Recently active topics

🎓 Course Overview: Generative AI for TestersGenerative AI is revolutionizing software testing, transforming it from a futuristic concept into a present-day necessity. To equip testers with the skills needed to navigate this evolving landscape, Tricentis presents the Generative AI for Testers course. This interactive mini-course is designed to help testers understand, apply, and benefit from Generative AI in their testing processes.📁Structure of the course: Introduction to Generative AI for Testers Deep Dive Leveraging LLMs and Mastering Prompt Engineering Implementation Strategies and What Comes Next🧠 What You'll LearnBy the end of this course, you will be able to: Explain the fundamentals of Generative AI, how it differs from traditional AI, and its role in software testing. Identify and apply AI-powered testing techniques, including prompt engineering, in-context learning, and model selection. Evaluate the advantages, limitations, and biases of Generative AI models to make inf

Performance Testing & Distributed Load Testing CourseBy: Japneet Sachdeva Course description:This hands-on course gives you a complete, practical introduction to performance testing; from software installation and basic test design to advanced, production-grade distributed load testing using Docker.You’ll learn how to create realistic user scenarios, test APIs end to end, validate responses, work with data-driven inputs, and run tests efficiently from the command line with detailed HTML reports.By the end, you’ll know how to design, execute, and analyze large-scale load tests and have the skills to apply JMeter confidently in real QA, DevOps, and engineering environments.📁Structure of the course:  Download and Installation Understanding Performance vs Load vs Stress Testing JMeter GUI Overview Thread-Groups Overview in JMeter Samplers Overview in JMeter First Load Test Execution JMeter Timers JMeter Assertions HTTP Managers Overview in JMeter CLI Execution using

MCP Certification course by Karthik K.K. COURSE INTROCourse description:This video series introduces QA professionals to the Model Context Protocol (MCP) — a powerful way to connect testing tools, data sources, and automation workflows with AI-driven efficiency. Across ten practical sessions, you’ll learn how MCP simplifies integration challenges, streamlines test execution, enhances reporting, and makes QA assets — from databases to UI tests — more accessible and maintainable. Whether you’re looking to modernize your existing frameworks or prepare for the future of AI-assisted testing, this course gives you the knowledge and hands-on skills to bring MCP into your QA practice.📁Structure of the course: Introduction Installing MCP Server UI Testing With Playwright MCP Server UI Testing VS Code CodeGen API Testing With MCP Server DB Testing With MCP Server File System MCP Server BDD Test Case Agent Test Management MCP Server Future State of MCP Server​​​​​✅CertificationComplete all chapt

In the ever-evolving world of software testing, AI is opening up transformative possibilities for QA teams. Tricentis has leveraged its years of AI innovation (from Vision AI to self-healing tests) to introduce Agentic Test Automation – an AI-powered “co-worker” embedded in Tricentis Tosca that can autonomously generate and execute test cases from natural language descriptions. This advanced capability is poised to revolutionize how QA engineers and software testers design automated tests, addressing modern challenges of scale and complexity in software delivery.Modern Testing Challenges and the Need for AI AssistanceDevelopment cycles are accelerating and codebases are growing larger than ever. With the advent of generative coding tools, developers can produce code at unprecedented speed – but this leaves QA teams scrambling to test more functionality in less time. Moreover, AI-generated code can introduce unexpected issues and variations, demanding smarter testing strategies. Traditi

Ever had a tiny app change break a ton of tests? Frequent updates can turn test maintenance into a headache. This week’s tip spotlights Tosca’s AI-powered impact analysis – a smart way to pinpoint which tests matter most after each change. Instead of rerunning or fixing everything, you’ll focus on what’s actually impacted. The result? Less test bloat, faster feedback, and happier QA teams.What is AI-Powered Impact Analysis?In a nutshell, it’s Tosca’s capability to automatically analyze changes in your application and identify the high-risk areas and tests. Tosca uses predictive analytics on things like code changes, commit history, and past defects to figure out which tests are most likely to uncover new issues. In other words, the tool asks: “Given what changed, which tests should we run (or update) first?” This smart filtering is often called risk-based test optimization. By running the right tests first, you get quick feedback on critical parts of your app – what used to take hours

🎉 Announcing Our User of the Month for November 2025: ​@sanaanwar318! 🎉We are delighted to name ​@sanaanwar318  as our User of the Month for November 2025! 🏆​@sanaanwar318  has consistently excelled in our community, offering invaluable insights, well-thought-out solutions, and unwavering support to fellow members. Her dedication and expertise have significantly enriched our knowledge base and aided many in overcoming challenges.Why ​@sanaanwar318 Stands Out:📝 Exceptional Contributions: Authored insightful and practical posts with valuable tips and advice. 🤝 Community Spirit: Always ready to help, fostering a sense of collaboration and teamwork. 👨‍🏫 Expertise: Demonstrates deep technical understanding, guiding users through complex scenarios effortlessly. 🚀 Innovation: Introduced innovative ideas and methodologies that benefit the entire community.As a token of our appreciation, ​@sanaanwar318  will receive:A special gift box with exclusive goodies (or a giftcard). A badge to d

IntroductionSAP applications are the digital backbone of many enterprises, but testing changes in SAP’s ABAP code can be daunting. A typical SAP system contains tens of millions of ABAP objects (standard plus custom), making it impractical to retest everything for each update. The result? Teams either test too much (wasting time on unchanged areas) or test too little, risking that untested changes slip through. Tricentis SeaLights for ABAP is a new SaaS solution designed to solve this challenge by bringing “quality intelligence” to SAP testing. It automatically pinpoints what needs testing and identifies gaps, so QA engineers, developers, and test managers can focus on what matters most and deliver high-quality releases faster.The Challenge of Untested ABAP ChangesTesting SAP updates is complicated by limited visibility into what parts of the system are actually exercised by your tests. With millions of ABAP objects and configurations in play, it’s hard to know which changes in a trans