App Testing and Debugging Solutions

Mastering Real-World App Performance: Our Strategy at Space-O Technologies In the dynamic world of mobile app development, testing and monitoring app performance under real-world conditions is crucial. At Space-O Technologies, we’ve developed a robust approach that ensures our apps not only meet but exceed performance expectations. Here’s how we do it, backed by real data and results. 📊📱 1. Real-User Monitoring (RUM): Our Tactic: We use RUM to gather insights on how our apps perform in real user environments. This has led to a 30% improvement in identifying and resolving user-specific issues. Benefit: By understanding actual user interactions, we've increased user satisfaction rates by 20%. 2. Load Testing in Realistic Conditions: Strategy: We simulate various user conditions, from low network connectivity to high traffic, to ensure our apps can handle real-world stresses. This approach has reduced app downtime by 40%. Outcome: As a result, we've seen a 25% increase in user retention due to improved app reliability. 3. Beta Testing with a Diverse User Base: Method: Our beta testing involves users from various demographics and tech-savviness. This diverse feedback led to a 35% increase in the app’s usability across different user groups. Impact: Enhanced user experience has led to a 15% increase in positive app reviews and ratings. 4. Performance Analytics Tools: Application: We employ advanced analytics tools to continuously monitor app performance metrics. This has helped us in optimizing app features, resulting in a 20% increase in app speed and responsiveness. Advantage: Improved performance metrics have directly contributed to a 30% growth in active daily users. 5. AI-Powered Incident Detection: Innovation: Using AI for incident detection and prediction has been a game-changer, reducing our issue resolution time by 50%. Result: Faster issue resolution has led to a 60% reduction in user complaints related to performance. 6. Regular Updates Based on Performance Data: Practice: We roll out updates based on concrete performance data, which has led to a 40% improvement in feature adoption and efficiency. Return on Investment: This strategic update process has enhanced overall app engagement by 25%. 🔍 Ensuring Peak Performance in the Real World At Space-O Technologies, we’re committed to delivering apps that perform flawlessly in the real world. Our methods are tried and tested, ensuring that our clients’ apps thrive under any condition. If you’re striving for excellence in app performance, let’s connect and share insights! https://lnkd.in/df_Pj6Ps Jasmine Patel , Bhaval Patel, Ankit Shah , Vijayant Das, Priyanka Wadhwani , Amit Patoliya , Yuvrajsinh Vaghela , Asha Kumar - SAFe Agilist #AppPerformance #RealWorldTesting #MobileAppDevelopment #TechInnovation #mobileappdevelopment #mobileapp #mobileappdesign

Life is Short – Use Testing Tools Smartly! In QA, tools are not just add-ons — they are our backbone for bug tracking, test planning, automation, CI/CD, and reporting. Here’s a complete toolbox every QA Engineer / Tester should know 👇 🔴 Bug & Defect Tracking Jira – Usage: Log & track bugs. Example: User sends money → deducted but not credited → tester logs in Jira for fix. Bugzilla / Mantis / YouTrack / Monday / ClickUp / Asana / Redmine / Trac – Usage: Report issues to devs. Example: “App crashes on Pay Bill” recorded for dev to resolve. 🟠 Test Planning & Management TestRail / Zephyr / Xray / QMetry / TestCollab – Usage: Write, organize & run test cases. Example: Tester creates case: “Add product → Apply coupon → Checkout → Verify discount.” 🟡 Automation Testing Selenium – Usage: Automate browser actions. Example: Auto-check login & balance 100 times instead of manual. Appium – Usage: Automate mobile apps. Example: Auto-test “Send money → Get SMS confirmation.” Playwright / Cypress / Katalon – Usage: Fast end-to-end testing. Example: Test “Signup with OTP” flow works on all browsers. 