Testing Strategies & Methodologies

I.m doing Manual Testing since more than a year and now I wanna advance my career in QA field so please suggest me best way to advance my career. what should I do for Automation testing, load testing etc..

What is a circuit breaker and how can we utilise it for quality assurance?

As software evolves so should our identified risks and tests, to keep them up-to-date, valuable, and relevant. Do you regularly review your risks and use this information to update your existing tests? How do you do this for your project? or organization?

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Testing inexplicable fuzzy AI systems requires adapting our testing approaches and methods. What challenges are you facing? Where do you struggle? What strategies have you found effective? Share your challenges, experiences, fears, and insights.

Before SoW, if client requested Employer to provide some measures like Test Estimations or Strategies with in TestOps, what would be the best and quick way to provide the information on Test Estimations and strategic testing techniques to the client?

Ever been in a meeting where a bug was found, and all eyes turned to QA? Imagine a new feature goes live, but a critical bug slips through. Customers start complaining, and suddenly, QA is under fire. But when the team looks deeper, they realize the issue came from unclear requirements and a last-minute code change. QA isn’t the last line of defense—we’re part of the whole development process. If a bug makes it to production, it’s not just a QA failure; it’s a team failure. Instead of pointing fingers, let’s ask: How can we improve collaboration to catch issues early? Have you been in this situation?

In software testing, a non-reproducible bug represents a complex challenge where: A reported issue cannot be consistently recreated The bug appears sporadically Traditional testing methods fail to capture the exact scenario Any suggestions must appreciated 🙂

Hello.I was thinking of making a side project and would require your input. What’s the one Cypress plugin (or testing tool feature) you wish existed yesterday? 🤔🚀 If you could add any missing functionality to Cypress, Playwright, Selenium, or any other test automation framework, what would it be? Maybe a: ✅ Smarter element locator strategy 🔍 ✅ AI-powered flakiness analyzer 🤖 ✅ Better test reporting & visualization 📊 ✅ Seamless integration with CI/CD pipelines ⚡ Let’s crowdsource ideas! What’s the biggest gap in your testing stack that a plugin or library could solve?

"Security testing isn’t just about preventing hacks. It’s about earning trust." (Ever heard of a more important KPI?) Here’s the truth:Most companies only think about security after a breach.By then, it’s too late. Here’s a better approach:1️⃣ Think like an attacker. If you can spot vulnerabilities before they do, you’re already ahead. 2️⃣ Make it a habit, not a project. Security testing isn’t a “one and done.” It’s a mindset. 3️⃣ Involve your entire team. Your developers, testers, and even marketing teams can play a role in strengthening your defenses. A breach costs more than just money.It costs reputation, customer trust, and sometimes even careers. Here’s my challenge to you:What’s one thing your team can do this week to improve security?Drop your ideas in the comments. Let’s inspire some action.

It is challenging to evaluate the results of GenAI applications because there are no expected results, only results from an acceptable range. For summarization GenAI use cases, what are the most common evaluation metrics?

We’ve almost made it to the end of 2024! What are your predictions for 2025? If you could response in the format: Title: a thought provoking title Excerpt: (summarise it in 1 sentence) Description: (1-3 paragraph description)

People always make trends posts about 2024 2025 etc and they all have the same trends on them. AI Automation Performance etc … So my questions towards you is what are you seeing right now as a trend? What’s popped up more often? For me it would be A11Y - Accessibility testing, I see more and more people investing into it, many posts of it online. It might just be due to me not having much experience in it compared to other things. What are you spotting?

1. Which approach in Generative AI is most effective for reducing false positives in automated test results? A. Supervised learning with predefined labels B. Reinforcement learning with continuous feedback loops C. Rule-based automation integrated with AI D. Traditional statistical analysis 2. When leveraging Generative AI for code suggestions in a CI/CD pipeline, what is the key risk associated with hallucinations in Large Language Models (LLMs)? A. Excessive computational overhead B. Generation of incorrect or insecure code snippets C. Increased test execution time D. Lack of cross-platform compatibility 3. In the context of DevTestOps, what makes synthetic data generation using Generative AI superior to traditional data augmentation? A. Ability to mimic real-world scenarios without bias B. Faster generation time with minimal resources C. Elimination of manual effort in dataset creation D. Enhanced visualization for data analysis 4. Which is the most significant barrier to scaling Ge

As test suites grow, maintaining automated tests and handling script breakages can become challenging, especially with frequent application updates. I've read about AI-based tools that automate test maintenance and implement self-healing capabilities, which adapt scripts to changes in the UI or functionality. Could you share your experiences using these AI-driven solutions for automating test maintenance? Specifically, I'm curious about: How effective they’ve been in reducing manual intervention for script fixes Any free tools or open-source alternatives you've tried and their limitations How these tools integrate with existing automation frameworks I’d love to hear about any success stories or challenges you’ve faced while using them!

How do you setup up a test automation project? Do you have a template that you use? Do you google each time you want to start. Do you reach for the documentation? I am curios what is your approach. Also, here is a link to a new resource I found on the topic that might help organize the test project creation, especially if you are just starting out

You're testing a payment gateway API responsible for handling financial transactions. Its primary function is to ensure that funds are transferred only when the account balance of the user is sufficient. In the test cycle, the following scenario was observed. Two simultaneous requests from two different devices for the same transaction-drawing money, for example, ₹10,000-an API processes both requests, deducting ₹20,000 from the account while it holds only ₹15,000.

What do you believe is the most significant factor contributing to faster and higher-quality software releases? Please select the option that you consider most important.

It sparked various questions about the process behind what to do with critical production bugs. I’m curious to know: What steps do you take when you discover a critical bug in production? Who owns what and who does what? Who is kept in the loop? What announcements are made? What official documentation supports the process? What’s your experience contributing to disaster recovery processes and documents? What did you learn from the critical bug in production? What did you do differently for the next one? (if indeed there was “a next one”)

I Learned the Course of QA Automation Testing using Selenium about a year ago but still I didn ‘t get a Job. Please assist me to Start Career as a Fresher. of Automation Tester.

Which test automation tool has the most weekly downloads according to npmtrends? A) Cypress B) Playwright C) Puppeteer

I’m curious to know what’s the one QA tool that has saved you the most time during your testing process? Whether it’s for test automation, bug tracking, performance testing, or something else, I’d love to hear what tool you can’t live without and why it stands out to you.

When faced with testing large, complex tickets at the last minute, it’s easy to miss important edge cases, which can lead to undetected issues. How do you make sure you thoroughly cover all possible scenarios, including edge cases, given the limited time? What strategies or tools do you use to track these cases, and how do you prioritize the most critical ones to ensure comprehensive testing under pressure?