, shift-left techniques, and test data generation solutions.

Making the Transition from QA to QE

For testers coming from traditional quality assurance backgrounds looking to expand their skills, evolving into a quality engineer with both technical and process skills is key for career growth. Here are my top tips:

Learn In-Demand Testing Skills

Get hands-on practice with test automation tools like Selenium, testing frameworks like TestNG and quality solutions like BrowserStack. The more real-world exposure, the better.

Understand Modern Development

Immerse yourself in understanding agile, DevOps, CI/CD and other modern processes. Know how testing fits across the entire development lifecycle.

Define Your Goals

Outline the testing processes and solutions you want to help drive adoption of. This vision keeps your learning targeted on acquiring relevant skills.

Always Be Learning

With the speed of change in technology, learning must be continual to stay relevant. Attend conferences, take courses, experiment with new tools.

The Future: Continued Quality Focus

Looking ahead, here are the key quality and testing trends I‘m keeping an eye on:

  • AI-driven testing to increase test coverage, defect detection and test creation
  • Observability across production for customer experience monitoring
  • Test data management for easier test data generation and provisioning
  • Open source adoption driving increased innovation

As development gets faster and infrastructure more complex, quality engineering will only increase in criticality for delivering great products. Exciting times ahead!

Next Steps for Readers

For testers of all levels, some key takeaways:

  • Learn the key differences between traditional quality assurance and modern quality engineering
  • Understand why quality is taking on increased importance for all companies
  • For QA analysts, begin progressing towards a quality engineering mindset and tool expertise

I‘m excited to see testing continue maturing from a manual, reactionary duty to an integrated, quality-driving discipline. I welcome your feedback and questions!

Regards,
[Your Name] Principal Quality Engineer
[Your Company]

How useful was this post?

Click on a star to rate it!

Average rating 0 / 5. Vote count: 0

No votes so far! Be the first to rate this post.

Similar Posts