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Functional Testing is a popular type of testing that verifies different functions of a software application that operates in conformance with requirements specification. It is majorly based on the black box testing technique, and it does not focus on the source code of the application. The different functionalities of a system are tested by providing appropriate inputs, verifying the outputs and then comparing the actual results with the expected outcomes.
This testing majorly involves User Interface, APIs, databases, security controls, client/server application functionality of an application under test. Functional Testing is performed either manually or can be automated.
The major objective of Functional Testing is to check the functionalities of a software system. It majorly focuses on the following areas:
There must be something to verify the acceptable behavior of an application. Functional Testing is a document that defines what is permitted by the user, and what is not. Sometimes, it entails the actual business scenarios to be validated. Functional testing is usually performed in two common steps:
Testing and quality are major parts of the SDLC process, and we should be aware of all type of testing even if we are not directly involved with the testing regularly. The scope of testing is wider like an ocean, and a team of quality testers is required to give the right direction to an application.
To check the functionality of a software application, the following steps should be followed:
Functional Testing can be divided into multiple categories based on the scenario, and most popular ones are discussed below.
Unit testing is performed by a developer to check different units of code that are either related or non-related to achieve a particular functionality. The process starts with writing unit test cases that would call methods in each unit and validate them when the required parameters are passed and returns the value as expected. Code coverage is an important functionality of unit testing where test cases should cover the following:
Testing that makes sure that all major components of a software application are working perfectly is termed as sanity testing. It is usually performed after a smoke test.
Testing that is done once and the complete build is released to ensure the stability is called the smoke testing. The other name for smoke testing is to build verification testing.
The regression testing is done to make sure that new code, enhancements, and bug fixes will not break the existing functionality of an application. For this purpose, you should write the test cases to check the functional ability of an application and make sure that it is stable.
When we integrate multiple modules that are working great independently but not able to coordinate well when integrated together, this validation is termed as the integration testing. The integration testing is useful when you want to check all modules together how they communicate with each other. If there are any issues, they can be resolved immediately.
When the product is exposed to customers in a production like an environment, and they test the product on different parameters in terms of usability, it is called the Beta testing. It is common these days if you need genuine feedback for the product. It is similar to the User Acceptance testing in most of the parameters.
You may understand different types of functional testing with the help of this flow chart.
System testing is done on the whole system to make sure it is working as expected when all components are integrated and tested.
It is performed to verify the functionality of a product when you are done with the system testing. It focuses on functional and non-functional requirements.
There are different approaches used for writing functional test cases in software engineering. Here is the skeleton of a test case how it should look like. A skeleton majorly consists of four parts, test summary, prerequisites, test steps, and expected results.
Approaching each test case by the programmer is time-consuming and impossible as well. Therefore, the QA team helps to strategize and optimize techniques on how to approach the testing. Let us understand the concept of Functional Testing with the help of an example.
Consider an online HRMS portal system where employees login with user account ID and password. There are two text fields where you have to add the credentials and two buttons, Login, and Cancel. If credentials are verified, it will take you to the HRMS login page, if credentials are not right then it will show some error.
There are special conditions for creating a User ID and the password. These two text fields are mandatory and should not be left blank. You cannot use special characters for user ID but allows adding special characters in Passwords. Programmers set these instructions and then they are validated by the testers using different Login attempts. The basic approach to test this scenario is divided into two broad categories:
Of course, each of the categories has its own subsections that should be carried out one by one. Positive testing means happy paths that are followed to test the basic requirements of a product that is vital to customer usage.
Negative Testing ensures that the product behaves properly when it is exposed to unexpected data. Let us understand the structure of Functional Testing using a flow chart below.
A system can have different components that are coupled together to achieve the user scenario. In this example, the customer scenario includes tasks like HRMS application loading, data validation, credentials verification, home page navigation, performing actions, and logging out of the system. This workflow should work without errors in the business scenario. A few practical examples are given below.
|S. No.||Test Case Summary||Pre-requisites||Test Case Data||Expected outcomes|
|1||A valid user with full privileges||● The user account should exist ● User should have full privileges||● The user adds account credentials. ● User has the permission to modify account himself. ● He will make the changes and saves them. ● He logs out from the account.||● User is logged to the home page. ● An edit screen appears to make changes. ● Save the account details. ● User is redirected to the Login Page|
|2||Another valid user without full privileges||● The user account should exist ● User should have limited privileges||● The user adds account credentials. ● User has the permission to modify selected fields of an account. ● He will make the changes to selected fields and saves them. ● He logs out from the account.||● User is logged to the home page. ● An edit screen appears to make changes to selected fields. ● Save the account details. ● User is redirected to the Login Page|
This is the basic example to make your ground skills stronger. So, we have used basic tests here.
In this type of testing, data is segregated into multiple partitions called equivalence data classes. Data for each partition should behave the same way, and only one condition should be tested here. If one particular condition does not work, then no condition will work further.
It applies data limits to an application and validates how it behaves. First, you should apply input values beyond boundary values, and it is considered a part of negative testing. You should know how to set the boundary limits and write test cases for boundary value analysis.
These tests are centered around the ideology for possible outcomes from the system when a particular condition is met. For the given example, the following decision-based test cases can be derived immediately:
Alternate path tests are written to validate all possible ways that exist other than the main flow to accomplish one function.
When most of the bugs are identified and tested through the above techniques, ad-hoc tests are an excellent choice to uncover necessary discrepancies observed earlier. These tests are performed to check either system behaves gracefully or not. For the given example, a sample test case can be driven as below.
A user trying to log in but admin deleted the account when performing operations; it would be interesting knowing how to handle this issue gracefully.
The automated testing reduces the overall efforts, time, bug slippage, etc. and the efficiency is increased. However, everything cannot be automated, and you have to workout on test cases that you want to automate. For this purpose, you should find the right set of test cases that can be automated with functional testing tools.
Automating functional cases have drawbacks as well when several test cases are regressed again, and again then the developer may face issues in committing changes to the code. Many times, the most potential bugs are escaped because of lack of test coverage in a particular function. The automated functional testing may fail because of several reasons like a tester, environment, delivery of wrong functions, time constraints, etc.
When a dedicated team of experts works on each test cycle, defects may get missed. The best idea is automating the test cycle and realize a significant improvement in the efficiency of the test process and the test cases coverage. Automation is a replacement of manual efforts. Still, a mix of two always helps in adding the desired quality to software projects.
What are the Automation Considerations?
How to choose test cases?
Always choose the right set of test cases to automate functional testing. If there are some test cases that require setup or configurations during test execution, then these should not be automated by programmers or testers. Therefore, you may automate tests in the following conditions:
Automation is generally imposed on the QA team, and there is no dedicated staff for this purpose in most organizations. Every member has a different experience, skills level, interest levels, and bandwidth to support the automation. Few are good at manual testing while others may good at automated test cases.
In this situation, it is always good to pick members with the right skills and knowledge in automation. Dedicated team for automation testing has mixed knowledge generally, and they are comfortable in writing test cases manually as well.
This tutorial has comprehensively discussed everything that you need to know about functional testing, right from the basics. Functional testing is one of the important testing aspects that verifies the functionality of a product and focuses on the most important aspects of an application.
To know more on Functional Testing and how to perform it practically, you may join the QA certification course now and expand your current testing skills and knowledge base.
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