DEV Community: Revathy

Data-Driven and Keyword-Driven Testing in Selenium Python: A Comparative Analysis

Revathy — Tue, 26 Nov 2024 07:33:40 +0000

Introduction

In the realm of software testing, especially when it comes to web applications, automation is a game-changer. Selenium, a powerful tool for web automation, can be further enhanced by incorporating testing methodologies like Data-Driven Testing (DDT) and Keyword-Driven Testing (KDT).

These approaches significantly improve test efficiency, maintainability, and robustness.

Data-Driven Testing (DDT)

DDT involves separating test data from the test script itself. This allows for the execution of the same test script with different sets of data, making it ideal for testing various scenarios and edge cases.

How it works:

Data Source: Test data is stored in external files like CSV, Excel, or databases.

Test Script: The test script reads data from the source and uses it to execute test steps.

Test Execution: The script iterates over the data set, executing the same test logic with each data combination.

Advantages of DDT:

Increased Test Coverage: By using multiple data sets, you can test a wider range of scenarios.

Reduced Test Maintenance: Changes to test data can be made without modifying the test script.

Improved Test Efficiency: Test cases can be executed quickly with different data sets.

Keyword-Driven Testing (KDT)

KDT separates test logic from test data, storing test steps and data in a table or spreadsheet. This approach promotes reusability and makes test cases more maintainable.

How it works:

Keyword Repository: A repository stores keywords (actions) and their corresponding functions.

Test Data: Test data, including keywords and their parameters, is stored in a separate file.

Test Execution: The test script reads the test data, identifies keywords, and executes the corresponding functions.

Advantages of KDT:

Improved Test Maintainability: Changes to test cases can be made by modifying the test data without changing the script.
Increased Test Reusability: Keywords can be reused across multiple test cases.

Enhanced Test Flexibility: New test cases can be created by combining existing keywords.

Choosing the Right Approach

The choice between DDT and KDT depends on the specific testing requirements:

DDT is well-suited for scenarios where you need to test the same functionality with different data sets, such as validating input fields with various data types.

KDT is ideal for complex test scenarios that involve multiple steps and require high levels of reusability.

Combining Both Approaches
In many cases, combining DDT and KDT can yield even more powerful and flexible testing solutions. For example, you can use DDT to provide data for KDT keywords, allowing for dynamic test execution based on different data sets.

Conclusion

By effectively utilizing Data-Driven and Keyword-Driven Testing methodologies in conjunction with Selenium Python, you can significantly enhance the quality, efficiency, and maintainability of your web application testing efforts. By understanding the strengths and weaknesses of each approach, you can make informed decisions about which one to use for your specific testing needs.

Pytest: A Powerful Python Testing Framework

Revathy — Tue, 26 Nov 2024 07:25:05 +0000

Pytest is a popular Python testing framework that has gained significant traction among developers due to its simplicity, flexibility, and extensive plugin ecosystem.

It offers a streamlined approach to writing and executing tests, making it a valuable tool for both beginners and experienced Python developers.

Key Features of Pytest:

Simple Test Discovery: Pytest automatically discovers test functions and classes, eliminating the need for explicit configuration.

Flexible Test Organization: You can organize tests into directories and modules, making it easy to manage large test suites.

Parametrization: Pytest allows you to parameterize tests, enabling you to test multiple input values and expected outputs with a single test function.

Fixtures: Fixtures are reusable functions that set up and tear down test environments, promoting code reusability and reducing test setup time.

Plugin Ecosystem: Pytest's rich plugin ecosystem extends its capabilities, offering support for various testing scenarios, such as mocking, coverage analysis, and reporting.

Clear and Concise Syntax: Pytest's syntax is intuitive and easy to learn, making it accessible to developers of all levels.
Getting Started with Pytest:

Installation: Install Pytest using pip:

pip install pytest

Best Practices for Effective Pytest Usage:

Write Clear and Concise Tests: Use descriptive test names and clear assertions to improve test readability.

Leverage Fixtures: Use fixtures to set up and tear down test environments efficiently.

Utilize Parametrization: Parameterize tests to cover multiple scenarios with minimal code duplication.

Organize Tests Effectively: Structure tests into logical directories and modules.

Use Plugins Strategically: Choose plugins that enhance your testing process without adding unnecessary complexity.

Write Comprehensive Test Suites: Aim for high test coverage to ensure code quality.

By following these best practices and leveraging Pytest's powerful features, you can create robust and efficient test suites that help you deliver high-quality Python applications.

