Monika Singhal’s Post

🧑💻 Developers and quality managers: Do you want to develop, automate, and test your own extensions for flexyPage® displays? We have good news for you: With flexyPage displays, the range of functions can be individually extended with plug-ins. With the updated flexyPage® display API, plug-ins can now be easily and quickly installed via an additional interface. ✔️ The API for command-line-based control of the plug-ins is available as an HTTP API. This API provides functions for automated testing and continuous integration of plug-ins. 💻 With the new capabilities of the flexyPage® display API, plug-ins can be managed, activated, deactivated, installed, and uninstalled. 📸 Additionally, screenshots can be requested to visually monitor the current display on the screen and, therefore, the effect of a plug-in. 🔒 The plug-in implementation, and thus the flexyPage® display, is protected by an API key authentication mechanism. The same credentials used for logging into the editor are used for authentication, which follows the OAuth Password Grant schema. Learn more about the flexyPage® display API: https://lnkd.in/eB948VCE

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#What_Are_Reusable_Test_Automation_Frameworks_Why_Do_They_Matter? A reusable test automation framework is a structured approach to writing test scripts in a way that they can be reused across multiple tests or projects while doing automation testing. It helps simplify your testing efforts while improving efficiency, accuracy, and scalability. #Why_Should_You_Use_Them? #Avoid_Duplication: Instead of writing the same logic repeatedly, reusable frameworks let you define common operations (like login functionality or form submissions) once and reuse them. For instance, using the Page Object Model (POM) in Selenium organizes code by separating UI elements from the test scripts, making tests more readable and reusable and easy to understand. #Ease_of_Maintenance: If a change happens in the application (like a button’s label changes), you only need to update the logic in one place within the framework. This saves time compared to updating every individual test script. #Scalability: As your application grows, reusable frameworks make it easier to add new tests. For example, a data-driven framework allows you to test multiple scenarios by reading inputs from external files like Excel sheets or databases. #Consistency: With a framework, you standardize how tests are written and executed, reducing errors and improving collaboration across the team. #Real_Life_Application Imagine you’re testing an e-commerce website: You write a module to handle login functionality. This module can then be reused across tests for searching, adding items to the cart, or checking out. By reusing this login module, you save time, ensure consistency, make it more simple to understand and reduce the chances of errors. #Conclusion Reusable test automation frameworks are the backbone of efficient testing. They make your automation efforts faster, easier to maintain, and ready to scale as your project grows. How are you simplifying your test automation workflows? Let’s discuss! #AutomationTesting #TestAutomation #QualityAssurance #SeleniumTesting #SoftwareTesting #ScalableTesting #PageObjectModel #ReusableFrameworks #TechLeadership

"Gargantuan release! Kudos to the team. E-Signatures are transforming business, and now with Document Management for mark-ups and signatures, Trisk's Conversational Process Automation eliminates costly, single-purpose tools. Great strides in simplification!"

