Functional Testing On Flutter
Hi everyone! today we started learning about functional testing on Flutter, Functional testing is a type of testing that seeks to establish whether each application feature works as per the software requirements. Each function is compared to the corresponding requirement to ascertain whether its output is consistent with the end user’s expectations.
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Table Of Contents::
What are the Types of Functional Testing?
What are the Benefits of Functional Testing in Flutter?
How Functional Testing Works in Flutter?
Why does Functional Testing Matter in Flutter?
Process of Functional Testing in a Flutter
Functional Testing Use Case Examples
What is Functional Testing?:
Software testing executes a program or application to check whether the actual results match the expected results and to assure that the software system is Bug- free. It can be either done manually or using automated tools. Software testing is classified into two categories –
- Functional Testing
- Non — Functional Testing
- > Functional Testing reviews each part of a piece of programming to ensure that it works accurately. Functional testing confirms that a system ought to proceed true to form when its elements are practiced by another system or straight by a client.
- > Non-Functional Testing is the testing of a software application or framework for its non-functional requirements: how a system works, as opposed to explicit ways of behaving of that system.
What are the Types of Functional Testing?:
The common types of Functional testing are defined below:
> Unit Testing:
Unit testing ought to begin at the earliest reference point to guarantee that each block of code/unit plays out its planned control of contributions to wanted yields for the following module. Tests a singular unit/part of programming to approve that every unit of the product proceeds as planned.
> Integration Testing:
Takes numerous singular units/parts of the product and tests them collectively to guarantee that the unit modules interface true to form and convey information and orders all through the system per the details constructed.
> Smoke Testing:
Smoke testing is a subset of experiments that tests the major/basic functionalities of programming in a non-far reaching way to guarantee the product does what is needed to continue toward extra tests. Execute before any nitty-gritty utilitarian test or relapse tests are performed on the product construct.
> Sanity Testing:
In the wake of getting a product construct check that minor changes and fixes applied to the code body don’t have unforeseen secondary effects in, evidently, separate pieces of the framework and affirm that the bugs have been fixed. Assuming sanity tests fail, the form will be dismissed to save the time and costs associated with more thorough testing.
> Regression Testing:
Confirm that the later component increases and bug fixes(due to which code changes) do not unfavorably influence existing highlights. Regression Testing is only the full or halfway choice of currently executed experiments that are re-executed to guarantee existing functionalities turn out great.
> User Acceptance Testing:
This is the last step before software goes live, client acknowledgment tests ensure it can deal with required assignments in Real-World situations, as per determinations. End clients normally play out these tests during the Beta testing time frame.
What are the Benefits of Functional Testing in Flutter?:
Functional Testing has the following Benefits –
- It ensures that the customer or end-user is satisfied.
- It produces a defect-free product/software.
- It ensures that all the requirements should be met.
- It ensures the proper working of all the functionalities of an application/software/product.
- It ensures that the software/product works as expected.
- It ensures security and safety.
- It improves the quality of the product.
- The risks and losses associated with the product/software are reduced.
How Functional Testing Works in Flutter?:
When conducting functional tests, you should typically need to follow a process that looks something like this :
- Use test data to identify the inputs.
- Determine the expected outcome based on those inputs.
- Run test cases with the proper inputs.
- Compare actual results with expected results.
Following this method, if the actual results and the expected results will match, then conclude that the software functions correctly and that the test has passed. If they do not match, then there is an issue with the software.
Two Perspectives:-
- > Requirements– Centered testing, focusing on necessities given risk criteria to assess the most basic elements and capacities first.
- > Business — Process-centered testing, which depends on the information on end-client business necessities to assess application execution regarding use cases.
Why does Functional Testing Matter in Flutter?:
It can be easy to excuse programming testing as undesirable speculation of time and money. However, for such countless associations, one little bug spiraled out of control. Humiliating programming errors in the item could make a brand become a web sensation however in an incorrect manner. No necessity for the meaning appropriate programming testing methods in the most difficult way possible.
Process of Functional Testing in a Flutter:
This testing process has three main steps:
Functional testing creates a result of the given data sources and decides whether the system is working accurately according to the details.
Entry/Exit Criteria:
> Entry Criteria:
- The Requirement Specification document is defined and approved.
- Test Cases have been prepared.
- Test data has been created.
- The environment for testing is ready, and all the tools that are required are available and ready.
- Complete or partial Application is developed and unit tested and is ready for testing.
> Exit Criteria:
- Execution of all the functional test cases has been completed.
- Reported bugs have been acknowledged.
Steps Involved:
The various steps involved in this testing are mentioned below:
- The very first step involved is to determine the functionality of the product that needs to be tested and it includes testing the main functionalities, error conditions, messages, usability testing i.e. whether the product is user-friendly or not, etc.
- The next step is to create the input data for the functionality to be tested as per the requirement specification.
- Later, from the requirement specification, the output is determined for the functionality under test.
- Prepared test cases are executed.
- Actual output i.e. the output after executing the test case and expected output (determined from requirement specification) are compared to find whether the functionality is working as expected or not.
Approach:
Different kinds of scenarios can be thought of and authored in the form of “test cases”. As QA Analysts, we all know how the skeleton of a test case looks.
It mostly has four parts to it:
- Test summary
- Pre-requisites
- Test Steps and
- Expected results.
Attempting to create each sort of test isn’t just incomprehensible yet also time-consuming and costly.
Typically, we would need to uncover the greatest bugs with next to no ways out with existing tests. Therefore, the QA needs to utilize advancement procedures and plan how they would move toward the testing.
Functional Testing Use Case Examples:
Take an online HRMS portal where the employee logs in with his user account and password. On the login page, there are two text fields for the username & password, and two buttons: Log in and Cancel. Successful login takes the user to the HRMS home page and cancel will cancel the login.
Specifications are as shown below:
#1 ) The user-id field takes a minimum of 6 characters, a maximum of 10 characters, numbers(0–9), letters(a-z, A-z), special characters (only underscore, period, hyphen allowed) and it cannot be left blank. User id must begin with a character or a number and not special characters.
#2) Password field takes a minimum of 6 characters, a maximum of 8 characters, numbers (0–9), letters (a-z, A-Z), and special characters (all), and cannot be blank.
The basic approach to testing this scenario can be classified into two categories:
- > Positive testing
- >Negative testing
> Positive tests are blissful tests that are done to guarantee that the item meets the fundamental prerequisites that are indispensable to client use.
> Negative scenarios guarantee that the item acts appropriately in any event when it is subjected to unexpected data.
Conclusion:
This tutorial has exhaustively examined all you want to be aware of functional testing, right from the basics.
Functional testing is one of the significant testing processes as it confirms the usefulness of an item that is the most required and without a doubt the significant part of any item or application.
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