Juan Manuel T.的动态

Embracing the shift from Quality Assurance to Quality Engineering ???????? The transformation from Quality Assurance (QA) to Quality Engineering (QE) is a significant shift in the approach to software quality. Here's a high-level overview of what this transformation entails: Why Transform from QA to QE? ?Quality Assurance traditionally focuses on identifying defects in software by testing at the end of the development lifecycle. It's often reactive and centered around compliance with predefined standards. ?Quality Engineering, on the other hand, is proactive and strategic. It is a rigorous end-to-end quality check approach, addressing issues in each phase of development to ensure the quality of the product and process. Steps for Transformation: Conduct a Discovery Review: Assess the current state of QA processes and identify areas for improvement. Create a QE Roadmap: Define an end goal and milestones for the transformation, focusing on people, processes, tools, and metrics. Upskill Your Team: Transition roles to support expanded testing techniques by reskilling their existing team to make a successful QA to QE. Benefits of Moving to QE: Faster releases with Agile and DevOps methodologies. Shift left approach, integrating testing with development for early bug detection. Continuous integration (CI) and continuous delivery (CD) for quicker time to market. Quality Engineering is crucial in today's fast-paced and technologically advanced world. It ensures that the rapid development of applications does not compromise their quality. ? #QualityEngineering #ShiftLeft #Innovation #ContinuousImprovement ?#TechTransformation #DigitalTransformation

Quality Assurance is dead. Long live Quality Engineering. Here's why the shift matters: QA used to be about finding bugs. Now it's about preventing them. The old way: → Developers build → QA tests → Bugs get fixed → Repeat This approach is slow, costly, and ineffective. The new way: → Quality is everyone's job → Testing starts on day one → Automation is key → Continuous improvement Quality Engineering isn't just a rebrand. It's a fundamental shift in how we build software. Here's what it looks like in practice: 1. Shift left Testing starts in the design phase, not after development. 2. Automate everything Manual testing is slow and error-prone. Automate as much as possible. 3. Continuous testing Don't wait for a "QA phase". Test constantly throughout development. 4. Data-driven decisions Use metrics to identify areas for improvement, not gut feelings. 5. Cross-functional teams QE isn't a separate department. It's integrated into every team. The results? → Faster releases → Higher quality → Happier customers → Lower costs But here's the catch: This shift requires a culture change. It's not just about new tools or processes. It's about changing how we think about quality. Are you ready to make the shift? Or will you be left behind with outdated QA practices? The choice is yours. #qualityengineering #softwaretesting #devops

?? Transforming QA into a Strategic Partner?? In today's fast-paced development landscape, we're shifting Quality Assurance from a mere final checkpoint to a vital strategic partner in product development. This evolution is not just about speeding up timelines—it's about fundamentally enhancing the effectiveness and impact of our projects. Is QA destined to remain in the shadow of software development? ?? I believe the answer is a resounding no! Innovative Tools & Methodologies: With the advent of new tools and methodologies, QA leaders are becoming integral contributors to the development process. They are now involved from the beginning, designing comprehensive plans that guide engineering efforts effectively. Enhanced Collaboration: This proactive approach fosters faster, more efficient development cycles, ensuring seamless collaboration between engineering and QA. Every feature is rigorously tested and validated, guaranteeing top-notch product quality. Strategic Integration: By embedding QA into the core of product strategy, we empower QA leaders to drive project success. This transformation enables teams to deliver more reliable and robust software solutions at a quicker pace, ultimately boosting customer satisfaction and competitive advantage. Are you ready to embrace this transformative shift in QA? #QALeadership #QualityAssurance #SoftwareDevelopment #ProductManagement #Innovation #Collaboration #StrategicIntegration

