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Understanding Quality Engineering vs. Quality Assurance

Key Differences and Impact on DevOps

Quality Engineering (QE) and Quality Assurance (QA) are essential disciplines that play pivotal roles in achieving this goal.


In today's fast-paced software development landscape, ensuring the quality of products and services is paramount. Quality Engineering (QE) and Quality Assurance (QA) are essential disciplines that play pivotal roles in achieving this goal. However, despite their similar-sounding names, QE and QA are distinct approaches with unique objectives, methodologies, and impacts on DevOps practices.

In this blog post, we will delve into the world of QE and QA, highlighting the ten key differences that set them apart and exploring how they impact DevOps, emphasizing collaboration, automation, and continuous improvement.

Key Differences Between Quality Engineering and Quality Assurance

1 - Focus and Objectives

  • Quality Engineering (QE) is a proactive approach focused on preventing defects and improving processes. It aims to embed quality into the entire development lifecycle.

  • Quality Assurance (QA) is a reactive approach primarily concerned with testing and evaluating products to identify defects and ensure compliance with quality standards.


QE Is A Proactive Approach Focused On Preventing Defects And Improving Processes


2 - Lifecycle Involvement

  • QE is involved throughout the software development lifecycle, from requirements, design, and planning to coding, testing, and release.

QE is involved throughout the software development lifecycle
  • QA becomes prominent during testing and may not be as deeply integrated into earlier stages.

3 - Testing Emphasis

The importance of automated testing
  • QE encompasses various testing techniques, including automated testing, performance testing, and security testing. It emphasizes testing earlier in the development cycle.

  • QA mainly focuses on functional and regression testing, often executed in later stages of development.


QA Focuses On Functional And Regression Testing, Executed In Later Dev Stages


4 - Ownership

  • QE involves all team members, including developers, testers, and operations. It promotes a culture of shared responsibility for quality.

  • QA is often associated with a separate testing team responsible for evaluating the product's quality.

5 - Automation

  • QE encourages the automation of testing, deployment, and monitoring processes to enable continuous integration and delivery.

  • While QA may involve test automation, its scope is usually narrower than QE's comprehensive automation approach.

6 - Preventive vs. Corrective

  • QE is preventive in nature, focusing on anticipating and eliminating potential issues before they manifest.

  • QA is corrective, primarily addressing issues and defects that have already occurred.

7 - Metrics and Measurements

  • QE relies on key performance indicators (KPIs) and metrics to measure and improve the efficiency and effectiveness of development and testing processes.

  • QA often focuses on defect metrics, such as defect density and defect removal efficiency.

8 - Continuous Improvement

  • QE fosters a culture of continuous improvement by constantly assessing and refining processes, tools, and methodologies.

  • QA may not have the same level of emphasis on continuous improvement as QE.

9 - Shift-Left Approach

  • QE promotes the "shift-left" approach, where testing and quality activities are integrated early in the development cycle.

  • QA typically follows a more traditional, "shift-right" approach, emphasizing later-stage testing.


QE Promotes A "Shift-Left" Approach - Testing & Quality Are Integrated Earlier In Dev


10 - Cultural Impact

  • QE often leads to an organizational cultural shift, encouraging collaboration, automation, and a DevOps mindset.

  • QA, while important, may not have the same transformative impact on an organization's culture as QE.

Impact On DevOps

Now that we've explored the key differences between QE and QA, it's essential to understand their respective impacts on the DevOps process.

Quality Assurance (QA) in DevOps

Testing and Validation Focus: QA primarily emphasizes testing and validation activities. It involves functional testing, regression testing, and compliance testing, among others, to ensure that the software meets specified requirements and quality standards.

Defect Identification and Reporting: QA teams are responsible for identifying defects and issues in the software, reporting them, and ensuring they are addressed. QA focuses on finding problems and ensuring they are fixed.

QA teams are responsible for identifying defects and issues in the software

Independent Testing Teams: In some organizations, QA teams operate independently from development and operations teams. They perform testing as a separate phase in the software delivery process.

Quality Metrics: QA teams track quality metrics related to defects, test coverage, and test execution results. These metrics help assess the quality of the software but may not be as focused on broader process improvements.

Quality Engineering (QE) in DevOps

End-to-End Quality Ownership: QE promotes a shared responsibility for quality across development, testing, and operations teams. QE team members actively participate in all stages of the DevOps process.

Automation-Centric Approach: QE places a strong emphasis on test automation, including unit testing, integration testing, and continuous automated testing. This automation enables continuous integration and delivery (CI/CD) pipelines. Continuous testing is an essential part of CI and CD pipelines that helps to deliver frequent, high-quality software.

Continuous Improvement and Innovation: QE teams are often at the forefront of DevOps's process improvement and innovation efforts. They continually assess and refine processes, tools, and methodologies to enhance quality and efficiency.

Comprehensive Quality Metrics: QE utilizes a broader set of quality metrics, including not only defect-related metrics but also key performance indicators (KPIs) related to process efficiency, automation coverage, and deployment success rates.

Cultural Transformation: QE's impact goes beyond testing and process improvement; it drives a cultural transformation. QE fosters collaboration, shared ownership, and a DevOps mindset of continuous learning and adaptation.

Automation in CI/CD Pipelines: QE's focus on automation extends to CI/CD pipelines, where automated testing, deployment, and monitoring are integral components, ensuring that only high-quality code is promoted to production.

While QA and QE contribute to DevOps by emphasizing quality, their approaches and impacts differ significantly. QA traditionally focuses on late-stage testing and defect identification, while QE takes a more holistic approach, promoting end-to-end quality ownership, automation, cultural transformation, and continuous improvement. QE's impact on DevOps is broader and aligns more closely with DevOps principles of collaboration, automation, and a shared commitment to delivering high-quality software efficiently.

QE's Impact Aligns More With DevOps Principles (e.g., Continuous Improvement)


In summary, Quality Engineering (QE) and Quality Assurance (QA) may share a common goal of ensuring software quality, but they differ significantly in their approaches, objectives, and impacts. QE's proactive, automation-driven, and collaborative nature makes it a natural fit for DevOps practices, where continuous integration, delivery, and improvement are paramount.

Organizations should consider adopting a QE mindset and incorporating QE practices into their DevOps processes to thrive in today's competitive software landscape. By doing so, they can accelerate the delivery of high-quality software, improve customer satisfaction, and stay ahead in a rapidly evolving industry.

About The Author

Jon White is an experienced technology leader with over 34 years of international experience in the software industry, having worked in the UK, Malaysia, Bulgaria, and Estonia. He holds a BSc (Hons) in Systems Design. He led the Skype for Windows development teams for many years (with 280 million monthly connected users), pivotal in the team's transition to Agile.

Jon has held multiple leadership positions throughout his career across various sectors, including loyalty management, internet telecoms (Skype), IT service management, real estate, and banking/financial services.

Jon is recognized for his expertise in Agile software development, particularly helping organizations transform to Agile ways of working (esp. Scrum), and is a specialist in technical due diligence. He is also an experienced mentor, coach, and onboarding specialist.

Over the last few years, he has completed over a hundred due diligence and assessment projects for clients, including private equity, portfolio companies, and technology companies, spanning multiple sectors. Contact Jon at


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