General Discussion

🚨 The European Accessibility Act (EAA) 2025 deadline is coming fast! 🚨 (June 28, 2025 – mark your calendar.) Non-compliance? That could mean serious trouble for your business. So… what is the EAA? Why does it matter? And how can you ensure your digital products meet accessibility standards? In this video, we break it all down:✅ What the EAA is and who it impacts✅ Steps to stay compliant before the deadline✅ How Cypress.io can streamline your testing & compliance process Accessibility isn’t just about avoiding penalties—it’s about creating a better experience for everyone. Stay ahead of the EAA 2025 requirements. Learn how to prepare now. 📌 Watch the video & subscribe for more insights on digital accessibility! P.S. Is your business ready for the EAA deadline? Let’s discuss in the comments! 👇

Please do share your biggest challenge or difficulty when it comes to automation testing. It could be anything—tool limitations, script maintenance, lack of resources, learning curve, or any specific issue you face. Your input will help us understand common pain points and work towards better solutions for automation testing.

Hi Team, I'm unable to log in to my Tricentis Academy account. Could someone assist me with this? Thanks!

Hi folks, I’m focusing on tools and I want to ask the community this: Where do you learn about new tools? I use a lot of different sources which I plan to share, but I’d like to know where you learn about tools. Sharing sources with new learners is going to open their options for what tools to play with, which can only be a good thing. So reply with where you find tools and why you use that source. And, as always, we are grateful for your contribution

We see a lot of news about issues that make it into production. What about the ones we find BEFORE they wreak havoc in the wild? Which bugs are you proudest of finding during testing? Put another way, which bug is your favorite to tell others about finding? What kind of software? How did you find it? Scripted test? Exploratory? Why is the bug your favorite one to talk about?

Are you a tester looking for tools to boost your productivity? Look no further! I’ve curated a YouTube playlist: Chrome Extensions for Testers 🎥. It’s packed with tips on extensions that will transform your workflow, from debugging to performance testing and beyond. ✅ What you'll discover: 🔹 Top Chrome extensions for testing efficiency 🔹 Step-by-step tutorials for setup and use 🔹 Hidden gems to streamline your QA process Whether you're a manual tester or a test automation pro, these tools will help you save time and improve your results. 💡 Check out the playlist and supercharge your testing skills today! 👉 https://www.youtube.com/watch?v=0bri0j9_ztM&list=PLNQq42pqd-rwLSWHlXbq2AvcPiAJjNiEh Let’s make testing smarter, not harder. If you find these tools useful, drop a comment or share your favorite extensions! #SoftwareTesting #ChromeExtensions #QualityAssurance #YouTubeLearning #ProductivityTools #TestingTips

I use a lot of different sources which I plan to share, but I’d like to know where you learn about tools. Sharing sources with new learners is going to open their options for what tools to play with, which can only be a good thing. So reply with where you find tools and why you use that source.

Hi ShiftSync Community! 👋 We'd love to hear from you: and QA in general? 🌟 Share the names and handles of the experts, thought leaders, and inspiring voices you follow. What makes their insights special to you? Whether they are bloggers, YouTubers, LinkedIn Influencers, or podcast hosts, we’re excited to know! 🧠 If they are cool enough, you might see them soon on ShiftSync! 🚀 So, let us know your favorites and discuss it in the comments down below!

Hey folks! I'm really excited to see you in today's ShiftSync webinar 'From Discovery to Automation - a deep dive into BDD'. I would love to hear your take on the following question (well, it's more like two questions in one...) : "According to you, what is the most valuable tool or practice in Behaviour-Driven Development and what makes it so important?”

AI is here and that is a clear fact. We are bombarded daily with content that is either fully or in parts generated by AI. But how good are we are spotting the “fake” content? I did a post a while ago asking how to spot text and was kind of impressed by the responses. Now… can you spot the image? Give it a try

Automation often faces challenges with non-deterministic tests, where external factors like network latency, third-party services, or data inconsistencies cause varying results. These flakiness issues can undermine test reliability and make debugging difficult. What approaches do you use to stabilize such tests? Are there any patterns or strategies you recommend to reduce flakiness and improve overall reliability?