Significance of python virtual environment

Revathy — Sun, 07 Jul 2024 12:06:26 +0000

** Selenium for automation-Python virtual environments: **

Testing is a vital part of the development cycle and is essential for ensuring the quality and stability of your applications.

By performing application testing, we can find and fix bugs in our code before they have a chance to cause problems for our side users.

Additionally, application testing can help us to verify that our application is working correctly on different browsers and operating systems.

Testing is performed in several ways, including manual, automated, and performance testing.
Automated testing is a popular approach for performing application testing, as it enables us to test your applications quickly and efficiently.

Selenium Testing is a popular tool for automated testing, as it allows us to write tests in various programming languages and run them on many different browsers and operating systems.

Python virtual environments are a crucial tool for developers as they offer a way to isolate project-specific dependencies. Here's why they are so significant:

Dependency Isolation:

Different projects often require different libraries and versions of those libraries. Virtual environments ensure each project has its own set of dependencies, preventing conflicts that can arise when multiple projects share the same system-wide Python installation.

Reproducible Results:

With a virtual environment, you can be confident that your code will run consistently with the exact versions of libraries it was designed for. This is essential for sharing code with others and ensuring they can replicate your results.

Project Management:

Virtual environments promote better project organization. Each project has its own isolated environment, keeping its dependencies separate and preventing them from affecting other projects on your system.

Safer Development:

Experimenting with new libraries or updating existing ones within a virtual environment safeguards your system-wide Python installation. If something goes wrong within the virtual environment, it won't affect your other projects or system setup.

Collaboration:

When working with others on a project, virtual environments ensure everyone uses the same set of libraries and versions. This eliminates compatibility issues and streamlines collaboration.

In essence, Python virtual environments provide a clean and controlled environment for each project, promoting better organization, preventing dependency conflicts, and ensuring reproducible results. They are an essential tool for any Python developer working on multiple projects.

Benefits of Selenium Testing:

Efficient and accurate web application testing.
The ability to test our web application on multiple browsers and operating systems.

The ability to run more than one test at the same time.
You can significantly reduce our time to test your web application with a selenium grid.
And by using a selenium grid, you can ensure that our web application is fully functional before releasing it to users.

Therefore, if we want to improve your web application testing, consider using the selenium grid. It's one of the best ways to automate our web application testing.

The important things to keep in mind while writing Selenium tests.

The goal of selenium test is to find the bugs in our web application.

your selenium test should be concise.
You should only use the selenium web driver when we are sure about how to use the tools and scripts
Once we are done with our selenium test script, we can run them on different browsers and operating systems. To do this, we will need to use a selenium grid.

A selenium grid is a server that enables us to run multiple selenium tests simultaneously on different browsers and operating systems.

Advantages of Selenium Automation Testing

Language Agnostic:

Selenium WebDriver offers native bindings for JavaScript, Python, Java, C#, and Ruby, eliminating the need to learn a new programming language solely for testing.

While Selenium has its syntax, having proficiency in one of these languages proves beneficial.

Cross-Browser Compatibility:

Selenium communicates with browsers through drivers and is adaptable to different browser versions. With the appropriate driver, Selenium seamlessly supports significant browsers like Chrome, Firefox, Safari, Edge, and Opera.

Cross-Platform Compatibility:

Extending its versatility, Selenium is cross-platform compatible, allowing test creation on one platform and execution on another. It effortlessly functions across Windows, Mac OS, and various Linux distributions.

Community Support:

As an open-source tool with a substantial history, Selenium boasts a strong community. This support extends beyond regular updates and upgrades to encompass comprehensive documentation and a wealth of learning resources.

Integrations with Third Parties:

Selenium excels in integrations, providing the flexibility to extend functionality through third-party plugins. Users can leverage existing plugins or create custom ones to enhance Selenium's capabilities.

Parallel Test Execution:

Selenium supports parallel test execution across multiple machines, facilitated by Selenium Grid. This feature enables users to conduct tests simultaneously on various browsers and platforms, centralizing the management of browser configurations.

   Although Selenium is one of the best tools for automating your tests on multiple devices, it still has limitations.

Some of them are mentioned below:

WebDriver cannot interact with flash or Java applets.
WebDriver is not capable of handling complex animations.
WebDriver cannot recognize text inside images.
WebDriver has some difficulty dealing with dynamically generated pages.
WebDriver can be difficult to use when testing web applications that use Ajax or ReactJS.

