Prashant Hegde

As a QA professional, understanding core concepts and their differences is critical for excelling in interviews, real-time projects, and improving test strategies. Here’s a curated list of important QA topics every QA (Manual/Automation Tester) should know: 🛠 Key QA Concepts & Differences: 🔹 STLC vs SDLC 🔹 Verification vs Validation 🔹 Defect Life Cycle (Bug Life Cycle) 🔹 Quality Assurance vs Quality Control 🔹 Severity vs Priority (with combinations) 🔹 Functional vs Non-Functional Testing 🔹 Smoke vs Sanity vs Regression vs Retesting 🔹 Test Scenario vs Test Case 🔹 Static Testing vs Dynamic Testing 🔹 Black Box vs White Box vs Grey Box Testing 🔹 Test Strategy vs Test Plan 🔹 Positive vs Negative Testing 🔹 Defect Leakage vs Defect Escape 🔹 Build vs Release 💡 Why learn these? 📌 They form the backbone of QA interviews 📌 Essential for preparing test plans and automation frameworks 📌 Helps you communicate effectively with developers, PMs & stakeholders 🚀 Whether you’re a Manual QA, Automation Tester, or moving towards SDET, these concepts are your stepping stone! #SoftwareTesting #ManualTesting #AutomationTesting #QATerminologies #Selenium #Appium #APItesting #SDLC #STLC #BugLifeCycle #QualityAssurance #QualityControl #CareerInQA #TestingCommunity #LinkedInLearning #Amol_Aldar

273

17 Comments

Once you’ve worked as a QA long enough, you realize tools don’t matter as much. Whether it’s Selenium or Playwright → At its core, it’s about simulating user actions reliably. Whether it’s Postman or Rest Assured → At its core, it’s about validating APIs for correctness and performance. Whether it’s JMeter or k6 → At its core, it’s about measuring how systems behave under load. Whether it’s TestNG or JUnit → At its core, it’s about structuring and running automated tests efficiently. Whether it’s Jira or Trello → At its core, it’s about tracking and communicating work clearly. Whether it’s BrowserStack or LambdaTest → At its core, it’s about ensuring the product works everywhere it should. Whether it’s manual or automation → At its core, it’s about thinking critically and finding risks before users do. Tools come and go. The QA mindset stays forever. Repost this if you agree.

2,042

31 Comments

How to Write Test Cases Like a Pro ✍️ Writing a test case isn’t just about listing steps — it’s about building clarity, ensuring coverage, and giving confidence in the product quality. Here’s a simple guide to designing effective test cases like a professional: 🔹 1. Understand the Requirement Before jumping into writing, carefully analyze the user story or requirement. A test case is only as strong as your understanding of what needs to be validated. 🔹 2. Assign a Clear ID & Title Always give each test case a structured ID (e.g., TC_Login_001) and a meaningful title (e.g., Verify login with valid credentials). This makes tracking and referencing easier. 🔹 3. Define Preconditions Specify what needs to be in place before executing the test (e.g., User must already be registered). This avoids confusion for anyone else executing the test. 🔹 4. Write Step-by-Step Actions Each step should be clear, reproducible, and action-oriented. Avoid vague instructions like Do login → instead write Enter valid username and password, then click on Login. 🔹 5. State the Expected Result Clearly Don’t just write Expected Result: Success. Be specific: The user should be redirected to the dashboard with a welcome message. 🔹 6. Provide Test Data Add relevant test data to reduce assumptions. Example: Username: testuser1, Password: Test@123. 🔹 7. Categorize & Prioritize Label test cases as Smoke, Sanity, Regression, or Functional so execution is more purposeful and organized. 🔹 8. Keep It Simple & Reviewable A good test case should be easy to follow, even for someone who didn’t write it, and should still lead to consistent results. 💡 Pro Tip: A well-written test case should be executable by any tester (not just the author) and still deliver the same outcome. 👉 Question for you: Do you prefer writing detailed test cases or lightweight checklists in your projects? #TestingTips #QACommunity #AutomationTesting #SDET #Selenium #TestAutomation #Framework

133

2 Comments

QA Myths vs Reality..👇 Myth 1: QA is easy, anyone can do it. Reality: Good QA requires curiosity, patience, and the ability to think in 10 directions at once. Myth 2: Testers just find bugs. Reality: We prevent disasters. Bugs are just the surface. Myth 3: Automation = no need for manual testing. Reality: Automation can’t replace intuition, context, and user empathy. Myth 4: QA slows down releases. Reality: QA saves you from Last Minute fixes, angry customers, and sleepless production rollbacks, bad reviews. The truth is QA is invisible when it’s done right.✔️ Because no one praises the absence of bugs… but that’s exactly our victory. And here’s the knowledge part: -80% of software costs can come from fixing issues found after release. -A single missed defect can impact revenue, trust, or compliance. -Good QA is risk management we don’t just test the product, we test assumptions, workflows, and user expectations. That’s why QA is not a “step” in the process it’s a safety net for the entire product lifecycle. #QualityTalkWithNeha😊

1,251

90 Comments

🎯 Top AI Tools Every QA Engineer Should Know QA is evolving—and AI is leading the way. Whether you're creating test cases, debugging, or maintaining automation scripts, these smart tools will supercharge your QA process. 💡 🔍 Featured tools in this infographic: ✅ Testim, Autify, Mabl, ACCELQ ✅ Diffblue Cover, Bugbattle, Bugasura ✅ Katalon Studio, Applitools, LambdaTest ✅ CodiumAI, ChatGPT, GitHub Copilot ✅ Tonic.ai, Mockaroo + GPT …and more! 🧪 From smart test generation to visual regression and synthetic data—AI is making QA faster, smarter, and more reliable. 💬 Have you used any of these tools? Drop your favorites in the comments! #QA #AITools #SoftwareTesting #Automation #QATools #MachineLearning #TestAutomation #QualityAssurance #nehasolanki

281

11 Comments

Testing Has Never Been About “Manual” vs. “Automated” Hello connections 👋, In the world of QA, we often get caught up in the debate: Manual vs. Automated Testing. But here’s the truth—testing has never really been about the tools or the method. It’s about ensuring quality, improving user experience, and delivering software that works flawlessly. Manual testing allows us to explore, observe, and understand user behavior, while automated testing helps us scale, speed up, and ensure consistency. The real magic happens when we combine both approaches strategically, focusing on outcomes, not labels. As QA professionals, our goal is not to champion one over the other, but to choose the right approach for the right context—ensuring efficiency, accuracy, and customer satisfaction. Remember, it’s never “manual vs. automated”—it’s about quality, always. ✅ #QA #SoftwareTesting #QualityAssurance #ManualTesting #AutomationTesting #TechLeadership

57

Manual testing alone won’t secure your future in QA. Automation is no longer optional-it separates the average from the excellent. Key steps to stay ahead in QA: - Learn automation tools: Selenium, PyTest, Robot. - Combine domain knowledge with coding for better product insights. - Use automation to improve efficiency and reduce repetitive tasks. - Apply skills in both startups and MNCs to unlock growth. Mastering automation is essential to stay relevant and advance in your career. Which automation tool has transformed your workflow the most?

55

11 Comments

⚡ Stable releases don’t just appear overnight — they exist because of testers. While developers rest easy after a release, QC testers push through the late hours, making sure every detail is stable, reliable, and bug-free. Quality Control isn’t just a job — it’s the backbone of every successful release. 🚀 #QualityControl #Testing #SoftwareQuality #TeamWork #QCMindset

37

3 Comments