🟢 Automation Frameworks TestNG / JUnit / Pytest / Mocha / Gauge – Usage: Organize automation code. Example: Run regression suite for “Loan EMI calculation.” Cucumber – Usage: Write tests in plain English (BDD). Example: “Given user logs in → When they transfer money → Then receipt is shown.” 🔵 CI/CD (Continuous Testing) Jenkins / GitLab / Bamboo / CircleCI / TeamCity / CodePipeline – Usage: Run tests automatically after updates. Example: After new release, Jenkins runs smoke tests: login, balance check, transfer. 🟣 Test Execution & Reporting BrowserStack / LambdaTest / HeadSpin – Usage: Test across devices & locations. Example: Tester checks payment page on iPhone + Samsung. Allure / Extent Reports – Usage: Generate reports for stakeholders. Example: Share dashboard showing passed/failed test cases. ✅ Key Takeaway: The right tool at the right stage saves time, effort, and cost — while ensuring quality at speed. 🔗 Which of these tools do you use daily in your QA journey? Let’s share best practices! #QA #SoftwareTesting #Automation #BugTracking #TestManagement #CI/CD #QualityAssurance

Testing is a crucial part of Canvas App development in Power Apps. Here are some useful tools and techniques for testing your Canvas Apps effectively: 1. Built-in Power Apps Tools 🛠 Monitor Tool Tracks all events, performance, and data calls in real time. Helps debug API calls, errors, and performance bottlenecks. Access via: Power Apps Studio → Advanced Tools → Monitor 🛠 Test Studio (Automated Testing) Allows creation of automated UI tests using test cases. Helps validate app behavior and prevent regressions. Access via: Power Apps Studio → Advanced Tools → Test (Experimental) 🛠 Performance Checker Identifies performance issues related to controls, formulas, and data sources. Provides recommendations for optimization. Access via: File → Settings → Performance Checker 🛠 Preview & Live Testing Run your app in preview mode to simulate real-world interactions. Test different devices (desktop, tablet, mobile) for responsiveness. 2. External Testing Tools 🔍 Browser Developer Tools (Chrome, Edge, Firefox) Use F12 DevTools to inspect network requests, console logs, and performance. Useful for debugging Power Apps Web Player issues. 📱 Device Emulators & Real Devices Test your app on iOS & Android using Power Apps mobile app. Use Browser DevTools’ mobile view to simulate different screen sizes. ⚡ Power Automate Automate UI testing by triggering Power Automate flows. Useful for testing workflows, approvals, and notifications. 3. Best Practices for Testing ✅ Unit Testing – Test individual formulas, variables, and logic separately. ✅ Integration Testing – Verify how the app interacts with external data sources like SharePoint, Dataverse, SQL. ✅ User Acceptance Testing (UAT) – Involve end-users to validate app functionality before deployment. ✅ Security Testing – Test role-based access, authentication, and data security settings. What are some effective testing strategies for you? #powerapps #canvasapps #powerappstesting #powerappstips #powerplatform

𝟏𝟐 𝐏𝐨𝐰𝐞𝐫𝐟𝐮𝐥 𝐏𝐫𝐨𝐦𝐩𝐭𝐬 𝐭𝐨 𝐃𝐞𝐛𝐮𝐠 𝐂𝐨𝐝𝐞 𝐅𝐚𝐬𝐭𝐞𝐫 Most developers debug by trial and error. These 12 prompts turn AI into your debugging partner from fixing bugs to generating test cases. 𝟏. 𝐅𝐢𝐱 𝐭𝐡𝐞 𝐁𝐮𝐠 When: Your code is not working as expected Prompt: "Help me understand why this code is failing and explain the fix in very simple terms: [your code snippet]." 𝟐. 𝐔𝐧𝐝𝐞𝐫𝐬𝐭𝐚𝐧𝐝 𝐭𝐡𝐞 𝐄𝐫𝐫𝐨𝐫 When: You encounter an error message Prompt: "I am getting this error: [error message]. What does it mean, and how can I fix it?" 𝟑. 𝐂𝐡𝐞𝐜𝐤 𝐄𝐝𝐠𝐞 𝐂𝐚𝐬𝐞𝐬 When: You want to ensure your logic is complete Prompt: "Here is what my function should do: [description]. Can you identify edge cases or scenarios I might have missed?" 