Functional Testing: It’s About More Than Passing Tests Functional testing is often seen as straightforward: does the feature work as intended? But over the years, I’ve learned it’s much more nuanced. I remember working on a feature where users could fill out a form and submit it to save their preferences. Technically, everything worked—data was saved correctly. But there was no confirmation message, leaving users confused about whether their action succeeded. This incident highlighted a key aspect of functional testing: it’s not just about verifying that the system works, but also that it behaves in a way users understand. Functional testing bridges the gap between what’s written in the requirements and how users interact with the product. For me, this means focusing on: 1. Clear feedback for user actions. 2. Edge cases that users might unintentionally trigger. 3. Consistency across the application. Functional testing is about ensuring a product not only functions as expected but also delivers a smooth, intuitive experience. What’s the most surprising functional bug you’ve encountered in your work? Let’s share stories and lessons learned!
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🔎EXPLORATORY TESTING: YOUR ULTIMATE GUIDE The world of software testing is evolving, and it’s time to embrace the dynamic shift from traditional scripted methods to the innovative realm of exploratory testing. 📂 Exploratory vs. Traditional Testing: 🔻 Scripted Testing: Relies on pre-written test cases executed in a controlled manner. While it offers consistency and reproducibility, it lacks the flexibility needed to handle unexpected scenarios. 🔻 Exploratory Testing: Excels in flexibility and adaptability, allowing testers to respond to real-time discoveries. This method fosters creativity and critical thinking, enabling testers to explore diverse pathways and uncover hidden issues. 🔓Why Shift from Traditional to Exploratory Testing? Software must keep up with unpredictable user behaviors and rapidly changing requirements. Traditional testing can miss unexpected issues that fall outside predefined scenarios. Meanwhile, exploratory testing does not. 👉 Wonder how exploratory testing can solve this problem? Read our blog post in the comment section below.
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19 rules for a #QualityEngineer or #Tester. #softwaretesting #quality 1. Quality is everyone’s responsibility Testing isn't just your job—developers, managers, and even customers contribute to quality. 2. Testing can’t prove the absence of bugs No matter how much you test, you can't guarantee a system is bug-free. 3. Understand the product, not just the test cases To test effectively, you need to know the end-user's perspective and how the product is meant to be used. 4. Focus on high-risk areas first Prioritize testing the parts of the software that are most critical or prone to failure. 5. Communicate issues clearly When you report a bug, make sure the developer can easily understand and reproduce it. 6. Automate where it makes sense Automation is great, but only when it provides value. Manual testing is still important for exploratory and user-experience testing. 7. Tests are only as good as the requirements If the requirements are unclear, your tests will be too. Seek clarity before testing. 8. Write detailed and reproducible bug reports A well-documented bug helps developers fix the issue faster. 9. Testing is not just about finding defects It’s about ensuring the software meets the intended purpose and delivering a great user experience. 10. Keep learning new tools and techniques Just like developers, testers need to stay updated with the latest tools, frameworks, and methodologies. 11. Test early, test often The earlier bugs are found, the cheaper and easier they are to fix. 12. Don’t rely on happy path testing Test for edge cases, negative scenarios, and unexpected inputs. 13. Challenge assumptions Never assume that something works without verifying it through testing. 14. Performance, security, and usability are equally important Don't focus solely on functional testing. Non-functional aspects matter too. 15. Pair with developers to understand how things work Collaborating with developers can help you identify areas that may need extra attention during testing. 16. Regression testing is critical Always ensure that new features or changes haven’t broken existing functionality. 17. Documentation and traceability matter Keep detailed records of what was tested, when, and how it was done, for future reference. 18. Testing is about context Adapt your testing strategy based on the project’s needs, timeline, and goals. 19. Quality over quantity It’s not about the number of tests you run but the impact of the tests and the insights they provide.