PYTHON SELENIUM ARCHITECTURE

Revathy — Sun, 07 Jul 2024 11:42:47 +0000

Selenium with Python architecture has multiple components works together to automate browser interactions with web browsers. Selenium is an open-source framework designed for the automation testing for web applications. It is a flexible testing tool that allows the automation tester to write testing scripts in Selenium tool and in various programming languages such as Python, Java, etc.,

Selenium WebDriver 4 Architecture
Components:

Test Script:

It is the code we write to automate tasks in a web browser. we can write this code in different programming languages like Python, Java, or C#.

WebDriver Client Library:

This is a set of tools that help our test script talk to the web browser. Like a translator that helps our code give instructions to the browser.

WebDriver Protocol (W3C Standard):

This is the new standard way for our test script to communicate with the web browser. It ensures that no matter which browser we use, the instructions are understood in the same way. It's like a universal language that all browsers can understand.

Browser Drivers:

These are special programs that act as middlemen between our test script and the web browser. Each browser (like Chrome, Firefox, or Edge) has its own driver (like ChromeDriver, GeckoDriver, or EdgeDriver). These drivers translate the universal language (W3C WebDriver Protocol) into specific actions that the browser can perform.

Web Browser:

This is where the actual automation happens. The browser (like Chrome, Firefox, etc.) receives instructions from its driver and performs actions like clicking buttons, entering text, and navigating pages.

How It Works with python:
Python Test Script:

we write a test script using a python and the WebDriver client library. For example, we might write a script to open a browser, go to a website, and click a button.

Send Instructions:

When we run your script, the WebDriver client library takes your instructions and converts them into the universal language (W3C WebDriver Protocol).

Talk to the Browser Driver:

The WebDriver client library sends these instructions to the appropriate browser driver (like Chrome Driver for Chrome).

Driver Translates Instructions:

The browser driver receives the instructions and translates them into specific actions that the browser can understand. It's like a coach giving directions to a player.

Browser Executes Actions:

The browser performs the actions as instructed by the driver. For example, it might open a new page, fill out a form, or click a link.

Send Back Responses:

After performing the actions, the browser sends back information (like the page title or the result of an action) to the driver.

Driver Sends Responses Back to Script:

The browser driver then sends this information back to the WebDriver client library, which in turn passes it to your test script.

Test Script Continues or Finishes:

Your test script processes the information, performs any necessary checks or assertions (to verify that everything worked as expected), and then continues or finishes the test.

Reason we choose Selenium 4:

Full W3C Compliance:

Selenium 4 fully adopted the W3C WebDriver standard, which means it works more consistently across different browsers.

Better Tools Integration:

It introduced support for Chrome DevTools Protocol (CDP), allowing advanced debugging, performance analysis, and better control over browser features.

Relative Locators:

New feature to locate elements relative to other elements, making test scripts easier to write and understand.

Full Page Screenshots:

Capability to capture screenshots of the entire web page, not just the visible part.

Improved Grid:

Selenium Grid in Selenium 4 is easier to set up and manage, with better scalability and a more user-friendly interface.

Limitations Addressed in Selenium 4:

Debugging and Profiling:

Selenium 4's integration with Chrome DevTools provides advanced debugging and performance profiling tools.

Modern Web Support:

Better handling of modern web technologies and features.

Simpler and Scalable Grid:

Enhanced Selenium Grid with easier configuration and management.

Selenium for automation

Revathy — Thu, 27 Jun 2024 04:44:06 +0000

___ Selenium :__
Selenium is an opensource project so many people work together to bring up that project. It can automate a browser, the way we automate is in our hands.

For example, for a Facebook application to upload a profile picture everyday whenever we login and share it. This can be achieved by selenium automation, but we cannot use selenium outside the browser everything has to be done on browser itself.

It is functional for all browsers, works on all major OS and its scripts are written in various languages like Python, Java, C#, etc., Selenium is combination of tools and DSL (Domain Specific Language) in order to carry out various types of tests.

With Selenium Python, we can write robust test scripts to automate the testing of web applications, ensuring their functionality across different browsers and platforms.

The Selenium server runs tests on various browsers, it can Google Chrome, Internet Explorer, Mozilla, Firefox, or Safari.

Developers and testers can even run tests in parallel on multiple combinations, helping them to ship quality builds at light speed.

The Selenium test scripts can be integrated with tools such as TestNG and JUnit for managing test cases and generating reports.

