Understanding The Difference Between Functional and Non-Functional Testing

Table of content:

  • What is Functional Testing?
  • Functional Requirements
  • Types of functional tests
  • Characteristics of Functional Testing
  • What is Non- Functional Testing?
  • Nonfunctional Parameters
  • Types of non-functional tests
  • Characteristics of non-functional testing
  • Functional Vs. Non-Functional Testing

What is Functional Testing?

Functional Requirements

Types of functional tests

  1. Unit testing: Unit testing is a term that refers to the process before you test a complete software package, ensuring that various components function properly. The function of a unit is validated by unit testing, which ensures that the inputs (one to a few) result in the lone expected output. This form of testing lays the groundwork for more complicated integrated applications. When done properly, unit testing produces higher-quality application code and speeds up the development process. Unit tests are frequently carried out by developers using a codeless automation testing tool or automation testing methods.
  2. Component testing: It refers to testing of individual components. Component testing, also known as module testing, examines individual components of an application. Component testing, like unit testing, examines a piece of software in isolation from the rest of the system. The distinction between unit testing and component testing is that the former is performed in a white-box manner by developers to ensure that program modules run, while the latter is performed in a black-box testing method format by testers to validate specific objects or components of the product. If the component under test is dependent on other software components, the QA expert may use a stub and driver to mimic interactions between those components.
  3. Smoke testing: Smoke testing, is a sort of acceptance testing, is used to ensure that a new software build and its important functions are stable. If the smoke tests pass, the structure may go through more testing. Smoke testing, often known as build verification testing, is used to determine whether new or critical functionality meets its objectives. If the tests come back positive, If the tests fail, “where there’s smoke, there’s fire,” as the phrase goes, and further development effort is necessary.
  4. Sanity testing: Sanity testing is a sort of regression testing in which QA specialists assess new functionality or bug fixes on new versions of stable releases. While both give a gate check that a build is ready for more, smoke testing is comparable in that both provide a gate check that a build is ready for more.
  5. Sanity testing is unscripted and precisely targets the section that has undergone a code change, comparable to smoke testing in that both give a gate check that a build is ready for continued testing.
  6. Regression testing: Testing for regression. It’s important to keep in mind that just because functional tests pass once doesn’t mean they’ll pass every time. You perform regression tests when developers commit new code or update a feature to ensure the program continues to work as planned. Regression testing is beneficial as it guarantees that a product’s stability is maintained when it is being modified. It’s customary to use automated regression testing.
  7. Integration testing: Integration testing is an important part of the development process. Integration testing is frequently carried out in conjunction with unit testing. QA specialists use integration testing to ensure that separate code modules function together effectively as a group. Microservices, which are self-contained apps that are meant to accomplish a single job, are used by many current applications. These microservices must interact with one another, otherwise, the application will fail.
  8. Integrity testing ensures that these components work and communicate with one another in a smooth manner.
  9. API testing: API testing is a critical component of the development process. Application programming interfaces (APIs) link multiple programs or systems together, and they’re becoming more common as users want apps to work together. API testing verifies that API connections and answers work as expected, including how data and user rights are handled.
  10. UI testing: Testing the user interface. UI testing entails QA professionals engaging with the graphical interface of a software product. This involves testing UI components such as buttons, menus, and text input to ensure that the user experience flow and features were chosen are optimum.
  11. System testing: System testing involves QA specialists testing the program as a whole, as a complete product. Testers use this form of functional testing to ensure that the entire and integrated software product fulfills requirements. Without knowing how the software or website was created, testers can give input on its operation and performance as needed. This aids teams in creating test cases that may be utilized in the future. End-to-end testing is another term for system testing.
  12. White-box testing: White-box testing is when you test anything in a controlled environment. White-box testing occurs when the developer or tester can see the software’s internal infrastructure, code, and design. This method combines multiple forms of functional testing, such as unit, integration, and system testing. The organization examines numerous parts of the program, such as established inputs and expected outputs, as well as decision branching, loops, and statements in the code, using a white-box testing technique.
  13. Black-box testing: Black-box testing, in contrast to white-box testing, includes testing against a system where the internal code, routes, and infrastructure are hidden. As a result, testers employ this technique to check predicted outputs against specified inputs. A black box situation occurs when a QA expert does not examine the code prior to testing. The business may test the software in a black-box environment via black-box testing.
  14. Black-box testing allows an organization to evaluate software in the same way that a client would. Depending on the test’s goal, black-box testing might include a number of non-functional and functional testing methods.
  15. Acceptance testing: Acceptance testing is a term that refers to the process of Acceptance testing’s sole objective is to guarantee that the end-user can meet the business requirements’ goals.
  16. Rather than focusing on the functionality of particular features, acceptance testing investigates the feature-complete application flow and end-to-end experience. End users do their analysis of the final product during user acceptability testing (UAT) and beta testing, which are subcategories of acceptance testing. The company may then examine the input and make adjustments as a result.
  17. Alpha testing: Alpha testing is a term that refers to the process of Alpha testing as a subset of acceptance testing in which the product is evaluated by members of the internal team.
  18. These members of the team should be familiar with the project but not participate in its development or testing. Alpha testing allows an immediate subset of testers to root out serious flaws before the product is noticed by external consumers, where certain releases may still be rather unstable.
  19. Beta testing: Beta testing is the process of putting a product through its Beta testing is done with a small sample of end consumers after the internal team has tested the product and fixed any flaws. Beta testing is a kind of beta launch.
  20. Beta testing acts as a beta release, allowing you to receive input from genuine users who have never used the software before. Beta testing helps you to obtain input from unbiased consumers who may engage with the product differently than you planned, maybe finding crucial undiscovered flaws before distribution to a large user base.
  21. Production testing: Testing of the final product. When the product is released to the public, it is in a live production environment where any user may interact with it in any manner they choose — including you. Everything from the testing environment to the number of individuals utilizing the product, is no longer within your control. Continuous testing and shift-right testing, which aims to find and triage user-reported faults as rapidly as possible, include production testing. The company may test beyond the written test cases in a diversified environment by testing in production. The company can check product functioning and stability through production testing.

