Quality Assurance Testing

Understanding the Basics: Smoke, Sanity, and Regression Testing As a QA, it's essential to grasp the key differences between smoke, sanity, and regression testing. Here's a quick guide to help you out! Smoke Testing: Think of it as a "quick check". Smoke testing ensures that the critical functions of an application work after a new build. If the primary features aren't working, there's no point in further testing. It's like checking if the car starts before a road trip. Sanity Testing: Sanity testing is more focused and narrow. After receiving a minor code change, sanity testing verifies that the specific bug fixes or new features work as intended. It's like making sure your new GPS system works correctly before using it on your trip. Regression Testing: This is a comprehensive approach to ensure that recent code changes haven't adversely affected the existing functionality. It involves re-running previously completed tests. Imagine checking all the car’s features to ensure everything is still functioning after installing a new stereo. Example: Smoke Test: Checking if the login page loads and the user can log in. Sanity Test: Verifying that a bug fix for the login button works correctly. Regression Test: Re-testing the entire login process and related features to ensure no new issues have been introduced. Understanding these testing types helps ensure software quality and a smooth user experience! #QualityAssurance #Testing #QATips #JuniorQA #SmokeTesting #SanityTesting #RegressionTesting #SoftwareTesting #TestAutomation #QACommunity #share #knowledge

Stop wasting money on Quality Control... ..and start investing in Quality Assurance instead! I recognize that starting with end of the line checks is a natural first step when there are no controls or processes in place. However ↳ QC is like treating symptoms, not the disease. ↳ It catches defects AFTER they've occurred. ↳ You are paying for mistakes, not preventing them. Quality Assurance is what you need. Here's why: → It prevents defects before they happen. → It saves money in the long run. → It boosts customer satisfaction. How to start? Step 1: Map your current process ↳ Identify critical points where defects occur Step 2: Implement in-process checks ↳ Add measurement and verification steps at key points Step 3: Train operators on quality standards ↳ Empower your team to catch issues early Step 4: Use statistical process control (SPC) ↳ Monitor process performance in real-time Step 5: Establish feedback loops ↳ Use data to continuously improve your process Don't let outdated practices hold you back. Shift from reactive to proactive quality management! **** Follow me Angad S. for more!

𝗨𝗻𝗱𝗲𝗿𝘀𝘁𝗮𝗻𝗱𝗶𝗻𝗴 𝗞𝗲𝘆 𝗥𝗼𝗹𝗲𝘀 𝗶𝗻 𝗦𝗼𝗳𝘁𝘄𝗮𝗿𝗲 𝗧𝗲𝘀𝘁𝗶𝗻𝗴 𝗮𝗻𝗱 𝗧𝗵𝗲𝗶𝗿 𝗖𝗼𝗻𝘁𝗿𝗶𝗯𝘂𝘁𝗶𝗼𝗻𝘀 𝘁𝗼 𝗤𝘂𝗮𝗹𝗶𝘁𝘆 𝗔𝘀𝘀𝘂𝗿𝗮𝗻𝗰𝗲 ✴️ 𝗦𝗗𝗘𝗧 - Software Development Engineer in Test: 𝗦𝗗𝗘𝗧s are skilled in both development and testing. They write automated test scripts, develop testing frameworks, and often work on building tools that improve the testing process. They are also involved in writing unit tests, integration tests, and performance tests. - 𝗖𝗼𝗻𝘁𝗿𝗶𝗯𝘂𝘁𝗶𝗼𝗻: 𝗦𝗗𝗘𝗧s bridge the gap between development and testing by automating repetitive tasks, enabling faster feedback loops, and ensuring the software meets both functional and performance standards. 𝗤𝗘 - Quality Engineer: Quality Engineers focus on the quality processes across the software development lifecycle. They are responsible for defining quality standards, monitoring metrics, and ensuring that quality is maintained throughout. They often look at testing holistically and incorporate both manual and automated strategies. - 𝗖𝗼𝗻𝘁𝗿𝗶𝗯𝘂𝘁𝗶𝗼𝗻: QEs work to ensure that quality is "baked into" the development process rather than just tested at the end. By setting up proper processes, they help prevent defects early, improve collaboration across teams, and maintain high standards for the overall product quality. 3. 𝗧𝗘 - Test Engineer: Test Engineers are mainly involved in executing tests both manual and automated to find bugs. They focus on ensuring that the product meets the specified requirements. They design and execute test cases, document defects, and verify fixes. - 𝗖𝗼𝗻𝘁𝗿𝗶𝗯𝘂𝘁𝗶𝗼𝗻: TEs play a critical role in finding defects before release. By executing well-designed test cases, they validate the functionality, usability, and stability of the product, helping to ensure that it meets user expectations. 4. 𝗤𝗔 - Quality Assurance: Quality Assurance professionals focus on the overall quality management of the software process. Their role involves process auditing, setting quality benchmarks, and ensuring compliance with standards. QA is often more process-focused and oversees that the best practices are followed. - 𝗖𝗼𝗻𝘁𝗿𝗶𝗯𝘂𝘁𝗶𝗼𝗻: QA ensures consistency in quality by establishing and maintaining quality processes. They help reduce errors and inefficiencies by implementing best practices across teams, which helps in minimizing risks and maintaining product reliability. 𝗜𝗻 𝘀𝘂𝗺𝗺𝗮𝗿𝘆: ‣ 𝗦𝗗𝗘𝗧 focus on automation and development support in testing. ‣ 𝗤𝗘 ensure quality is integrated throughout the development process. ‣ 𝗧𝗘 are responsible for manual and automated test execution. ‣ 𝗤𝗔 professionals focus on managing and optimizing quality processes. Each role plays a unique part in creating high-quality software, from writing automated tests to ensuring robust quality standards across the development lifecycle. Follow Musfiqur Rahman Foysal for more QA content.