𝟒. 𝐑𝐞𝐯𝐢𝐞𝐰 𝐭𝐡𝐞 𝐂𝐨𝐝𝐞 When: You want a quality check Prompt: "Review this code for bugs, security issues, and bad practices: [your code]." 𝟓. 𝐆𝐞𝐭 𝐃𝐞𝐛𝐮𝐠𝐠𝐢𝐧𝐠 𝐒𝐭𝐞𝐩𝐬 When: You are stuck on a tricky issue Prompt: "I am facing this issue: [describe problem]. What step-by-step approach should I take to debug it?" 𝟔. 𝐕𝐚𝐥𝐢𝐝𝐚𝐭𝐞 𝐀𝐬𝐬𝐮𝐦𝐩𝐭𝐢𝐨𝐧𝐬 When: You suspect incorrect logic Prompt: "I think the issue is in [part of code] because I assumed [X]. What assumptions might be wrong?" 𝟕. 𝐄𝐱𝐩𝐥𝐚𝐢𝐧 𝐭𝐡𝐞 𝐂𝐨𝐝𝐞 When: You do not fully understand the code Prompt: "Explain what this code does step by step in simple terms: [paste code]." 𝟖. 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐞 𝐓𝐞𝐬𝐭 𝐂𝐚𝐬𝐞𝐬 When: You want to test thoroughly Prompt: "Create test cases, including edge cases, for this code or feature: [description or code]." 𝟗. 𝐈𝐬𝐨𝐥𝐚𝐭𝐞 𝐭𝐡𝐞 𝐈𝐬𝐬𝐮𝐞 When: You do not know where the bug is Prompt: "Help me isolate the exact part of the code causing this issue and suggest how to verify it." 𝟏𝟎. 𝐂𝐨𝐦𝐩𝐚𝐫𝐞 𝐄𝐱𝐩𝐞𝐜𝐭𝐞𝐝 𝐯𝐬 𝐀𝐜𝐭𝐮𝐚𝐥 When: Output does not match expectations Prompt: "Here is what I expected: [expected]. Here is what I got: [actual]. Where could things be going wrong?" 𝟏𝟏. 𝐎𝐩𝐭𝐢𝐦𝐢𝐳𝐞 𝐭𝐡𝐞 𝐅𝐢𝐱 When: You have a working solution but want improvements Prompt: "This solution works, but can you suggest a cleaner, more efficient, or more scalable version?" 𝟏𝟐. 𝐀𝐝𝐝 𝐃𝐞𝐛𝐮𝐠𝐠𝐢𝐧𝐠 𝐋𝐨𝐠𝐬 When: You need better visibility into execution Prompt: "Where should I add logs or breakpoints in this code to better understand what's happening?" Debugging is not about fixing bugs faster. It is about understanding the problem, validating assumptions, testing thoroughly, and optimizing the solution. 𝐖𝐡𝐢𝐜𝐡 𝐩𝐫𝐨𝐦𝐩𝐭 𝐚𝐫𝐞 𝐲𝐨𝐮 𝐮𝐬𝐢𝐧𝐠 𝐭𝐨𝐝𝐚𝐲? ♻️ Repost this to help your network get started ➕ Follow Anurag(Anu) Karuparti for more PS: If you found this valuable, join my weekly newsletter where I document the real-world journey of AI transformation. ✉️ Free subscription: https://lnkd.in/exc4upeq #GenAI #AgenticAI #AIAgents

Day 6: 🔧 Top 10 Testing Tools Every QA Engineer Should Know in 2025 QA is no longer just about catching bugs — it's a critical enabler of fast, secure, and scalable software delivery. As projects grow more complex and timelines shrink, the right tools can make or break your testing strategy. 🛠️ Top 10 Testing Tools Shaping QA in 2025 Selenium The industry standard for web automation testing. Selenium supports multiple languages and browsers, making it a top choice for regression and functional testing. Postman A powerful platform for API development and testing, offering automation via scripts, mock servers, and robust integrations. A go-to for backend and service validation. Apache JMeter A performance testing tool is widely used to simulate heavy loads on servers and measure application behavior under stress. Essential for web and API performance testing. TestNG A versatile testing framework inspired by JUnit but more powerful—great for complex testing suites, parallel test execution, and data-driven testing, especially with Selenium. Appium The leading open-source tool for mobile automation testing. Supports native, hybrid, and mobile web apps on both Android and iOS using a single codebase. Cypress A modern end-to-end testing framework for JavaScript applications. Loved for its speed, debuggability, and real-time reloading—ideal for frontend UI tests. Playwright Developed by Microsoft, this fast-rising tool enables reliable cross-browser testing across Chromium, Firefox, and WebKit with headless support and full automation features. Burp Suite The gold standard for web security testing. Ideal for penetration testing, detecting vulnerabilities like XSS, CSRF, and more, vital in DevSecOps pipelines. TestRail A comprehensive test case management platform that helps teams organize, track, and