Verification vs Validation in Software Testing: Key Differences & Examples

Verification and validation in software testing are vital components of the software development life cycle (SDLC). While the quality assurance checks if the developed program meets the set standards and correctly functions under various conditions, verification and validation are the two massive concepts in this routine, which require proper differentiation.

Hence, verification is the process in which the product is tested for being properly built, while validation considers whether the created product is right for the chosen audience. In this article, we will explore those two concepts and provide practical examples for better understanding.

What Is Verification Testing?

Verification testing refers to the process in which the responsible person checks whether the developed system is being built correctly. And that’s the primary question that defines the verification: “Do we build our product correctly?”.

The main goal of this process is to ensure that the chosen technologies, tools, methods, and techniques align with the final goal and the company’s technical documentation. During the early stages of the SDLC, it’s necessary to include everyday key activities such as code reviews, inspections, static analyses, walkthroughs, and unit tests.

What Is Validation Testing?

Validation testing in software development targets the evaluation of the system in terms of whether it meets both business and customer needs. Here, you ask the question: “Are we building the right product?”.

The goal of this process is simple, as it aims to confirm that the developed system fulfills the intended business purpose. When distinguishing between verification and validation, we should also mention that validation regularly comes after verification at the later stages of the SDLC. Common validation activities include integration testing, functional testing, system testing, and testing of the user’s acceptance rates (UAT).

Difference Between Verification and Validation Testing

Differentiating between verification and validation procedures is essential when you want to ensure a qualitative approach in your SDLC. While each of those processes aims at the overall improvement of the developed system, they are doing it in different ways. In the table below, we have highlighted the key differences that will allow you to see the big picture of the verification and validation (V&V) and properly implement them at different stages of your QA journey.

Importance of Verification and Validation

Understanding the importance of verification and validation in testing is a vital element for delivering effective and high-quality software. Those principles usually work hand in hand to provide you with the desired results, and here are some of the main reasons why they mean a lot to the successful launch of your software or application:

• Complementary roles. The role of verification and validation is equivalent when it comes to ensuring the success of your project. They are not mutually exclusive, as they satisfy both the correctness of the development process and the effectiveness of the created system.

• Early error detection. Verification is going to help you catch bugs and bottlenecks in the code, design, and structure, saving you from the costly fixes in post-production.
• Meeting user expectations. Validation is the key to satisfying the needs of your end-customers. By including it at the proper time, you will be able to hit the target of real-world effectiveness.
• Overall quality. Last but not least, a proper combination of verification and validation testing approaches can increase the performance and overall quality of your final product.

Verification and Validation Testing Examples

To better understand the importance of verification and validation testing in your development routine, let’s take a glance at what they look like while building real systems. Below, we share some practical examples that will explain the critical role of those components and cover all bases in the differences between verification and validation.

Example 1: Validation Error Leading to Incomplete Feature Delivery

The software company decided to develop a program that would allow its users to set the task priorities. The engineering team has carefully evaluated the requirements and implemented the exact solution that was indicated in the technical task, which means that they passed the verification phase. However, engineers skipped the validation phase, which means that the feature wasn’t tested on real users.

Once the product was released, the platform’s end-customers were frustrated due to the absence of visual priority-setting indicators, which were a regular thing in similar services. Consequently, such an oversight in validation has led to disappointment amongst the target audience and additional expenses on further feature revision.

Example 2: Verification Error Leading to Poor User Adoption due to Incorrect UI Logic

The e-commerce business decided to update the checkout flow. Even though it functioned well and passed the acceptance check, users still considered the process confusing. All that happened due to an improper “Place Order” button positioning that was placed at the top of the screen. Such a simple mistake is a massive breaking of the UI standard conventions, which is a perfect example of verification neglect.

All the team had to do was catch and correct this issue during the internal checking routine, like a walkthrough or design review. Instead, as a result of the verification oversight, the company received poor user feedback and low adoption due to the easily preventable mistake.

A Brief Analysis of What Should Have Been Done

In both scenarios, verification and validation processes were separated from one another, which led to poor performance eventually. In the first example, due to the lack of validation specifications, the team didn’t evaluate whether the developed solution would work for the real users, which caused serious issues, despite following the tech documents. In the second case, the lack of verification revision allowed the issue to slip into the prod stage, causing low adoption and negative customer reviews.

Those two cases highlight the fact that both verification and validation can provide results only when applied together, and not in isolation.

Verification and Validation: Best Practices

To receive maximum benefit from your testing strategy, the implementation of the proper practices and methods is required. The properly chosen practice types will allow for an increase in the effectiveness of both verification and validation and an improvement in user adoption:

• Usage of automated tools for static and dynamic testing. Automated testing solutions can help you increase your effectiveness while validating and verifying the product. By introducing automation into your internal processes, you can reduce the number of human errors, speed up the manual tasks, and even provide quick feedback on any element of your system.
• Conducting frequent reviews and audits. Conduction of systematic code reviews, design inspections, and design audits is the best way to maintain the proper quality levels in verification. By paying enough attention to those elements throughout the development, you are not only improving your system but also reducing the risks of costly reworks.
• Integration of early validation with continuous feedback. Do not wait until the end of active development to bring user validation into your routine. Early integration of the feedback loops during development or prototyping will pay off.
• Collaboration across teams for accurate validation. Ensure that the proper communication between the team’s departments is transparent and effective. The cross-functional collaboration is one of the vital elements that allow for validating the developed product from both technical and user-centric sides.

Common Misconceptions in Verification and Validation

Even though they are core components, both verification and validation are frequently misunderstood. Clearing up any remaining misconceptions is the best way to avoid costly issues and build effective business solutions:

• They are interchangeable. Both of those core components serve different purposes. While a verifier checks whether the proper system is created, a validator thinks about the correctness of the approach chosen for development.
• Validation is optional. Skipping the validation is a move that can indeed save you a little time. However, by deciding to skip the validation, you can misunderstand the user’s needs, leading to negative feedback and dissatisfaction.
• The responsibility is solely on the testers. Cross-team collaboration is required to deliver an effective solution to your end-users. While the technical quality is indeed the primary goal of QA testers, cross-team collaboration is essential when it comes to the proper delivery of the whole experience.

Conclusion

Verification and validation are the core components of any quality assurance routine. While the verification checks if you created a logical product, validation ensures that the solution is aligned with the customer’s expectations. Understanding their differences and the combined application throughout the development is a key to delivering a reliable experience to your customers.

Are you looking to enhance your QA game? Explore how White Test Lab can increase your effectiveness and boost user satisfaction while using expert-led testing approaches at every stage of the way. Quality is not the final destination, but a continuous path, so let’s walk through it together.