Peer-Driven Insights

Quality Assurance

Active Ambassadors in This Topic

Manufacturing, 1k - 5k

Education, 10k+

IT Services, 10k+

Community Posts

Must-have20%

Very important62%

Nice to have13%

Not important at all3%

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No automated tests, and no intention to ever write them4%

No automated tests, but have an intention to write them in the future37%

Writing automated tests after big feature releases23%

Writing automated tests after several sprints18%

Writing automated tests at the end of the sprint4%

Writing automated tests at the end of each user story3%

Ensuring each commit has automated tests3%

Test Driven Development3%

Other (please comment)

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AWS Device Farm28%

BrowserStack27%

Google Firebase Test Lab29%

LambdaTest24%

Sauce Labs11%

Xamarin Test Cloud8%

Other cloud-based testing9%

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Active Ambassadors in This Topic

Chris Oehlerking

Clifton Persaud

Pradeep Rao

Community Posts

What is the most interesting/helpful/unique tool you're using right now that no one is talking about?

Open Response: What SaaS tool could you/your organization truly not live without?

When hiring a software tester, how important is it to you that a candidate is able to read and understand software code? (choose one)

How often / when do your teams write automated tests?

Will all software testing eventually be fully automated, or does manual testing have a permanent role to play in developing usable products?

How are you facilitating the "whiteboard experience" remotely? Are there Zoom integrations or new tools that are helping to replicate that level of collaboration?

How do you maintain quality control when your teams are using GenAI tools for critical tasks? What safeguards - either formal or informal - are in place?

In event driven architecture based on kafka, do you allow "test event" in production topic? If so, how do you effectively manage the downstream impact of the "test event"?

How well integrated is testing into your internal self-service platforms? Do you have any plans to add more QA capabilities?

Any advice for improving the quality of your software team’s pull requests before they head to review? Looking for ways to increase the quality of PRs across the board and reduce the changes needed.

Are you currently using or planning to use one of these cloud-based testing solutions? Choose all that apply.

What’s your opinion on using AI for code review? Do these tools lead to meaningful code improvements, or do they add an unnecessary step to the code review process?

What would you teach to a team who knows little about Engineering and what's needed to create a product/service from scratch in Engineering? I was recently hired for an early-stage startup and want to help the founding team see the real scope of what we will be facing.

What does internal software development QA look like in your organization and is it successful? Embedded, federated, centralized, etc..?

We often strive to continuously look for 'efficiency in Quality Management' without compromising the competency and Quality performance. Do you have experience with outsourcing QA or some elements of QA functions? Can someone share references for such service providers in the European region?

Have you ever run into false positives from a static source code analysis tool? What’s the best way to identify those so devs can focus on fixing real issues?