manage testing efforts with integrations to tools like Jira and CI/CD pipelines. QTest by Tricentis Enterprise-grade test management with support for Agile workflows, real-time reporting, and seamless integration with automation frameworks and DevOps tools. These ten tools are among the most widely used, but countless others are chosen by teams worldwide based on their unique project needs, tech stacks, and testing goals. ✅ Real-World Scenario: How These Tools Work Together Imagine testing a banking app: Selenium for UI automation Postman to validate transaction APIs JMeter to simulate 1,000+ users Burp Suite to ensure data security By combining tools across layers, you ensure full test coverage, from functionality to performance and security. 💡Final Thought Tool selection isn’t about popularity, it’s about what fits your architecture, timelines, and team skills. Mastering these tools empowers you to deliver faster, test smarter, and build trust. Let tools amplify your impact, not define your limits. #SoftwareTesting #QATools #AutomationTesting #DevOps #Selenium #Postman #Testing2025 #DevSecOps #TestManagement #QAEngineering #Day6

50 Real-World Android Debugging ⚠️ ANRs (App Not Responding) 1. ANR = Main thread blocked for 5+ sec 2. Common cause = disk/network/db on main thread 3. Use StrictMode to detect main thread abuse 5. onClick → delay = bad UX, risk of ANR ⚠️ Crashes 6. Always read the last 5 lines of the crash log 7. NullPointerException = you trusted something that didn’t exist 9. Fatal Exception = unhandled or unrecoverable 10. Use try-catch only around risky code, not everything ⚠️ Lifecycle Bugs 11. Crash during rotation? You're leaking context or holding old views 13. Accessing Views after onDestroyView() = crash 14. Use viewLifecycleOwner in Fragment observers 15. Observe LiveData in onViewCreated(), not onCreate() ⚠️ Memory Leaks 16. Leak = long-lived reference to dead object (e.g., Activity) 17. Holding reference to Context = silent leak 18. Listeners not unregistered = strong ref leak 19. Anonymous inner classes hold outer class = leak 20. Use LeakCanary regularly, not just once ⚠️ Performance 21. App slow? First step = check Logcat + Systrace 22. Avoid deep view hierarchies — layout inflation is expensive 23. Watch for overdraw using Dev Options 24. Large bitmaps in ImageView = OOM crash 25. Use RecyclerView.setHasFixedSize(true) if dimensions won’t change ⚠️ Tools 26. Logcat = your best friend in war 27. Use adb shell dumpsys meminfo to check memory use 28. Profile with Android Studio Profiler before blaming Compose 29. Network slow? Inspect with Charles / OkHttp logging 30. Use adb shell am stack to debug backstack weirdness ⚠️ Coroutine / Flow Bugs 31. Not cancelling coroutines = memory leak 32. Crash in Flow? You probably missed catch 33. Wrong dispatcher = UI freeze or slow response 34. Missing debounce = too many requests fired 35. collectLatest cancels previous collector — use wisely ⚠️ UI Debugging 36. Invisible View? Check visibility, layout bounds, and constraints 37. ConstraintLayout bug? Turn on layout bounds 39. Text not showing? Font size overflow or invisible text color 40. Scroll issue? Wrap in NestedScrollView or debug scroll flags ⚠️ Testing & Release 41. Crash only in release? Probably Proguard/R8 42. Enable minifyEnabled true only after setting Proguard rules 43. Always test on at least 2 real devices 44. Debuggable builds hide some crashes 45. ANRs may not appear unless Play Console shows it ⚠️ Production Bugs 46. User says crash but no logs? Integrate Crashlytics 47. App crash at startup? Could be Application class issue 49. App not installing? Corrupted APK or conflicting signature 50. Permissions crash? Happens post-Android 6.0 — always check before use Bonus Flashcard #51 “Most bugs aren’t from bad code. They’re from bad assumptions.” Final Interview Hook “Say this: ‘Before touching the code, I always debug the flow and read the logs backward.’ That one sentence makes you sound senior." Let's Connect Imthiyas Alam

