Written By :Appsierra

Thu Dec 14 2023

5 min read

Functional vs. Non-Functional testing: Key Difference

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Functional Testing Vs Non-Functional Testing

Software testing is broadly categorized into two types: functional and non-functional testing. Also, effective quality assurance and approaches in programs usually incorporate both. So every QA team needs to understand the difference between them.

Difference Between Functional And Non-Functional Testing

The functional and non-functional requirements specify how a system should act or function. But non-functionals can also show how it will operate and its usability for any business. Here are the key points:

  • During non-functional testing, all non-functional components of the program, such as performance, usability, and reliability, are verified. However, each function and feature of the software is verified during functional testing.
  • In contrast to non-functional testing, which is dependent on the customer's expectations, functional testing is performed on the customer's needs.
  • Non-functional testing seeks to evaluate the program's usability. However, functional testing aims to validate software actions.
  • Functional describes what the product does. But Non-Functional is about how it functions.

Example: The functionality of logging in or registering is an example of functional testing. While the dashboard should load in no more than two seconds is an example of non-functional testing.

What Is Functional Testing?

Functional testing in software testing is used to confirm that the software system complies with any applicable requirements or standards, as stated. A practical test's primary goal is to evaluate each software application function by giving pertinent input and comparing the output.
 

Functional Testing
Functional Testing

Different Types Of Functional Testing

Let’s see the different types of functional testing performed to ensure product quality.

  • Unit Testing

A developer performs this to determine whether or not many code units are related to one another. Additionally, to develop a few functionalities. It is sometimes required to do this to develop unit tests that explicitly describe the actions executed by each division. Additionally, after obtaining the required inputs and the anticipated return code, validate them.

  • Sanity Testing

Performing this ensures that all crucial features of the apps or systems are functional.

  • Smoke Testing

When each build is released, this is done to guarantee consistency.

  • Regression Tests

This is done to ensure that new code additions, improvements, as well as defects don't damage the current functionality by causing any instability and still perform as intended.

  • Integration Tests

Integration testing is the process of validating the application of such procedures when a system depends on numerous functional modules that each performs independently but must be coupled to accomplish an end-to-end scenario.

  • Beta/Usability Testing

In beta testing, the consumer sees the product in a setting similar to a production facility and can identify it. User acceptability testing and this are considerably similar.

Different Types Of Functional Testing Strategies

There are many different functional testing techniques, but a combination of human and automated testing is the most effective way to verify functional test coverage.

Normally, the most popular functional testing methods are called "black-box" testing procedures since they don't need the tester to examine the internal source code. But instead, verify functioning by testing different input combinations. The following is a list of typical functional as well as non-functional testing types, with examples:

  1. Testing the installation of a desktop or mobile application to ensure correct installation.
  2. Limitations of numerical inputs are tested in boundary value analysis.
  3. Equivalence partitioning combines tests to reduce the overlap of functional tests that are the same.
  4. Focusing on possible mistakes by identifying the places that are most likely to encounter functional problems. And also verifying those areas more thoroughly than others.
  5. When evaluating software at the minor level, known as unit testing, the focus is on each unit's implementation rather than the system's overall performance.
  6. Testing including data transmission and permission verifies that both internal as well as external APIs are operating as intended.
  7. Then, Regression testing services are done, which is the process of running tests to ensure that updates to contemporary software do not affect its previously implemented functionality.

Example: Verifying how many people will log into software at once is an excellent example of non-functional testing. This is equally important, along with, affecting customer loyalty as functional testing does.

Functional Testing Benefits

Functional testing is crucial since it ensures that the system is prepared for use or release, is free of errors, and has many benefits.

  1. A replica of the existing system or the way the product appears in use is provided by functional testing.
  2. Functional testing doesn't operate under any system structure hypotheses.
  3. It ensures the delivery of a high-quality product created to satisfy the demands of the client and meet their standards.
  4. Also, promises to offer a product that is free of bugs. And has all the capabilities working as intended for the consumer.
  5. Last but not least, it contains risk-based testing, which is necessary to reduce the likelihood of any danger to the product.

Non-Functional Testing: What Is It?

Non-functional testing includes evaluations of a software program's performance, usability, dependability, and other non-functional features. So, it is designed to evaluate a system's readiness following non-functional standards that functional tests never address.

This testing often happens after applications have been implemented, according to the standard approach. So, too often, incomplete or non-existent monitoring is carried out or is abandoned after the loop. Also, other options include direct outsourcing when it is completed manually owing to a lack of time & automation expertise.
 

