What is Quality Engineering? Explaining What It Is (& Isn’t)

In the fast-paced world of software development, ensuring the quality of your product is paramount. Quality Engineering is a concept that goes hand-in-hand with Quality Assurance, but offers a different perspective on how to achieve the goal of “quality.” In this article, we'll explore the distinct world of Quality Engineering and why it's essential for creating high-quality software products.

What is quality engineering?

Quality Engineering, in simple terms, is the systematic approach to building quality into your software from the very beginning. It encompasses a set of principles and practices aimed at preventing defects rather than merely detecting them after the fact. The goal is to ensure that quality is ingrained in every phase of your software development process.

Quality engineering vs. quality assurance

Before we delve further into Quality Engineering, let's differentiate it from Quality Assurance (QA). Quality Engineering and Quality Assurance both play crucial roles in ensuring software quality, but they approach it differently.

Quality Assurance is the practice of systematically monitoring and evaluating the software development process to ensure that quality standards are met. It typically focuses on the final stages of development, where testing is a primary activity. QA aims to identify and correct defects before the software reaches customers.

Quality Engineering takes a more proactive stance. It's about integrating quality into every aspect of the software development process, from inception to delivery. QE seeks to prevent defects at the source rather than relying solely on detecting issues through testing. It's a holistic approach that promotes a culture of quality throughout the organization.

Here's a deeper look at the differences:

Prevention vs. Detection - QA's primary goal is to detect and fix defects in the software testing phase, whereas QE emphasizes preventing defects from occurring in the first place, from the earliest stages of design, coding, and throughout the development lifecycle.

Collaboration - QE encourages collaboration among cross-functional teams, including developers, testers, and operations, to build quality into every step of development. QA often works in isolation from other teams, focusing on post-development testing.

Continuous Improvement - QE is also an ongoing process of continual improvement, ensuring that quality measures evolve with changing project requirements and industry standards. QA is more about validating the quality of a finished product.

In practice, QA and QE are not mutually exclusive — rather, they complement each other. QA ensures the quality of the final product, while QE ensures quality is a proactive, integral part of the entire development process.

QE goals

When applied to software development, quality engineering has specific and well-defined goals that are geared toward ensuring the creation of high-quality applications. These goals align with the unique challenges and requirements of the software development process:

Early Issue Detection - detect issues early in the development process through rigorous testing and validation to prevent costly problems down the road.

Continuous Improvement - constantly enhance processes, tools, and practices for better software quality.

Integration into Development Lifecycle - embed quality measures in every development phase, from requirements to deployment.

Customer Satisfaction - ensure software meets or exceeds customer expectations for high satisfaction.

Quality engineering components

There are several important areas of QE when it comes to getting the most out of your software development:

Lifecycle Integration - Quality Engineering is not a one-time activity but an integral part of the software development process. It means weaving quality measures throughout each stage, from design to deployment.

Test Automation - a utomated testing tools and practices play a crucial role in Quality Engineering. They help detect issues early, ensuring that the software remains consistent and bug-free as it evolves and changes.

Continuous Integration and Continuous Delivery (CI/CD) - integrating Quality Engineering into CI/CD pipelines ensures that any code changes are thoroughly tested before deployment, reducing the chances of introducing defects into the production environment.

QE frameworks

When applying quality engineering to your processes, there are a few different frameworks that best suit and enable progress toward the goals we discussed above:

DevOps - the adoption of DevOps practices encourages collaboration and integration between development and operations teams, creating a smoother pathway for Quality Engineering.

Shift-Left Testing - this practice emphasizes testing at earlier stages of development. The earlier you find and fix issues, the less costly and disruptive they become.

Test-Driven Development (TDD) - in TDD, tests are written before the code. This approach ensures that the code is designed with quality in mind and is expected to pass predefined tests.

Measuring quality engineering

Measuring the effectiveness of Quality Engineering is essential to understand how well your processes are working and to identify areas for improvement. Here are some key metrics and measurement approaches for QE effectiveness:

Defect Density - this metric calculates the number of defects per unit of code (e.g., defects per thousand lines of code). A lower defect density indicates higher quality.

Test Coverage - test coverage measures the percentage of your code that has been tested. It helps identify areas of the application that lack proper testing and might be more prone to defects.

Mean Time to Detect and Resolve Issues - this metric tracks the time it takes to identify a defect and the time it takes to resolve it. Faster detection and resolution times are indicative of a more effective QE process.

Customer Satisfaction - survey customers or gather feedback to gauge their satisfaction with your software. High levels of satisfaction are a sign of a successful QE process.

Cost of Quality - analyze the costs associated with maintaining quality. This includes the cost of testing, defect resolution, and the impact of defects on the business. Lowering the cost of quality signifies effective QE practices.

Release Stability - monitor the stability of your releases by tracking the number of critical defects reported post-release. A stable product is a testament to effective QE.

Regression Test Pass Rate - measure the percentage of regression tests that pass without any failures. A high pass rate indicates that changes are not introducing new defects.

However, remember that the choice of metrics should align with your specific project goals and objectives.

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Quality Engineering is the foundation of modern software development, ensuring that excellence and reliability are embedded in every step of the process. By integrating QE into your development journey, you can achieve consistent, high-quality results and satisfied users.

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