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Creating Reliable and Scalable Test Automation Frameworks
Creating Reliable and Scalable Test Automation Frameworks
Playlist
- Client Feedback & Quality Assurance in Web Design for Agencies
- Democratise Automation to Build Autonomy and Go-To-Market Faster
- Testing AWS applications locally and on CI with LocalStack
- Man Vs Machine: Finding (replicable) bugs post-release
- Shift-Left: Accelerating Quality Assurance in Agile Environments
- End-to-End Test Automation with Provar
- Fast-Tracking Project Delivery:Tips from a Recovering Perfectionist
- Crawl, Walk, Run...Fly - Take your build and test pipeline to the next level
- Revolutionizing Testing with Test Automation as a Service (TaaS)
- How Codemagic Mitigates Challenging Mobile App Testing Environments
- Fast and Furious: The Psychology of Web Performance
- Faster Feedback with Intelligent CD Pipelines
- Navigating the Future of Quality Engineering in 2024
- Using AI for Effective Test Generation
- Automated Test Execution Reporting
- How To Speed Up Our Work During Web Automation
- Building Products that Drive Better Results with Shortcut
- Shifting Accessibility Testing Left with LambdaTest and Evinced
- Testing Tomorrow: Unravelling the AI in QA Beyond Automation
- Flaky Tests from an Engineering Perspective
- Future Trends and Innovations in Gen AI for Quality Engineering
- Mastering User-Centric Mindset Unlocking Your Potential as a Tester
- From Brainwave to Inbox: Avo's Whimsical Adventure through AI-Powered Test Automation
- The Myth of βBest Practiceβ
- Impact and Potentials of GenAI to the IT Engineers
- Innovation Accelerated: The Intersection of AI and Quality Engineering
- Optimize Issue Tracking: Integrating SpiraTeam with LambdaTest
- The Power of Generative AI in Reducing Maintenance and Enhancing Speed
- Rethinking the Role of QA Profile
- Building Quality Software: AI-based testing approach with Jira and QMetry
- In-Depth with Playwright: A Modern Testing Framework
- Supercharge Your Data Quality Testing with AI/ML
- GenAI for Quality Transformation
- Creating Reliable and Scalable Test Automation Frameworks
- Upskilling Quality Engineers: A Success Story in SDET Transformation
- AI-Readiness: Are You Building the Future or Falling Behind
- Leading the Charge in Software Quality with Zero Bug Revolution
- Building a Test Automation Framework for TV Apps & Scaling at FX Digital
- Building High-Quality Teams: People, Process & Proof for QA Leadership
- Why Do We Have Bugs, and Why Do They Happen?
- GenAI in QA: Tiket's Approach to Evolving Quality Engineering
- Collaborative Remote Testing: How to Set Up & Run Effective Ensemble Sessions
- Simulating Real-World Scenarios: Balancing Precision and Practicality in Testing
- Building AI-Driven Test Automation Frameworks for QA Excellence : Challenges with Agile, DevOps, and AI-driven Testing
- Reinforcing Cybersecurity Beyond Functional Testing
- Building AI-Driven Test Automation Frameworks for QA Excellence
- Shift Happens: Driving Quality LeftβA Real-World Journey Across Five Teams
- Transitioning from Manual Testing to Test Automation with Cypress
- See Why Your Testing Framework Is Incorrect, Incomplete, or Inefficient β And Iβll Show You Why
- Quality First: Implementing Shift-Left Testing for Future-Ready Products
- Building Resilient Quality Engineering Teams: Exploring Emerging Trends and Best Practices
- Testing LLMs: Why It Matters, Common Data Challenges, and Proven Testing Strategies
- Observability in Software Test Modernization
- AARRR...Are you Test-Ready for AI? Discover If AI Can Transform QA Process
- Integrating Testing into Agile Workflows: Enabling Faster, Smarter Software Delivery
About The Video
Watch our latest episode of the LambdaTest Experience (XP) Series featuring πππ«π² πππ«π€ππ«, Senior Test Architect at Betway Group. In this session, Gary discusses essential best practices, architectural considerations, and key design principles aimed to help software testers and automation engineers build robust, scalable, and reusable test automation frameworks. Donβt miss this opportunity to enhance your automation strategies and strengthen your testing projects.
Video Chapters
00:00 Welcome!
02:29 Garyβs Journey in the QA Industry
05:00 Implementing Test Automation Frameworks
07:55 Collaboration between Developers and Testers
10:50 Influencing Application Development with Framework Design
14:10 Building Collaboration and Responsibility for Quality
16:15 Onboarding Teams to New Frameworks
19:18 Mastering New Test Automation Frameworks
20:57 Incorporating Monitoring and Alerting Mechanisms
24:05 Future-Proofing Test Automation Frameworks
20:05 Conclusion
Key Topics Covered
Introduction
The video starts by highlighting the need for upskilling in quality engineering, focusing on the transition from manual testing to technical roles like Software Development Engineers in Test (SDETs). It emphasizes the evolving landscape of software testing and the growing importance of automation and technical proficiency.
Patented Innovation in AI/ML Models
A significant part of the discussion centers around patented innovations that help train, validate, and monitor AI/ML models within quality engineering. The speaker talks about the challenges of maintaining model accuracy over time and the need for continuous monitoring to prevent issues like model drift, stressing the importance of ensuring high-performance models for consistent testing results.
Challenges in Modern Quality Engineering
The speaker dives into the complexities of quality engineering today, especially with the integration of AI and automation. They discuss key strategies to manage these challenges, such as adopting cross-functional collaboration, using automation for repetitive tasks, and leveraging AI/ML technologies to improve the efficiency and effectiveness of testing processes.
Growth in Quality Engineering
Personal and professional growth is highlighted, encouraging quality engineers to continuously learn, network, and embrace new technologies to keep pace with the fast-evolving industry. The importance of keeping up with technological advancements to remain competitive is underscored.
Driving Innovation and Overcoming Resistance
This segment emphasizes how innovation can be driven within quality engineering teams while managing resistance to change. The speaker shares insights into creating a culture of innovation and collaboration within organizations to encourage the adoption of new tools, processes, and methods.
The Potential of Generative AI (GenAI)
Generative AI is discussed as a transformative tool in quality engineering, with applications like automating script generation and improving test coverage. The speaker highlights how AI technologies can reduce human error and increase the efficiency of testing processes, making them more scalable and reliable.
Conclusion
The video wraps up by encouraging quality engineers to stay competitive through constant learning and embracing innovations like AI and automation. The speaker urges the audience to focus on upskilling and leveraging modern tools to meet the demands of the ever-changing technology landscape.
Related Blogs & Hubs
35 Best Test Automation Frameworks for 2024
What is Automation Testing: Benefits, Strategy, and Best Practices
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