Shanto Kumar Saha 🔍’s Post

Boundary Testing: Why It’s Critical in QA Boundary Testing is a simple yet powerful technique in software testing. It focuses on testing the edges of input ranges to catch errors that might not appear in regular use. Here’s why it’s important: 1. Identifies defects at the upper and lower limits of input. 2. Prevents critical failures like crashes or incorrect outputs. 3. Ensures thorough test coverage, leaving no edge cases untested. Do you use boundary testing in your QA process? Let’s discuss its impact! #BoundaryTesting #QATesting #SoftwareQuality #SoftwareTesting

Top Five Software Testing Mistakes and How to Avoid Them? 📝 Lack of Proper Test Planning Mistake: Skipping a detailed test plan. Solution: Develop a comprehensive test plan outlining scope, objectives, resources, and schedule. 🔍 Inadequate Test Coverage Mistake: Not testing all requirements. Solution: Create test cases covering all scenarios and use coverage tools. 🤖 Ignoring Automation Mistake: Relying solely on manual testing. Solution: Use automated testing for repetitive tasks to improve efficiency. 📂 Poor Test Case Management Mistake: Having unorganized or outdated test cases. Solution: Regularly update and manage test cases using tools. 🧪 Insufficient Test Data Mistake: Using unrealistic test data. Solution: Create diverse, realistic test data sets covering different scenarios. Avoiding these top five mistakes can significantly enhance your software testing process and overall software quality. #softwaretesting #qualityassurance #QA #testingmistakes

Hi Network! We're all aware that Regression testing can be a significant (sometimes VERY significant) activity which requires substantial resources and time. Changing world requires from IT and other spheres to maintain flexibility in cost (resources) and time, but keep high quality. That is why I would like to invite you to the event where speakers will share possible strategy, approaches, best practices and their experience of decreasing Regression testing. Don't miss out on this exciting opportunity!

✴️What is Boundary Level Testing? Boundary level testing involves testing the extreme values at the edge of input ranges. For example, if a function accepts an integer input from 1 to 100, boundary level testing would involve testing values at 1, 100, and values just outside this range like 0 and 101. ✴️Why is Boundary Level Testing Important? 1.Error-Prone Areas: Boundary values are often where software errors occur. Testing these values helps catch edge-case defects. 2. Efficiency: Testing at boundaries is more efficient than random testing because it targets specific, high-risk areas. 3. Regulatory Requirements: In some domains, thorough boundary testing is a regulatory requirement to ensure safety and reliability. ◾How to Perform Boundary Level Testing? 1. Identify Boundaries: Determine the boundary values for each input parameter. This includes minimum, maximum, and just inside/outside values. 2. Design Test Cases: Create test cases that include these boundary values. For instance: If an input range is 1 to 100, test with values: 1, 100 (boundary values), 0, 101 (just outside boundaries). 3.Execute Tests: Run the tests and observe if the application handles boundary values correctly. Example: Consider a system that accepts a user age between 18 and 65: -Valid Boundary Values: 18, 65 -Invalid Boundary Values: 17, 66 💻Test Cases: 1. Enter 18 (expected: valid input) 2. Enter 65 (expected: valid input) 3. Enter 17 (expected: invalid input, should be rejected) 4. Enter 66 (expected: invalid input, should be rejected) ◼️Benefits of Boundary Level Testing -Early Detection of Defects. -High Test Coverage with Few Cases. -Increases Confidence. Let's connect and explore how we can push the boundaries of software quality together Follow Sagar Mundale to explore software testing. #QA #SoftwareTesting

How to reduce the software testing redundancy? We often perform testing while having redundant test cases to be executed. However, we should work on optimizing the test suit so no test case shall repeat and we can optimize the testing cycle. For testing optimization, focus on the 2 basic techniques: 1. Atomic testing: breakdown test cases into small and independent tests. Each test performs specific functionality. 2. Autonomous testing: it's the automation of test execution with less dependency on another test case. By focusing on the following practices, you can optimize test decisions: -> Update and rewrite: This will help you make your test cases concise and clear, without the repetition of test execution. -> Remove: For those features/functionality that become outdated or removed, try to remove their test cases as well. -> De-prioritize: Focus on the UAT and crucial requirements of the system. And prioritize accordingly. This will shift your testing decision towards the important aspects and the least important features will take the backseat. -> Test Suit: If a complete feature or component is removed from the codebase, then its test suit becomes obsolete. But rather than consider deleting it, make it archive instead. In case some part of it gets back, you'll have a backup. What else do you think is important to reduce testing redundancy? Mention in the comments! Follow for more such content Ammar Azhar #linkedin #sqa #testoptimization #redundancy