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This article provides good starting points if you need some real-life examples of how to design test cases. #testing https://lnkd.in/dAVatvSp
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Writing effective test scenarios is very crucial for ensuring comprehensive test coverage and identifying potential issues in any application. I would like to mention some ways to write the best test scenarios for testing a product: 1. Understand Requirements: Start by thoroughly understanding the functional and non-functional requirements of the application. This will help us identify the features and functionalities that need to be tested. 2. Use User Stories: Write test scenarios based on user stories or use cases to ensure that the tests reflect real-world usage scenarios and address end-user needs. 3. Be Clear and Specific: Write clear, specific, and unambiguous test scenarios that describe the expected behavior or outcome. Avoid vague language and ensure that each scenario focuses on testing a single functionality or feature. This will help anyone to directly go through them and test. 4. Cover Positive and Negative Scenarios: Include both positive and negative test scenarios to validate that the application behaves as expected under different conditions, which includes valid & invalid inputs, edge cases, and error conditions. 5. Prioritize Test Scenarios: Prioritize test scenarios based on factors such as criticality, complexity, and frequency of use. Focus on testing high-risk and high-impact areas first to maximize test coverage and minimize risk. 6. Use Boundary Values: Include test scenarios that test boundary conditions and limits of input parameters, as these are often where defects are most likely to occur. 7. Consider Different User Roles: Write test scenarios that reflect the different roles and permissions of users interacting with the application. Test scenarios should cover functionality specific to each user role. 8. Include Integration Scenarios: Write test scenarios that cover integration points between different modules or components of the application to ensure that they work together seamlessly. 9. Ensure Reproducibility: Ensure that test scenarios are reproducible and can be executed reliably across different environments and configurations. 10. Review and Validate: Review test scenarios with stakeholders, developers, and other team members to ensure accuracy, completeness, and relevance. Validate test scenarios against requirements and user expectations. 11. Document Test Data and Preconditions: Clearly document any test data or preconditions required for executing each test scenario to ensure consistency and repeatability. 12. Keep Test Scenarios Updated: Update test scenarios regularly to reflect changes in requirements, features, or functionality of the application. #QA #Testing #TestScenarios
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Improving testing involves several strategies and understanding its various facets. Here are key areas to focus on: Strategies to Improve Testing 1. Automate Where Possible: Use automated testing tools to run repetitive tests, which can save time and reduce human error. 2. Test Early and Often: Implement continuous testing throughout the development lifecycle to catch issues early. 3. Develop Clear Test Plans: Create comprehensive test plans that outline objectives, scope, resources, and schedules. 4. Prioritize Tests: Focus on high-risk areas and critical functionalities first, ensuring that the most important features are tested thoroughly. 5. Use Metrics: Track testing metrics like defect density, test coverage, and test execution time to identify areas for improvement. 6. Encourage Collaboration: Foster communication between developers, testers, and stakeholders to ensure everyone understands requirements and expectations. 7. Train Your Team: Provide ongoing training and resources for your team to stay updated on testing methodologies and tools. 8. Incorporate Feedback: Regularly gather feedback from stakeholders and team members to refine processes and tools. Facets of Testing 1. Functional Testing: Verifies that the software functions according to specified requirements. 2. Non-Functional Testing: Assesses performance, usability, security, and other quality attributes. 3. Regression Testing: Ensures that new code changes do not adversely affect existing functionalities. 4. Integration Testing: Tests the interaction between different components or systems to ensure they work together. 5. Unit Testing: Focuses on individual components or functions, typically done by developers. 6. System Testing: Validates the complete and integrated software system to ensure it meets requirements. 7. User Acceptance Testing (UAT): Conducted by end-users to verify the software meets their needs and requirements. 8. Performance Testing: Evaluates speed, scalability, and stability under varying conditions. 9. Security Testing: Identifies vulnerabilities and weaknesses in the software to ensure data protection. 10. Exploratory Testing: Involves testing without predefined test cases, allowing testers to discover issues through exploration. #SoftwareTesting #QualityAssurance #TestAutomation #TestingStrategy #ContinuousTesting #FunctionalTesting #NonFunctionalTesting #RegressionTesting #IntegrationTesting #UnitTesting #SystemTesting #UserAcceptanceTesting #PerformanceTesting #SecurityTesting #ExploratoryTesting #TestImprovement #AgileTesting #TestingMetrics #Collaboration #TestPlanning #QualityEngineering
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Manual vs. Automated Testing: Finding the Right Balance When it comes to testing software, finding the right balance between manual and automated testing is crucial. Manual testing allows for a human touch, providing a deep understanding of the software's functionality and user experience. It allows testers to identify subtle nuances that automated tests might miss. However, it can be time-consuming and prone to human error. On the other hand, automated testing offers speed and efficiency. It can quickly execute repetitive tests, saving time and resources. It also ensures consistency in test results. However, it may not capture the same level of user experience as manual testing. So, how do we strike the right balance? Here are a few key considerations: * Complexity: For complex scenarios, manual testing can be more effective in uncovering hidden bugs and edge cases. Automated tests might struggle to replicate real-world scenarios accurately. * Regression Testing: Automated tests excel in performing repetitive regression tests, ensuring that new changes do not break existing