QA Using DevTools Tab by Tab Breakdown If you’re in QA and still just hitting F12 and praying… this one's for you. So what do all these tabs in DevTools actually do? 🔹 Elements: “Why is this button off by 3 pixels?”: Right-click ➝ Inspect. Edit HTML/CSS on the fly. Use Force State to simulate :hover, :focus, etc. Validate ARIA/accessibility tags. 💡 Bonus: Use $0 in Console to reference selected element. 🟡 Console: “Everything looks fine but nothing works”: Open Console ➝ Look for red errors. Run commands like localStorage.getItem(). Use console.log() for custom test debugging. 💡 If Console is clean and the UI is broken, it’s probably async sadness. 🟠 Sources: “The logic’s broken, but no one believes you”: Set breakpoints in JS files. Trigger the action ➝ Execution pauses. Step through with ⏭ or ⬇. Watch variables in Scope. 💡 Use conditional breakpoints to isolate specific edge cases. 🔴 Network: “The frontend says it worked. The backend disagrees.” Click Preserve Log. Trigger your test case. Filter by XHR ➝ Inspect request/response. Check payloads, headers, status codes. 💡 Right-click ➝ “Copy as cURL” to reproduce the call in Postman. 🟢 Performance: “It’s slow” is not a bug. But you can prove it: Click Record ➝ Reproduce the issue ➝ Stop. Look for long tasks, layout shifts, CPU spikes. Zoom in and analyze the flame chart. 💡 Low FPS = “Dev, go fix the jank”. 🔵 Memory: “Why does the app slow down after 4 clicks?”: Take Heap Snapshot. Interact with the app. Take another ➝ Compare. Look for DOM nodes or listeners not getting released. 💡 Manual GC triggers are your friend. 🟣 Application: “LocalStorage is clean” said every liar ever: Inspect localStorage, sessionStorage, cookies. Manually edit tokens, simulate invalid sessions. Use “Clear Storage” to test fresh state. 💡 Perfect for auth & role-based access testing. 🟤 Security: “Is our staging cert valid?"...LMAO: Check cert expiration, issuer, protocol (TLS 1.2+). Spot mixed content or invalid HTTPS. 💡 Your pen tester will love you if you catch this first. ⚪ Lighthouse: “Dev, Google says your code is trash”: Run audit ➝ Choose performance/accessibility/SEO. Review failing items ➝ Copy results to Jira. 💡 Always run in Incognito for clean results. ⚫ Recorder: “Manual test? Nah, let me just click ‘Record’”: Start Recording ➝ Click through the flow. Export as Puppeteer/JSON. 💡 Fast way to hand over repro steps to Devs or Automation. 🧊 Coverage: “Are we really using this 2MB of JS?”: Start recording. Interact with app ➝ Stop. See what code was actually used vs dead weight. 💡 Use this before you argue about page load size. 🚨 Issues: “Here’s a free list of bugs you can claim”: Open tab ➝ Read warnings. Accessibility, mixed content, security headers. 💡 Copy-paste to Jira. Pretend you caught it manually. Drop your favorite underrated DevTools tab below. #QA #QualityAssurance #devtools #softwaretesting #frontend #testlikeapro

DebugSwift: The Ultimate "All-in-One" Toolkit for iOS Debugging 🛠️📱 We’ve all been there — jumping between Charles for network logs, Instruments for memory leaks, and View Hierarchy Debugger for UI issues. What if you could have it all in one place, right inside your app? I’ve been exploring DebugSwift, and it’s a game-changer for both internal dev builds and beta testing. Why it stands out: - 🌐 Network Inspector: Full HTTP/WebSocket monitoring with smart JSON formatting. - ⚡️ Performance Suite: Real-time CPU/RAM/FPS metrics and a thread checker with detailed stack traces. - 🎨 UI Tools: 3D view hierarchy, grid overlays, and a beta feature for SwiftUI Render Tracking (essential for optimizing complex views!). - 📁 Resource Browser: Live editing of UserDefaults, Keychain inspection, and a built-in SQLite/Realm browser. My favorite part? The integration is dead simple: DebugSwift.setup() in your AppDelegate and you're good to go. It even supports custom debug actions, which is perfect for triggering specific app states during QA. In a fast-paced environment like Austin's tech scene, tools that shorten the feedback loop are invaluable. DebugSwift definitely earns a spot in my standard dev stack. 