🚀 𝗕𝗼𝗼𝘀𝘁 𝗬𝗼𝘂𝗿 .𝗡𝗘𝗧 𝗣𝗲𝗿𝗳𝗼𝗿𝗺𝗮𝗻𝗰𝗲 𝗠𝗼𝗻𝗶𝘁𝗼𝗿𝗶𝗻𝗴 𝘄𝗶𝘁𝗵 𝗠𝗲𝘁𝗵𝗼𝗱𝗧𝗶𝗺𝗲𝗿 🚀 When it comes to optimizing code performance, knowing exactly how long your methods take to execute is key. That's where 𝗠𝗲𝘁𝗵𝗼𝗱𝗧𝗶𝗺𝗲𝗿 comes in! 𝗠𝗲𝘁𝗵𝗼𝗱𝗧𝗶𝗺𝗲𝗿 is a simple and powerful library that allows you to measure method execution time in your .NET applications with ease. Let's break it down with a step-by-step guide and a simple example. 💡 ✅ 𝗪𝗵𝗮𝘁 𝗶𝘀 𝗠𝗲𝘁𝗵𝗼𝗱𝗧𝗶𝗺𝗲𝗿? 🕒 𝗠𝗲𝘁𝗵𝗼𝗱𝗧𝗶𝗺𝗲𝗿 is a .NET library that makes performance monitoring straightforward. It uses a [𝗧𝗶𝗺𝗲] attribute to measure how long a method takes to execute, helping you identify bottlenecks and optimize your code. ✅ 𝗛𝗼𝘄 𝘁𝗼 𝗚𝗲𝘁 𝗦𝘁𝗮𝗿𝘁𝗲𝗱 𝘄𝗶𝘁𝗵 𝗠𝗲𝘁𝗵𝗼𝗱𝗧𝗶𝗺𝗲𝗿 🎯 𝟭. 𝗜𝗻𝘀𝘁𝗮𝗹𝗹 𝘁𝗵𝗲 𝗠𝗲𝘁𝗵𝗼𝗱𝗧𝗶𝗺𝗲𝗿 𝗟𝗶𝗯𝗿𝗮𝗿𝘆 📦 First, you need to add the MethodTimer package to your .NET project. You can do this via the NuGet Package Manager or the .NET CLI: 𝘐𝘯𝘴𝘵𝘢𝘭𝘭-𝘗𝘢𝘤𝘬𝘢𝘨𝘦 𝘔𝘦𝘵𝘩𝘰𝘥𝘛𝘪𝘮𝘦𝘳.𝘍𝘰𝘥𝘺 𝟮. 𝗔𝗱𝗱 𝘁𝗵𝗲 [𝗧𝗶𝗺𝗲] 𝗔𝘁𝘁𝗿𝗶𝗯𝘂𝘁𝗲 ⏱️ Once installed, you can start measuring the performance of your methods by simply adding the [𝗧𝗶𝗺𝗲] attribute to them. 𝟯. 𝗥𝘂𝗻 𝗬𝗼𝘂𝗿 𝗔𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻 🏃♂️ When you run your application, 𝗠𝗲𝘁𝗵𝗼𝗱𝗧𝗶𝗺𝗲𝗿 will automatically log the execution time of the [𝗧𝗶𝗺𝗲]-decorated methods. ✅ 𝗪𝗵𝘆 𝗨𝘀𝗲 𝗠𝗲𝘁𝗵𝗼𝗱𝗧𝗶𝗺𝗲𝗿? 🤷♂️ ➤ 𝗦𝗶𝗺𝗽𝗹𝗶𝗰𝗶𝘁𝘆: Just add the [𝗧𝗶𝗺𝗲] attribute, and you're good to go! ➤ 𝗡𝗼 𝗕𝗼𝗶𝗹𝗲𝗿𝗽𝗹𝗮𝘁𝗲: No need to manually start and stop timers or write extra code. ➤ 𝗥𝗲𝗮𝗹-𝗧𝗶𝗺𝗲 𝗜𝗻𝘀𝗶𝗴𝗵𝘁𝘀: Get instant feedback on your method performance. 𝗚𝗶𝘁 𝗗𝗲𝗺𝗼 𝗨𝗥𝗟: https://lnkd.in/gdJ9sJEK #𝗖𝗦𝗵𝗮𝗿𝗽 #𝗗𝗼𝘁𝗡𝗲𝘁 #𝗠𝗲𝘁𝗵𝗼𝗱𝗧𝗶𝗺𝗲𝗿 #𝗣𝗲𝗿𝗳𝗼𝗿𝗺𝗮𝗻𝗰𝗲𝗠𝗼𝗻𝗶𝘁𝗼𝗿𝗶𝗻𝗴 #𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗿𝗧𝗼𝗼𝗹𝘀 #𝗣𝗿𝗼𝗴𝗿𝗮𝗺𝗺𝗶𝗻𝗴 #𝗖𝗼𝗱𝗲𝗤𝘂𝗮𝗹𝗶𝘁𝘆 #𝗦𝗼𝗳𝘁𝘄𝗮𝗿𝗲𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁

1. Write a program to find duplicate elements in a string array. 2. How would you introduce yourself briefly and effectively? 3. Explain the framework you have worked with in your automation testing process. 4. How do you handle closing the second window of a browser in automation testing? 5. Differentiate between XPath and CSS selectors. 6. What is the syntax for a LinkText XPath locator? 7. What changes or setups do you perform before starting execution in your framework? 8. How do you handle change requests in your application? Describe the steps you follow. 9. How often do you trigger regression test scripts? How do you manage them in your repository? 10. What challenges have you encountered in automation testing, and how did you overcome them? 11. Explain the differences between GET and POST methods in API testing. 12. What are the essential components of the GET and POST methods? 13. Discuss HTTP status codes like 401 and 503. 14. How do you validate the response code in API testing? 15. What format do you use for assertions in your tests? 16. Explain the difference between 200 and 201 HTTP status codes. 17. Provide the syntax for query parameters in API requests.