Looking for some courses on security testing. Do you have any in mind that you can recommend? ⁉ Would be interested in Web Security to start with and it can be free or paid.

As QA professionals, we rely on a variety of tools to make our testing more efficient, effective, and organized. But there's always that one tool we turn to in almost every situation—the one that makes our job easier or ensures we deliver the highest quality product. Whether it's an automation framework, a bug-tracking system, or a handy utility for test data management, what’s the one tool you absolutely can’t live without? Why is it so essential in your workflow? Share your go-to tool and how it’s helped you achieve better testing results.

Every QA professional has faced a bug that stands out—a tricky issue that required extra effort, creativity, or collaboration to resolve. Whether it was an elusive edge case, a critical blocker, or a system behavior that just didn’t add up, these experiences often teach us valuable lessons. Share the story behind the toughest bug you've encountered! What made it so challenging? How did you eventually figure it out, and what approach or tool helped you resolve it? This is a great opportunity to learn from each other’s experiences and uncover creative problem-solving techniques in QA.

Hi everyone! 👋 What do you think about being called a 'Software Developer in Testing' (SDIT)? Does that title describe your job accurately, or would you prefer something else?

This is a simple question where I am sure everyone will answer differently and will be amazed of the answers. So what is your answer to this?

I’m pushing myself to make more of an effort to keep up with the latest news and best practices related to software testing. Where do y’all go to get your news? (I already do Twitter lol and please don’t say Apple News- NO!)

When testing large stories with limited time, efficiency becomes crucial. What tools or techniques do you rely on to streamline the testing process? How do these tools help you prioritize critical paths, automate repetitive tasks, and manage test coverage quickly? Additionally, what methods do you use to ensure that testing is thorough despite the time constraints?

After a successful sanity test in the acceptance environment, it's puzzling when code breaks despite no new deployments or changes being made. This situation can be caused by several underlying factors. Potential causes may include environmental inconsistencies, such as differences in configuration settings, server performance issues, or data discrepancies between test runs. External dependencies like third-party services or APIs might also introduce changes that were not accounted for during testing. Additionally, timing-related or concurrency issues may not surface during initial tests but cause functionality to fail under different conditions. Identifying the root cause requires a thorough investigation into both the test environment and any external factors that could impact the system's behavior.

In real-world testing scenarios, it’s common to encounter projects where documentation is incomplete or requirements are unclear, yet the need for thorough testing remains critical. This situation can pose significant challenges for testers, who must rely on limited information to ensure the application meets both functional and business needs. In this discussion, we invite QA professionals to share their approaches for handling such situations. Techniques may include collaborating with stakeholders for clarification, using exploratory testing to uncover edge cases, developing assumptions to create test cases, and leveraging past experience or domain knowledge. The goal is to explore how testers can maintain test quality, reduce ambiguity, and ensure coverage when formal requirements are lacking.

What testing tools are in your current tech stack? Are there any that are a specific requirement for your job?

I'm facing a unique challenge with automated testing of dynamic data in my test suite. We have a system where certain values, like user IDs, timestamps, or API response payloads, change with every execution. These values are unpredictable and can’t be hardcoded in our test scripts. I’ve tried using data-driven testing to handle these values, but the dynamic nature of the data is causing our tests to either fail or pass inconsistently. Here are the key challenges I’m dealing with: Handling unpredictable values (like timestamps) in assertions. Maintaining consistency across multiple test runs when the expected data is generated dynamically at runtime. Comparing API responses that contain dynamically generated values without false positives or negatives. Has anyone dealt with similar issues in their testing framework? What strategies or tools would you recommend to manage dynamic data and ensure stable test results?

Test planning is crucial for ensuring comprehensive coverage, yet certain aspects are often overlooked. In your experience, what is the most commonly missed element in the test planning process? How does neglecting this aspect affect the overall test coverage and quality of the project? Share your insights on how to address this gap and improve the effectiveness of test plans.