It can also be integrated with Maven, Jenkins, and Docker to achieve continuous testing.

Advantages:

Faster execution
More accurate
Lesser investment in human effort
Supports regression testing
Frequent execution
Supports Lights out Execution

Versions of selenium:

Selenium 1: Selenium core with java script injection
Selenium 2: selenium with web driver and RC
Selenium 3: Selenium web driver and updated components
Selenium 4: Selenium with W3c protocol, web drivers and
other updated components

*Components of selenium *

WebDriver:

On beginning with desktop website or mobile website test automation, then we are going to be using WebDriver APIs. WebDriver uses browser automation APIs provided by browser vendors to control the browser and run tests.

This is as if a real user is operating the browser. Since WebDriver does not require its API to be compiled with application code, it is not intrusive. Hence, testing the same application which we push live.

IDE:
IDE (Integrated Development Environment) is the tool you use to develop your Selenium test cases. It’s an easy-to-use Chrome and Firefox extension and is generally the most efficient way to develop test cases.

It records the users’ actions in the browser for you, using existing Selenium commands, with parameters defined by the context of that element.

RC:
RC is the remote control in which the server has to run before starting the automation process, it has thrown many disadvantages to later it was deprecated in later versions of selenium.

Grid:
Selenium Grid allows us to run test cases in different machines across different platforms. The control of triggering the test cases is on the local end, and when the test cases are triggered, they are automatically executed by the remote end.

After the development of the WebDriver tests, we may face the need to run your tests on multiple browsers and operating system combinations.

This is where Grid comes into the picture. It is not always advantageous to automate test cases:

    There are times when manual testing may be more appropriate. For instance, if the application’s user interface will change considerably in the near future, then any automation might need to be rewritten anyway. 


   Also, sometimes there simply is not enough time to build test automation. For the short term, manual testing may be more effective. 

     If an application has a very tight deadline, there is currently no test automation available, then manual testing is the best solution.

Functional testing is challenging to get right for many reasons. As if application state, complexity, and dependencies do not make testing difficult enough, dealing with browsers makes writing good tests a challenge.

Selenium provides tools to make functional user interaction easier but does not help us write well-architected test suites.

 Functional end-user tests such as Selenium tests are expensive to run, however. Further, they typically require substantial infrastructure to be in place to be run effectively.

A distinct advantage of Selenium tests is their inherent ability to test all components of the application, from backend to frontend.

Those tests can be expensive to run. To what extent depends on the browser you are running the tests against, but historically browsers’ behavior has varied so much that it has often been a stated goal to cross-test against multiple browsers.

 It allows us to run the same instructions against multiple browsers on multiple operating systems, but the enumeration of all the possible browsers, their different versions, and the many operating systems they run on will quickly become a non-trivial undertaking.

MANUAL TESTING

Revathy — Sun, 28 Apr 2024 11:38:47 +0000

Manual testing is one of the first and foremost test where tester directly interact with the application and generate the result without any testing tool hence it can be done by the developers too.

Initially the requirements are gathered from the client
Prepare the test plan and test cases
Execute the test cases and report the bugs.
Send the report to the developers
Once bug is resolved close the report

ITS BENIFITS

 1. Tester can do this test because it doesn't require any testing tool and hence cost effective for example: short term scenarios like exploratory testing, usage testing and Ad hock testing.

 2.Testing can be done live and tracked for example: Mobile applications where automation can't do it.

 3.Less programming knowledge is required since understanding the testcases, documenting the test cases.

 4.Helps to identify the look and feel of the application, we can't get that in autonomation.

ITS DISADVANTAGES:

1.Even for small change the tester has to test from the beginning, so it is time consuming.

2.High possibility of errors since it is done by humans.

3. Not good for load and performance testing.

4. More time investment for testing, documentation work in case of huge applications.

FUNCTIONAL AND NON-FUNCTIONAL TESTING

Revathy — Sat, 27 Apr 2024 11:50:39 +0000

FUNCTIONAL TESTING:

 Testing a product functionality is to test whether the work of that functionality if finished as required and we don't check how fast the work is finished and how economically work is done only we concentrate on its behaviour check.

FOR EXAMPLE:
we are purchasing any vehicle, we will check for its general functions like its Headlights are switching from gold light to white light when its switches are ON and OFF mode, indicators working properly.

whether brakes are operating properly, stand is working good, accelerators are fixed good enough, its speedometers etc.