Hello everyone, Creating well-structured test cases is crucial for effective software testing, and Excel is a fantastic tool for this purpose. Today, I’m sharing a step-by-step guide on how to create test cases in Excel: -Set Up Your Columns: Start by setting up columns for essential details such as Test Case ID, Test Description, Preconditions, Test Steps, Expected Result, Actual Result, and Status. -Define Test Case ID and Test Title: Assign a unique identifier to each test case for easy reference. This helps in tracking and managing your test cases efficiently also mention title for that specific functionality. Write Clear Test Descriptions: Ensure your test descriptions are concise and clear, outlining what each test case is intended to verify. -List Preconditions: Document any prerequisites or setup steps required before executing the test case. -Detail Test Steps: Break down the test execution into clear, actionable steps. Each step should be easy to follow and reproduce. -Specify Expected and Actual Results: Clearly define what the expected result should be for each test step. During execution, record the actual results to identify any discrepancies. -Update Status: Use the Status column to indicate whether a test case has passed, failed, or is still in progress. -Document Postconditions: Note the expected state of the system after the test case execution. This helps in verifying that the system behaves as expected after the test. I’d love to hear from you: -How do you organize your test cases? -What tips and tricks do you use to make test case management more efficient? -Have you faced any challenges using Excel for test cases? Please share your experiences and insights in the comments below! #SoftwareTesting #QualityAssurance #ManualTesting #ExcelTips #TestCaseManagement Here’s a simple template to get you started:

How I write 1000s of tests with little effort: • With property-based testing What is it, and why you should care: With normal unit tests, it's nearly impossible to cover all input combinations for your tested code. Writing 1000s of separate tests for all inputs is both expensive and time-consuming But property-based testing fixes this. It's a type of testing to check if our system holds a property when tested with a large number of inputs. Such property can be a business rule. As an example, think about a function that calculates the shortest path between two cities. For this, we can define properties like: • Symmetry: The shortest path from A to B should be the same as from B to A. • Non-Negativity: The length of the shortest path should never be negative. To execute property-based testing, we do the following: 1. Define a property 2. Generate a large number of input combinations 3. Run the test logic for each 4. Check if the property holds for each If a test fails, you have a bug in your system representing an edge case. To generate tests, you can use property-based testing libraries. You can find them in any language. Bugs don't hide in the happy paths. They hide in the edge and corner cases. By using property-based testing, you can build confidence. Don't write many tests. Generate them. ----- To learn more about Property-Based Testing, check out my latest newsletter post: craftbettersoftware.com

Writing effective test cases is essential to ensure that the software application is functioning as intended. A test case is a set of steps, conditions and inputs used to verify the system's functionality. Test cases should be clear, comprehensive, and easy to understand, making them reusable and easy to execute. Key Components of a Test Case: 1. Test Case ID: Unique identifier for each test case. 2. Test Case Description: A brief explanation of the test case's purpose. 3. Preconditions: Any requirements or setup necessary before executing the test case. 4. Test Steps: Detailed steps that guide the tester on how to execute the test. 5. Test Data: The data used for testing. 6. Expected Result: The outcome expected after executing the test. 7. Actual Result: The outcome observed after executing the test. 8. Pass/Fail: The result of the test (whether it passed or failed). 9. Post Conditions: Any required actions after executing the test (optional). 10. Priority: The importance of the test case (Low, Medium, High). 11. Type: Whether it's a positive or negative test case. Positive and Negative Test Cases 1. Positive Test Cases: Ensure the application works as expected with valid inputs. They confirm the software behaves correctly when used as intended. 2. Negative Test Cases: Test the application using invalid or unexpected inputs. These help check how the system handles errors, exceptions, and boundary cases. Tips for Writing Effective Test Cases 1. Clarity: Ensure each step is clear and can be easily followed by any tester. 2. Prioritize: Identify and prioritize high-risk areas of the application. 3. Test Data: Use realistic and comprehensive test data. 4. Traceability: Link test cases to requirements or user stories for coverage. 5. Reuse: Create modular test cases that can be reused across various scenarios. 6. Edge Cases: Consider boundary conditions and edge cases to cover all possibilities. 7. Update Test Cases: Keep test cases updated as the application evolves.