Characteristics of Functional Testing

  1. Visually designed loops are tests and scripts that use any programming structure in your tests; if circumstances are then, catch blocks, notes, and so on.
  2. Windows formats, Developer Express, Syncfusion, Qt, Infragistics, Telerik, MFC, and other features and methodologies are used to thoroughly test third-party control software.
  3. TestComplete provides unequaled access to core properties and application approaches for a deeper degree of functional testing.
  4. Developers must ensure that functional testing is performed on the specific code that affects them. This raises the possibility of a problem. It should be independent of the application on the one hand, and the application should check internal elements on the other.
  5. To fix this potential issue, TestComplete can gain access to the application’s internal data.

What is Non- Functional Testing?

Nonfunctional Parameters

  • Non-functional testing should be quantitative, therefore subjective terms like “good,” “better,” and “best” should be avoided. It’s doubtful that exact figures will be available at the outset of the requirement process.
  • Prioritizing the needs is critical. Ascertain that quality attributes are accurately recognized in Software Engineering.
  • The system is protected from purposeful and unexpected assaults from both internal and external sources. Security Testing is used to verify this.
  • The degree to which a software system executes the prescribed operations without fail over time is verified using Reliability Testing. In the event of a system failure, the software system continues to work and recovers and Recovery Testing is used to verify this.
  • Stability Testing verifies the degree to which a user may rely on a system when it is in use.
  • Functional Testing tests the ease with which a user may engage with a system to learn, operate, and prepare inputs and outputs.
  • Usability Testing examines the composition of the software system that may be adapted for usage in another application.
  • Interoperability Testing examines how a piece of software interacts with other pieces of software.