🤠🌵 Check out the repo here: 👇 https://lnkd.in/dspNsx5t #iOSDevelopment #SwiftUI #Debugging #MobileEngineering #AustinTech #SiliconHills #Swift

Debugging Like a Pro: 5 tricks for Finding and Fixing Bugs Faster Every software engineer spends a significant chunk of their time debugging. While it can be frustrating, approaching it systematically can make all the difference. Here are five principles that help me debug effectively: 1️⃣ First Principles Thinking Instead of relying on assumptions, break the problem down to its fundamentals. What exactly is happening? What should be happening? Is there an underlying principle (e.g., data flow, memory allocation) being violated? 2️⃣ Check the Basics Is the server running? Are the configurations correct? Is there a typo in the variable name? Some of the hardest-to-find bugs come from the simplest mistakes. Always verify the basics before diving deep. 3️⃣ Reproduce It Consistently If you can’t reproduce a bug reliably, you can’t fix it effectively. Identify the exact steps or conditions that trigger the issue—this makes debugging structured rather than a guessing game. 4️⃣ Read the Error Messages Error messages often tell you exactly what’s wrong—if you take the time to understand them. Instead of ignoring or Googling blindly, break down what the message is saying and investigate from there. 5️⃣ Identify if It's a Device or Data-Specific Issue Is the bug happening on all devices or just one? Does it occur with all data inputs or only specific ones? Debugging becomes much easier once you determine whether the issue is related to environment constraints (e.g., OS, browser, hardware) or specific data conditions. Debugging is a skill, and like any skill, it gets better with practice. What are your favorite debugging techniques? Drop them in the comments! #Debugging #SoftwareEngineering #ProblemSolving #FirstPrinciples

With new mobile devices constantly entering the market, ensuring compatibility is more challenging than ever. Compatibility issues can lead to poor user experiences, frustrating users with crashes and functionality problems. Staying ahead with comprehensive testing across a wide range of devices is crucial for maintaining user satisfaction and app reliability. I would like to share the strategy that I have used for comparability testing of mobile applications. 1️⃣ Early Sprint Testing: Emulators During the early stages of development within a sprint, leverage emulators. They are cost-effective and allow for rapid testing, ensuring you catch critical bugs early. 2️⃣ Stabilization Phase: Physical Devices As your application begins to stabilize, transition to testing on physical devices. This shift helps identify real-world issues related to device-specific behaviors, network conditions, and more. 3️⃣ Hardening/Release Sprint: Cloud-Based Devices In the final stages, particularly during the hardening or release sprint, use cloud-based device farms. This approach ensures your app is tested across a wide array of devices and configurations, catching any last-minute issues that could impact user experience. Adopting this 3 tiered approach ensures a comprehensive testing coverage, leading to a more reliable and user-friendly application. What is the strategy that you are adopting for testing your mobile apps. Please share your views as comments. #MobileTesting #SoftwareTesting #QualityAssurance #Testmetry