Functional Testing : Definition, Types & Examples

In the simplest words, functional testing checks an application, website, or system to ensure that it is doing exactly what it is meant to.

In the planning stages, every project creates a document listing functional or requirement specifications. Essentially, it is a list of what the app/system/website is supposed to do from a user’s perspective.

What is Functional Testing?

Functional testing is a type of software testing that verifies the functionality of a software system or application. It focuses on ensuring that the system behaves according to the specified functional requirements and meets the intended business needs.

The goal of functional testing is to validate the system’s features, capabilities, and interactions with different components. It involves testing the software’s input and output, data manipulation, user interactions, and the system’s response to various scenarios and conditions. Functional testing is only concerned with validating if a system works as intended.

This article will lay out a thorough description of functional testing, its types, techniques, tools, best practices, and examples for a deeper understanding.

Types of Functional Testing

• Unit Testing: This is performed by developers who write scripts that test if individual components/units of an application match the requirements. This usually involves writing tests that call the methods in each unit and validate them when they return values that match the requirements.
  In unit testing, code coverage is mandatory. Ensure that test cases exist to cover the following:
  • Line coverage
  • Code path coverage
  • Method coverage
• Smoke Testing: This is done after the release of each build to ensure that software stability is intact and not facing any anomalies.
• Sanity Testing: Usually done after smoke testing, this is run to verify that every major functionality of an application is working perfectly, both by itself and in combination with other elements.

• Regression Testing: This test ensures that changes to the codebase (new code, debugging strategies, etc.) do not disrupt the already existing functions or trigger some instability.
• Integration Testing: If a system requires multiple functional modules to work effectively, integration testing is done to ensure that individual modules work as expected when operating in combination with each other. It validates that the end-to-end outcome of the system meets these necessary standards.
• Beta/ Usability Testing: In this stage, actual customers test the product in a production environment. This stage is necessary to gauge how comfortable a customer is with the interface. Their feedback is taken for implementing further improvements to the code.

Functional Testing vs Non-functional Testing: Differences

Just like how functional testing focuses on the operational aspect of the application, Non-functional testing covers non-functions attributes of any software. It tests everything not already verified by functional tests, such as performance, visual, usability, stability, efficiency, maintainability, and portability.

Steps performed in Functional Testing

The overview of a functional test includes the following steps:

Generally, functional testing in detail follows the steps below:

Functional Testing Example

To understand the different types of functional tests, here’s a test scenario to different kinds of functional testing techniques.

Test Scenario:

An online HRMS portal on which the user logs in with their user account and password. The login page has two text fields for username and password. It also has two buttons – Login and Cancel.

When successful, the login page directs the user to the HRMS home page. The cancel button cancels the login.

Specifications:

The use-case scenario above can be tested through a variety of functional testing techniques.

1. End-user based/System Tests

Test the system to gauge if all components are working perfectly in combination.

In the example, this would entail testing the customer journey – HRMS application loading, entering accurate credentials, directing to the home page, performing tasks, logging out of the system. This test ensures that this workflow proceeds and completes without any errors.

2. Equivalence Tests

Test data is segregated into partitions called equivalence data cases. In this test, data in each partition must respond in the same way. Consequently, you only need to test one condition across all partitions. If the condition does not work in one partition, it won’t work in any of the others.

In the example, since the user id field can accommodate a maximum of 10 characters, it should behave the same way anytime data > 10 is entered.

3. Boundary Value Tests

These tests are used to check how the system behaves when data limits are implemented.

In the example, since the user id requires a minimum of 6 characters, this test will be used to check how the system responds when less than 6 characters are entered.

4. Decision-based Tests

These tests are initiated to check for possible system outcomes when a particular condition is met.

In the example, the following decision-based tests can be undertaken:

• If incorrect credentials are entered, the system should inform the user and reload the login page.
• If correct credentials are entered, the system should take the user to the home page UI.
• If correct credentials are entered but the user wants to cancel login, the system should not direct to the home page UI.
• Instead, it should reload the login page.

5. Ad-hoc Tests

These tests uncover discrepancies that might not have been identified in any of the other tests. Ad-hoc tests are targeted toward breaking the system and checking its response.

In the example, an ad-hoc test could be conducted to check the following:

While a user is still logged in, the administrator deletes their account – that too while the user is performing tasks. The test would check if the application responded gracefully in such a scenario.

Why automate Functional Tests?

Automation can certainly reduce time and effort in executing functional tests. Human error can also be lowered, preventing bugs from slipping past the test phase.

However, increased automation means that QAs need to develop test cases for each test. Naturally, formulating the right test case is pivotal, along with identifying the right automation tool for the purpose.

What to look for in the right Functional Testing Automation Tool?

Top Functional Testing Tools and Frameworks

Here’s a list of Functional Testing Tools and Frameworks that you can use to run functional tests:

Best Practices for Functional Testing

How to perform Functional Testing with BrowserStack?

Whenever a developer submits a PR, teams must run functional tests that must execute fast enough to generate immediate feedback. Naturally, as more code is developed, it becomes more difficult to execute tests quick enough to keep the workflow efficient.

With BrowserStack, this problem is solved by offering the ability to run hundreds of Selenium and Cypress tests in parallel. This reduces overall test suite execution time from days or hours to minutes.

Additionally, functional tests can be run on more than 3000+ real browsers and devices. Device, browser, or OS fragmentation is no longer a concern, as BrowserStack facilitates testing in real user conditions on both desktop and mobile devices.

Start Functional Testing on BrowserStack

Functional Testing is an integral part of any software testing mechanism. It guarantees that a system operates exactly how it is meant to, in real-time. Given that functional testing occurs from a user’s perspective, it results in the delivery of a high-quality product that meets customers’ requirements and provides highly satisfactory user experiences. Naturally, this makes life easier for developers and business personnel alike.

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