Types of non-functional tests

  1. Performance Testing: The functioning of software components is examined during performance testing. These tests reveal weaknesses in the architecture and design of software. This is usually accomplished by:
  2. a) Time-to-response measurements
  3. b) Locating bottlenecks
  4. c) Identifying the sources of failure software quality is ensured via performance testing.
  5. d) They confirm that it is quick, scalable, stable, and dependable.
  6. Load Testing: Load testing examines how the software performs under typical and peak loads. This is done to see how much work the program can manage without degrading performance. Load testing can be performed by running numerous apps at the same time, flooding a server with traffic, or downloading a huge number of files. Load testing is performed to guarantee that the software is quick and scalable.
  7. Stress Testing: Stress testing examines how the software performs under extreme situations. Software’s breaking point is determined by this value. It’s critical to learn what occurs when the system is stressed. Is the appropriate error message displayed? Is the system broken? How will it be able to recover? Stress testing is done to figure out what occurs when a system goes down. This assures that the program can be recovered, is stable, and is dependable.
  8. Volume Testing: When a large amount of data is introduced to the database, volume testing is used to see what happens to the system’s performance. This is done to see what difficulties can arise as data quantities increase. Flood testing is another name for it. You can run volume tests to see if there is any data loss, warning, or error messages, or if there are any other issues. Volume tests ensure that systems respond as expected to specific data volumes. This is necessary in order to maintain performance and stability.
  9. Security Testing: Security testing examines software for weaknesses that might allow data to be compromised. The purpose of security testing is to demonstrate that an attack will not occur. The following are examples of common security tests:
  10. a) Vulnerability assessments
  11. b) Scans for security
  12. c) Testing for penetration
  13. d) Assessment of the dangers
  14. e) Audits of security
  15. f) Examining your posture
  16. g) Hacking that is legal and ethical
  17. It is critical to do these tests in order to establish a safe and reliable system.
  18. Upgrade & Installation Testing: Upgrade and installation testing ensures that software will function properly on all computers. As a result, existing users are subjected to update testing. New users are also subjected to installation testing. These two types of functional testing are critical for user satisfaction.
  19. Recovery Testing: The speed with which software can recover after a crash or failure is determined via recovery testing. This is accomplished by causing the system to crash. This sort of testing is carried out to determine what occurs:
  20. a) If you unplug the hardware, it will affect the software.
  21. b) If you disconnect from the network while transferring data.
  22. c) When the system is suddenly restarted.
  23. Software performance may be improved by doing recovery tests.

Characteristics of non-functional testing

  1. Non-functional testing should help improve product’s usability, efficiency, maintainability, and portability.
  2. Reduces the risk and expense of manufacturing associated with non-functional components of the product.
  3. Optimizes installation, setup, execution, management, and monitoring of the product.
  4. Measurements and metrics are collected and produced for internal research and development.
  5. Improves and expands your understanding of product behavior and technology.

Functional Vs. Non-Functional Testing

  1. In functional testing, the requirements are defined by the user. However, there are non-functional testing, requirements are defined by software engineers, developers, software architects, and other technical professionals.
  2. In functional testing, A use case can be used to document and understand the situation. Non-functional requirements, on the other hand, can be recorded and understood as a quality characteristic.
  3. Understanding the system’s functions is a functional requirement. Non-functional requirements, on the other hand, enable us to understand the system’s performance.
  4. A need for functionality requirement is to describe the features that a system should have. Non-functional requirements, on the other hand, describe how the product should function (how it should behave).
  5. A need for functionality requirements is that it determines what the system should and should not do. However, under non-functional requirement it explains how the system should go about doing work.
  6. In functionality requirement even if the non-functional requirements are not satisfied, the system will work. On the other hand, non-functional will not allow the system to function.
  7. Functional requirement ensures that the system will suit the needs of the users. However, there is a non-functional requirement that ascertains that the product satisfies the user’s expectations.
  8. Functional requirements are critical to the system’s functionality. Non-functional requirements, on the other hand, may not always be essential.
  9. A requirement for functional testing is simple to define and agree on. However, non-functional testing is done where it is difficult to define and agree on.
  10. Need for functional testing is to meet the standards. In non-functional requirements, on the other hand, it is not necessary to meet these standards, although they may be preferable.
  11. Functional testing requires defining the system or one of its components. Non-functional requirements, on the other hand, outline system’s performance characteristics.

Summing Up

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  2. What Is Data Independence In DBMS? Understand Its Importance With Examples
  3. Importance Of Data Transformation In Data Mining
  4. Difference Between Scripting And Programming Language | Why Scripting Language Is Considered A Programming Language But Not Vice-Versa?



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