If we check its milage per litre of fuel, then it comes under non-functional testing.

NON-FUNCTIONAL TESTING:

In non-functional testing we check its performance that is the, whatever functionality it might be. How time saving and how cost-effective will be our checking perspective.

FOR EXAMPLE:
Two coders, coder A and coder B having a program of their own creation each for a same functionality, both getting same data from the user and giving same output as user required.

But coder A's code is giving output in 2 minutes aft running the code whereas coder B's code is fetching output in 1 minute, so it is clear that code of coder B is time saving and hence cost effective as it has less lines of codes to execute compared to other. In this case non-functional testing technique has taken place to identify best code.

In other cases, like public use websites, we check its behaviour in certain conditions as how fast it is loading each page when more users try to use that web page at a time, and it fits in all kinds of browsers.

TESTING TECHNIQUES

Revathy — Sun, 21 Apr 2024 12:30:04 +0000

BOUNDARY VALUE ANALYSIS:
It is a testing technique in which the input parameters of the software are tested. From the word boundaries we know that it deals with certain range of input parameters such that it has certain limitations.

Boundary value analysis has three varieties of giving test case analysis.

ON BOUNDARY ANALYSIS:

Giving exactly the valuable input, which is applicable, for example age limit of amusement park entry is between 18 to 40, in this case we can test the software by entering,

any age within the limits (18-40) or (maximum limit -1) or (minimum limit+1) or exactly 18 or 40

This valid input testing is on boundary analysis.

OVERFLOW ANALYSIS:

 Giving more than the limit is said to be overflow test case, for example in that same textbox from above example we try to give

41 or 42 (maximum limit +1 or maximum limit +2)

and checking whether the error message is shown to the user or not, is said to be overflow analysis.

UNDERFLOW ANALYSIS:

On giving data less than the actual limit,

giving 17 or 16 (minimum limit-1 or minimum limit-2)

that is said to be underflow testcase in such cases error message to be displayed to the user.

2.DECISION TABLE TESTING:

It is the testing in which a variety of conditions and their interrelationships are checked.

 For example, username field and passcode field will have different combinations once a user has entered wrong id and wrong passcode or any one of this field is correct and another one is wrong in that cases the user is unable to login because of wrong combinations.

only the user can login if the combination is exact match.

3.USE CASE TESTING

Use case design is simple procedure comes under functional testing it defines the actions done by the user on the software and how the software responses to user for every click or input given from start to end of the entire process.

For example, ATM machine it starts with card insertion into the machine aft identifying the account holder asks for service that is required then according to it gets the data and process it once user gives the PIN number, such that from starting to ending the flow is checked in use case testing.

4.LCSAJ TESTING:

The expansion of LCSAJ is Linear Code Sequence and Jump it is a white box technique testing methodology it is also called as code coverage analysis where we can find which part of code is executed with given test case and we can design new test cases to make the remaining code to be executed with other possible prospectives.

   Also checking the software starts at exact starting of code or at any branch also ends at end of the code or at branch. And which is essential for identifying potential defects and vulnerabilities in the code.

SOFTWARE TESTING AND ITS RELEVANCE

Revathy — Sun, 21 Apr 2024 07:40:00 +0000

*****software testing introduction*

  software testing is a phase after the software development where we make sure that the product delivered is working as per the requirements also bug free, and it can be done in two ways -

Manual testing,
Automation testing.

we should be aware of characteristics of software testing such as the software is reliable to the user, practical and capable of finding bugs.

In terms of testing all the screens should be properly navigated also all the functionalities of each field should be validated and working fine.

we should know when we should start and stop software testing phase. Once software is delivered, we cannot subject it for testing phase.

Testing phase starts with test case design, in which test case to written for both positive and negative test cases.

Once bugs are reported to the development team, they will fix the bug and send back to us for retesting in that case our work is to check for that reported bug is rectified and that specific rectification does not reflect any changes in other modules of the application, for which we have to perform regression testing it is a testing process in which testing happens in a form of iteration.

In which each and every module to be tested to ensure that new rectification has not made any change in other functionalities of software.

software testing and its relevance

Testing is most important phase of software development because any bugs left uncaptured/unresolved it may cause big issue at the user side from business perspective.

For example, polling machine to be tested before the election phase for its functions like button clicks, data storage at the back end, loopholes associated with it, generation of voting receipt etc. Any single functionality of this cycle got bug it cause serious issue on the election department side so it's very important to make sure software is cent percent bug free.