Here’s a hard truth software testers need to embrace: A clean quality assurance report doesn’t mean the job is done. As QA testers, your primary responsibility is to uncover vulnerabilities, not just accept everything at face value. If you’re not thinking about how to break the system, you’re not really doing your job. The key to breaking the system? Dig deeper. Just because the testing tool shows green lights doesn’t mean you should stop looking for bugs. Think about industries like food, aviation, or automotive. Quality testing is non-negotiable there. A faulty airbag or a contaminated food product can have serious consequences. Yet, in software, we often accept sub-quality standards. That needs to change. Software powers so much of our lives now - from cars to flights to everyday apps. It deserves the same rigorous testing that those other industries demand. We need to hold ourselves to a higher standard. Let’s push for quality in our testing processes. The customer experience depends on it, and ultimately, that’s what keeps users coming back.

Are you tirelessly testing your software only to feel like it’s never quite ready? 😫 If you feel this, it’s likely there’s one step out of alignment, and a quick fix changes everything. This happened to me early on - it always felt like I was chasing an unattainable goal of perfect code coverage. But then I learned that testing should begin as soon as there is something to test, not just before release. This proactive approach catches issues early, when they’re easier to fix, and integrates seamlessly into agile workflows. Testing in increments allows for immediate corrections, ensuring that each component functions perfectly as soon as it’s developed. This continuous testing methodology enables real-time feedback and adjustment, which is crucial for rapid development cycles. When features are complete, they undergo rigorous checks to guarantee they meet all requirements and perform as expected. This step is vital for ensuring the software’s functionality and user satisfaction before it goes live. 𝑻𝒉𝒆 𝒕𝒓𝒖𝒆 𝒄𝒉𝒂𝒍𝒍𝒆𝒏𝒈𝒆 𝒍𝒊𝒆𝒔 𝒊𝒏 𝒌𝒏𝒐𝒘𝒊𝒏𝒈 𝒘𝒉𝒆𝒏 𝒕𝒐 𝒔𝒕𝒐𝒑. Setting clear test exit criteria is crucial so you don't find yourself stuck in an endless loop of testing. It's about finding the right balance between thorough testing and efficient project timelines. Do you find your team often tests beyond necessity, or are you confident in your criteria to conclude testing phases? Create your testing strategy to optimize efficiency and efficacy. 📈 #SoftwareTesting #QualityAssurance #AITestingTools

The Future of QA Engineering: 2025 Outlook Key Transformations: • AI integration revolutionizing test generation and maintenance • Shift-left testing becoming standard practice • Security testing gaining critical importance The quality assurance landscape is poised for significant transformation in 2025, driven by technological advancement and evolving development practices. Artificial intelligence integration emerges as a cornerstone of modern testing, revolutionizing test generation, maintenance, and defect prediction capabilities. Testing methodologies continue their evolution toward shift-left practices, embedding quality assurance earlier in development cycles. This transformation accompanies the rise of continuous testing integration and real-time quality monitoring systems, enabling rapid response to potential issues. Essential Skills Development: • AI/ML competencies for automated testing • Security vulnerability assessment expertise • Performance engineering capabilities Technical demands increasingly focus on API testing proficiency and microservices architecture understanding. Security testing gains prominence as cyber threats evolve, requiring QA engineers to develop specialized expertise in vulnerability assessment and penetration testing. Market Trends: • Growing demand for AI-capable QA engineers • Emphasis on DevOps integration • Rise of low-code testing platforms Automation advances through sophisticated low-code testing platforms and machine learning-based solutions. Visual testing tools enhance UI/UX validation capabilities, streamlining the verification of complex user interfaces across multiple platforms and devices. The skill requirements for QA engineers expand beyond traditional testing expertise. Professionals must develop competencies in AI/ML technologies, security testing, and performance engineering. This evolving landscape creates opportunities for specialists who can bridge the gap between traditional quality assurance and emerging technologies. Market indicators suggest sustained growth in demand for QA engineers, particularly those equipped with AI capabilities and security expertise. The integration of automated testing within DevOps frameworks continues to reshape the role, emphasizing the need for continuous learning and adaptation in this dynamic field.

What’s the difference between testing and Quality Assurance? Many use the terms interchangeably, but testing and QA play different roles in the software development lifecycle. Testing is about detecting defects—it ensures that the product functions as expected. Quality Assurance, on the other hand, is a preventative measure, focusing on establishing processes to avoid defects from the start. By implementing shift-left approaches, like SQA²’s QA 2.0 methodology, QA begins at the requirements phase, ensuring that quality is built in from day one. A common cause of defects lies in incomplete or unclear requirements; QA involvement early on ensures that specifications are clear, accurate, and comprehensive. In startups or agile environments, where speed and adaptability are crucial, integrating QA from the beginning minimizes costly rework, accelerates delivery, and improves product quality. Partnering with a QA organization like SQA² allows companies to maintain high standards, even in fast-paced settings. How early do you involve QA in your projects, and how has it impacted your development process?