?? Continuous Integration and Continuous Deployment: QA Strategies for CI/CD Pipelines ?? 1. Automated Testing ????: Integrate unit, integration, and UI tests to catch bugs early. ??? 2. Continuous Monitoring ????: Use automated alerts to detect anomalies in real-time. ???? 3. Robust Test Environments ?????: Mirror production to ensure accurate test results. ???? 4. Collaboration and Communication ????: Promote teamwork between dev, QA, and ops teams. ???? 5. Feedback Loops ?????: Implement quick feedback to make informed decisions and improve processes. ???? By integrating these QA strategies into your CI/CD pipelines, you enhance software quality and speed up delivery! ?????? ?? Ready to elevate your digital projects? Contact us today to learn how we can assist you in achieving excellence in software quality. Visit https://www.qamentor.com/ for more information. Let’s make user retention a priority! ?? #QA #SoftwareTesting #CICD #ContinuousIntegration #ContinuousDeployment #Automation #QualityAssurance #DevOps #TechTrends #Testing #SoftwareDevelopment #Innovation #Efficiency #Agile #Tech #Monitoring #Collaboration #Feedback #BestPractices #Dev #Ops #CI #CD #TechCommunity #Productivity #TechTips #Software #Engineering #Development #ContinuousImprovement #AutomationTesting #TestingStrategy #Quality #Reliability

?????????????????????????? ???????? ???????????????? ?????????????? → ?????????????? ?????????????????? → ?????????????? ?????????????????????? Recently, Brie Ransom made a bold statement in her blog QUALITY BOSS: "Quality Engineering serves as an umbrella term, encompassing the entire company’s culture and attitude toward quality and testing, including processes, best practices, metrics, and KPIs. QE is about enabling quality from start to finish rather than assuring quality at the end." (Read the full article here: https://lnkd.in/dzh2kHg4) At OKAY\QA, we couldn’t agree more with Brie. We’ve always championed this approach, particularly for customers committed to embedding quality assurance from the very beginning of software development. Our team, not just testers but QA Engineers, embodies this shift towards a more holistic approach to quality! The truth is: The transition from Quality Assurance to Quality Engineering, when fully embraced by both the external QA team (like OKAY\QA) and the commissioning client, represents a fundamental change in how we handle software quality. This shift redirects the focus from end-of-cycle testing to integrating quality throughout the entire development process—a pivotal turn in software testing methodology. By adopting this mindset, we break down silos, enhance collaboration across teams, and ensure quality becomes a shared responsibility. This approach not only results in higher-quality software but also fosters a culture of continuous improvement and excellence. In essence, this evolution transforms QA professionals from gatekeepers to enablers of quality. Thank you, Brie, for your insights. It was an excellent read! P.S. If you’re seeking an experienced team of seasoned QA Engineers as a partner in QA, let's connect — just drop a line to our Account Relationship Manager Arthur. #OKAYQA #TechTrends #QualityAssurance #QualityEngineering #SoftwareQuality #ProductLifecycle #Innovation

?? Why Automation is Essential in Software Quality Assurance (SQA) ?? In today’s fast-paced tech landscape, automation in SQA is more crucial than ever. Automation empowers teams to deliver higher-quality software faster, efficiently managing repetitive testing processes while maintaining accuracy. Here’s how automation can transform your SQA strategy: ?? Speed and Efficiency: Automation significantly reduces testing time, allowing teams to execute tests faster and focus on more complex, high-value tasks. ?? Consistency and Accuracy: Manual testing can be prone to human error. Automated tests run precisely the same every time, ensuring consistent, reliable results. ?? Scalability: As applications grow in complexity, automated testing provides the scalability needed to handle large test suites and complex environments seamlessly. ?? Continuous Integration and Delivery (CI/CD): Automation plays a pivotal role in CI/CD pipelines, enabling continuous testing and quicker releases without compromising on quality. ?? Cost Savings: While initial setup costs can be high, the long-term ROI of automated testing is significant, saving both time and money in the development process. ?? Want to know more? Connect with me on LinkedIn here to dive deeper into the future of automation in SQA and its best practices! #Automation #SQA #SoftwareTesting #QualityAssurance #Innovation #DigitalTransformation #Technology #SoftwareDevelopment #Efficiency #Scalability #TestingAutomation #ContinuousDelivery #ContinuousIntegration #BusinessGrowth #Entrepreneurship #Programming #DataScience #TechTrends #FutureOfWork #Agile #MachineLearning