Below are the 7 principles of Software Testing. 1. Testing shows the presence of issues/bugs: Testing software discover the issues, so that can be fixed before they are deployed to live environments, this enables us to understand how well our software/product behaves. 2. Exhaustive testing is impossible: It is absolutely impossible to test everything all combinations, inputs and preconditions, we can cover the vast areas while ensuring the main important flow is working fine. 3. Early testing saves time and money: To find the defect in the software early test activity will be started, testing started in the early phases will be less expensive for example: testing will be performed in requirement analysis phase. 4. Pesticide and paradox: Repeatedly testing the same test cases again and again doesn’t find any defects/bugs instead it is necessary to review the test cases and add or update the test cases to find new bugs. 5. Testing is context dependent: The testing approach depends on the context of the software developed. Different types of software need to perform different types of testing. 6. Absence of error fallacy: Even if the software is 99% bug free and doesn’t meet the customer requirements then it is unusable. It is not only necessary that software should be 99% bug free but it is also mandatory to fullfill the customer requirements. 7. Defect clustering: Defect Clustering which states that a small number of modules contain most of the defects detected. #softwaretesting #qa #softwaretestingcommunity #qacommunity #testing #qualityassurance #softwarequalityassurance

In software testing, the concepts of white box, black box, and grey box testing play crucial roles in ensuring robust, error-free applications. White box testing involves an in-depth examination of the internal workings and code structure, enabling testers to verify specific functionalities and logic flows. Black box testing, on the other hand, focuses on evaluating the application's functionality without any knowledge of the internal code, ensuring the system meets user expectations and requirements. Grey box testing combines both approaches, allowing testers to leverage partial knowledge of the internal structures to design more effective test cases. By integrating these three methodologies, organizations can achieve a comprehensive and balanced assessment of their software, enhancing quality and reliability. #SoftwareTesting #QualityAssurance #ManualTesting #SecurityTesting #SoftwareDevelopment #TechSolutions #QAExperts #testingcompany #QA

🔍 Exploring Functional Testing Types: Essential for Quality Software! Functional testing is vital in ensuring that each part of your software meets the required standards. Here are 10 types every tester should know: 1. Unit Testing: Validates individual components or functions. 2. Integration Testing: Ensures modules work well together. 3. System Testing: Checks the entire system against requirements. 4. Sanity Testing: Quick checks after minor changes. 5. Smoke Testing: Verifies basic application stability. 6. Regression Testing: Confirms new changes that don’t break existing functionality. 7. User Acceptance Testing (UAT): Validates the system from an end-user perspective. 8. Beta Testing: Collects real-world feedback pre-release. 9. Interface Testing: Tests communication between components. 10. End-to-End Testing: Examines complete workflows from start to finish. 💡 Which type of functional testing do you find most effective? Let’s discuss in the comments below! #SoftwareTesting #QualityAssurance #FunctionalTesting #TestAutomation #QA #TechSkills

✨Mastering Regression Analysis with Automation 💯 However, manually performing regression analysis can be time-consuming and prone to errors. This is where automation comes into play, streamlining the process and ensuring accuracy. #TestAutomations Automating regression analysis offers... Automates repetitive tasks, saving time, Reduces human error,Easily handles large datasets and Reproducibility-Ensures consistent results. #Regression: In the fast-paced world of software development, ensuring that new updates or code changes do not adversely affect existing functionalities is crucial. This is where regression testing comes into play, serving as a critical component of a comprehensive quality assurance (QA) strategy. #Regression #Qualityassurance #testingtools #Testing #Softwaretesting #Testingstrategies #Efficiency

Top Five Software Testing Mistakes and How to Avoid Them? 📝 Lack of Proper Test Planning Mistake: Skipping a detailed test plan. Solution: Develop a comprehensive test plan outlining scope, objectives, resources, and schedule. 🔍 Inadequate Test Coverage Mistake: Not testing all requirements. Solution: Create test cases covering all scenarios and use coverage tools. 🤖 Ignoring Automation Mistake: Relying solely on manual testing. Solution: Use automated testing for repetitive tasks to improve efficiency. 📂 Poor Test Case Management Mistake: Having unorganized or outdated test cases. Solution: Regularly update and manage test cases using tools. 🧪 Insufficient Test Data Mistake: Using unrealistic test data. Solution: Create diverse, realistic test data sets covering different scenarios. Avoiding these top five mistakes can significantly enhance your software testing process and overall software quality. #softwaretesting #qualityassurance #QA #testingmistakes #automation #testcase #testplan Abhik KhandelwalAshutosh KrishnaApurva BorgaveAwaisKhan GanachariAshok Kumar SawBalasubramanian RDeep ShikhaDivya MalviayManikandan KSuraj S NaikAkshata Nilo GaonkarSabaris WaranIndra PrajapatiRaju Khadka