functionality. This frees up manual testers to focus on exploratory testing and uncovering new issues. * Time and Resources: Evaluate the project timeline and available resources. If time is limited, automated testing can help speed up the process. However, if resources allow, a combination of both manual and automated testing can yield the best results. * Test Coverage: Consider the areas of the software that require extensive testing. Manual testing can be more thorough in uncovering critical issues, while automated tests can cover a wider range of scenarios. Remember, there is no one-size-fits-all approach. The right balance between manual and automated testing will vary depending on the project's unique requirements. It's essential to continuously evaluate and adapt your testing strategy as the project evolves. Let's discuss! What has been your experience with manual and automated testing? Have you found the right balance for your projects? Share your insights in the comments below! If you found this post helpful, give it a like and consider reposting to share it with your network. Together, let's navigate the world of testing and find the perfect balance! #SoftwareTesting #ManualTesting #AutomatedTesting #SPEARSOFT
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🚀 Effective Test Case Design Techniques for Quality Assurance🚀 In the world of software testing, crafting thorough and efficient test cases is key to ensuring high-quality products. Whether you're a seasoned tester or just starting out, understanding various test case design techniques can elevate your testing strategy and help you identify potential defects early. Here are some popular test case design techniques every tester should know: 1. Equivalence Partitioning: Divide input data into valid and invalid partitions to reduce redundant test cases while covering a wide range of scenarios. 2. Boundary Value Analysis: Focus on the edges of input ranges. Often, errors occur at boundaries, so testing these values ensures you're covering critical edge cases. 3. Decision Table Testing: Perfect for systems with complex business rules. This technique helps create a clear set of test cases based on different combinations of conditions and actions. 4. State Transition Testing: Useful for systems that change states based on user inputs. This technique ensures that the system responds correctly to a variety of transitions between states. 5. Error Guessing: One of the most intuitive and powerful test case design techniques is Error Guessing. Unlike more structured methods, error guessing relies on the tester's experience and intuition to predict where defects are likely to occur in the software. 💡 Pro Tip: The key to successful test case design is knowing when and where to apply each technique. Combine these methods to create a robust testing suite that thoroughly validates your software. What test case design techniques do you find most effective? Share your thoughts! 👇 #SoftwareTesting #QualityAssurance #Testing #TestCaseDesign #QA #TestingTechniques #QualityMatters
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"In this article I describe a requirements testing exercise I engaged in with a project of my own. I use a few techniques that were effective and relatively easy ways to expose problems not immediately visible in the first iteration of the requirements. Those techniques are: walk through any steps described in the requirements ask for clarification ask “what would happen if this step failed?” ask “what is the user supposed to do at this point?” ask if new issues indicate new requirements". ************* Anything else? :) ***************
Think Like A Tester And Use Simple Questions To Test Requirements
waynemroseberry.github.io
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Common Pitfalls in Manual Testing and How to Avoid Them: Manual testing is a critical component of the software development process, but it’s also susceptible to several common pitfalls that can undermine its effectiveness. Recognizing these pitfalls and implementing strategies to avoid them is crucial for ensuring a robust and reliable testing process. Here’s a comprehensive look at these common pitfalls and how to avoid them: 1. Insufficient Test Coverage How to Avoid: Comprehensive Test Planning Requirement Analysis Use Traceability Matrices Regular Reviews 2. Poor Test Case Design How to Avoid Clear and Detailed Test Cases Use Consistent Naming Conventions Include Preconditions: Peer Reviews 3. Lack of Documentation How to Avoid Comprehensive Documentation Version Control Centralized Repository 4. Ineffective Bug Reporting. How to Avoid: Detailed Bug Reports Prioritize Bugs Use Standard Templates 5. Ignoring Exploratory Testing How to Avoid: Allocate Time for Exploration Use Session-Based Testing Document Findings 6. Overlooking Regression Testing How to Avoid: Automate Where Possible Maintain a Regression Suite Prioritize Key Areas 7. Inadequate Testing Environments How to Avoid: Mirror Production Environment Environment Validation Use Multiple Configurations 8. Lack of User Perspective How to Avoid: Include Usability Testing Gather User Feedback Create User Personas 9. Failure to Update Test Cases How to Avoid: Regularly Review Test Cases Maintain a Change Log Remove Redundant Tests 10. Ignoring Non-Functional Testing How to Avoid: Include Non-Functional Tests Use Appropriate Tools Set Non-Functional Goals
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Why is manual testing important? There are numerous reasons why manual testing is important and cannot be completely replaced by automated tests. Namely, while manual testing can be time-consuming, it offers certain advantages, such as the ability to adapt to changing requirements and providing human insight and intuition that automation may lack. Here are some instances that highlight the importance of manual testing: 1-Manual testing relies on human perspective. Automated tests lack human senses, which can be crucial for assessing visual aspects of an application's interface. Manual testing is essential, especially for complex user interfaces with animations or interactive elements. 2-Manual testing can be more efficient than automation. There are some instances when manual testing can be the more efficient testing approach—when a software product is still in early development, is undergoing changes, lacks stability, or is too complex. 3-Manual testing supports exploratory testing. Manual testing is indispensable for exploratory testing, where testers evaluate the system on-the-fly without predefined test cases, enabling quick identification of major flaws.
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