"Software quality isn't a cost - it's an investment. ?? Think about this : "A production bug costs 100x more to fix than catching it during design".?? Quality assurance is moved to the start of development with shift left testing, becoming what is called Quality Assistance. In summary, software quality assurance engineers are now leading the way in promoting cooperation, creativity, and quality everywhere—from gatekeepers to enablers. Why QA skills matter for developers??: - Debug faster with systematic testing approaches - Write more maintainable, testable code - Prevent regressions before they happen - Improve code review effectiveness - Better understanding of edge cases - Reduce deployment risks - Enhanced system architecture skills - More efficient problem-solving Technical benefits??: - Optimized CI/CD with early automated testing - Enhanced code coverage from day one? - Parallel unit & integration testing - Reduced technical debt via TDD/BDD - Robust deployment pipelines - More testable architecture Building a Quality Culture?: - Start with leadership buy-in - Train teams in testing best practices - Make quality metrics visible - Reward bug prevention, not just fixes - Celebrate quality wins - Share learnings from incidents - Invest in tools and automation Don't wait for production issues: implement static analysis, SAST, unit tests, and code reviews from sprint zero. Quality is (should be) a DRIVER not a compromise! #SoftwareQuality #ShiftLeft #Testing #DevOps #CICD #QualityCulture"

SQA proactivity is 100% about enhancing product quality. Product quality is 100% about proactive measures. 12 ways SQA's proactivity boosts product quality: 1. Early defect detection Finding issues early saves time and cost. 2. Continuous testing Regular checks ensure consistent quality. 3. Automated testing Speeds up the process and reduces human error. 4. Risk assessment Identifying risks prevents future problems. 5. Real-time feedback Instant feedback helps quick fixes. 6. Root cause analysis Understanding the source of issues prevents recurrence. 7. Performance monitoring Ensures the product meets performance standards. 8. User experience testing Make sure the product is user-friendly. 9. Regression testing Ensures new changes don’t break existing features. 10. Compliance checks Ensures the product meets industry standards. 11. Code reviews Regular reviews catch potential issues early. 12. Collaboration Working with developers ensures better outcomes. Proactivity isn’t a one-time task. But these steps are a solid start. Plan it. Implement it. Monitor it. Because when SQA is proactive, product quality is guaranteed. Follow @Kawser Ahmed for growth insights and strategies! #SQA #ProductDevelopment #SoftwareQuality #DevOps #TestAutomation

Studies show that 60% of defects are discovered post-release of a product. It underscores the critical importance of effective testing in delivering quality software. Inefficient testing not only leads to high defect rates but also results in increased costs, project delays, and a tarnished reputation for both products and teams. A single undetected issue can escalate into significant problems, affecting user experience and trust. Despite the best intentions, QA engineers often encounter common pitfalls during the testing process like: ● Inadequate test coverage ● Unclear requirements, and? ● Insufficient collaboration between development and testing teams. Such mistakes can lead to missed defects and a false sense of security in software quality. By leveraging reliable testing metrics, teams can gain valuable insights into their processes. Metrics like test coverage, defect density, and mean time to resolution can help identify gaps and inefficiencies. They empower teams to make data-driven decisions, prioritize areas needing improvement, and ultimately enhance overall testing effectiveness. Incorporating metrics into the testing lifecycle is not just beneficial; it’s essential for avoiding common pitfalls and ensuring the delivery of high-quality software. When teams embrace a metrics-driven approach, they’re more likely to catch issues early, leading to smoother releases and satisfied users. So, here are a few more metrics for a data-driven testing approach: #TestEngineering #ReliabilityMetrics #QualityAssurance #SoftwareTesting #TestCoverage #SoftwareQuality #PerformanceTesting #AgileTesting #DevOps #ContinuousIntegration