Non-Functional Testing
Non-Functional Testing

Verifying how many people will log into software at once is an excellent example of non-functional testing. As a result, it is equally important and affects customer loyalty as functional testing does.

Different Types Of Non-Functional Testing

The different types of non-functional testing are described below:

  • Availability Testing

A method for evaluating embedded systems in comparison to the current operational criteria is availability testing. So, the program's 24x7 implementation is available when needed to carry out its intended function without a hitch.

This testing is a non-functional test technique typically used to inspect and confirm the product's or website's compatibility with different items, such as web browsers, hardware systems, devices, etc.

  • Performance Testing

The performance testing strategy comprises a variety of testing methodologies to evaluate a software product's response to real-world settings. And also a standard for consistency, scalability, and dependability, along with other quality metrics. 

  • Security Testing

It must be done to confirm as well as validate the program's safety features to secure, authenticate, along with protecting sensitive information. Additionally, data is kept in or shared with the system. As a result, it includes monitoring in addition to categorizing security flaws or other pertinent vulnerabilities.

Different Types Of Non-Functional Testing Strategies

You are evaluating what the customer wants for a high-quality overall experience rather than input directed at a result. And non-functional testing might occasionally require more technical skill and ingenuity. Thus, the main non-functional testing strategies are as follows:

  1. In load testing, tests are run in a simulated environment to analyze the system's behavior under settings with a variety of user counts.
  2. Stress testing involves running an operation while having limited resources, such as when a server is having issues or when a device's hard disc is full.
  3. Scalability testing determines if a system can scale to accommodate increased demand and how performance is impacted.
  4. When performing volume testing, a large amount of data is used but not necessarily more people. However, one person could be involved in a high-volume job, such as a multiple-file upload.
  5. Security testing measures the system's susceptibility to assaults and the degree to which data is safeguarded.
  6. Disaster recovery testing evaluates how quickly a system can recover after a failure or significant issue.
  7. When a software system is tested for compliance, it is compared to all applicable standards, including those defined by a firm's requirements or those imposed by industry laws.
  8. Testing the usability of an application involves determining its overall usability and consistency of the graphical user interface (GUI).

Non-Functional Testing Benefits

Considering that teams frequently combine several types of analysis, non-functional testing is just as important as functional testing. It is easier to develop and more accurate with many benefits.

  1. The product will have enhanced levels of security.
  2. Enhances the user experience.
  3. Raises the system's efficiency.
  4. Aids in determining whether or not a new model is ready for production.
  5. Makes it possible for interested parties to compare actual performance against expectations.

Functional Testing VS Non-Functional Testing

The application's features and operations are tested to ensure they operate as intended. It also investigates additional facets of the functionality. So, an app's usability is examined during functional testing. Testing that is not functional examines how well certain functions work.

Therefore, non-functional testing is just as crucial as functional testing. Under this, all of an application's non-functional characteristics are examined, including its speed, scalability, security, dependability, and efficiency. So, this also helps in strengthening an app's defenses and shields it from certain flaws.

Without non-functional research, you won't be convinced that the application can handle a lot of traffic. So, in the worst-case scenario, the program could sputter or even crash. Thus testing that is not functional is nevertheless too important in some cases. But it provides protection and preserves the usefulness of the program.

FAQs

1. What Does Functional Testing Include?

Functional testing aims to determine if each application features functions following the specifications of the program. Thus each is compared against the relevant requirement to see if the result is consistent with the expectations of the eventual client.

2. What Are The Functional Testing Disadvantages?

According to Basics, Functional testing has drawbacks, including the potential to overlook logical flaws in programs. Along with the temptation to do duplicate testing.

3. What Are The Non-Functional Testing Disadvantages?

Due to cross-functional components and companies' lack of clarity on their demands in the majority of projects, non-functional testing can be disadvantageous.

4. Is Manual Testing Functional Or Non-Functional?

Manual testing is distinct from functional testing. It is a sort of testing that aids testers in ensuring that an application complies with the specifications for how it should operate. While non-functional testing evaluates aspects of the program that don't directly affect functionality but influence the user experience.

Conclusion

Software testing is divided into two major categories: functional and non-functional testing. While non-functional testing entails conducting an operation with restricted resources, such as when a server is down or a device's hard disc is full. But functional testing is critical since it assures that the system is ready for use or deployment, is error-free, and offers other advantages. Thus you know the difference between functional testing vs non-functional testing.

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