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3 Lessons from big software failures

We all learn from mistakes. Ideally, we learn from someone else’s mistakes. Here are several epic software failures and their takeaways.

Cloud-based testing transforms your QA

Most people use their own infrastructure in testing. This is fine for manual testing, but it can't scale. This is where cloud-based testing helps you

How to deliver a technical presentation to a non-technical audience

You need to explain a topic that'll make your audience's eyes glaze over. No problem. Just follow these instructions in your technical presentation.

So you want to become a software QA professional?

Are you considering a career path in software QA? Here’s what you need to know to get started.

5 reasons why QA needs humans

How to incorporate AI and Machine Learning into QA

AI and Machine Learning can make life easier for software testers, but they’re no quality-assurance panacea. Here’s what these technologies are best suited for.

A glossary of testing terms

Check out our software testing terminology guide to expand your professional vocabulary!

The myth of 100% code coverage

Ask what code coverage should devs aim at, and many will say 100%. In this blog, we explain why this mythical goal can lead to a false sense of security.

Behavior-driven development. Who needs Gherkin?

Behavior-driven development is a popular agile methodology. Here, we discuss how to do BDD without the need to learn the Gherkin language.

Data-driven testing – when does it help you?

Data-driven testing is increasingly common in test automation. Here, we explore common scenarios and explain the impact it can have on your testing efforts.

Functionize Honored as a Finalist in the 2019 CRN® Tech Innovator Awards

How To Implement Agile Test Automation

Agile test automation is an essential requirement for truly agile delivery of large projects. Here we give some tips on how to implement it properly.

Automated functional testing 101

Read the article to find out what is automated functional testing and how Functionize can help you with it.

Selenium functional testing. A brief intro.

Selenium functional testing, like any other, involves confirming your software actually works. For UIs Selenium is the usual approach.

Agile software testing – removing the delivery bottleneck

The agile manifesto transformed SW development. However, has lagged behind. Here, we see how agile software testing removes the delivery bottleneck.

Alpha testing vs Beta testing. Why they matter for you

People often use "alpha vs beta testing" terms, but do they understand what they mean? Read on to find out exactly what they are.

What are CSS selectors and how they are used in Selenium.

Selenium reuses CSS selectors to choose elements in the UI. Here, we look at what CSS selectors are and some of the pitfalls of relying on them.

Functionize is the winner at the 2019 AIconics Awards

Higher productivity with Cloud-based DevOps

Via cloud based DevOps your development teams can achieve greater business impact, effectiveness, drive substantial and productive IT transformation

CI/CD, a quick 101 for managers

What is CI and CD? It is the process of releasing new software features as they are developed. Find out what this really means and what tools it requires

5 Roadblocks to DevOps Success

DevOps success means releasing new features that don't break. But automated testing creates roadblocks to this. Learn what the 5 main problems are

How to maximize your customer experience

Good customer experience is key. Decisions taken by IT executives have a huge impact throughout the SDLC. So learn how to improve customer experience.

Machine learning and the humans behind the screen

Machine learning is at the heart of AI. But most ML models need to be trained. Here, we see how humans are essential for creating good training data.

Agile model software testing – unblock your release

Finding a big bug just before release can delay you by weeks. The agile model in software testing can be the solution. But this needs autonomous testing.

What is hindering your software deployments?

Software deployments are often delayed because agile teams are using the wrong agile software testing tools, lack the right team structure and leadership.

What is smart object selection?

Object selection is key to test automation. We show the problems with Selenium's dumb selection and show how smart object selection improves test coverage.

Should you build or buy a test automation framework?

In this article, we explore many factors to guide you in the approach toward making a buy-or-build-automation framework.

Functionize Recognized on CRN’s 2019 Emerging Vendors List

Emerging Vendors are vetted and selected by CRN’s editorial team. They provide state-of-the-art technology to help solution providers meet complex IT market demands.

How to test serverless applications

Serverless computing is growing increasingly popular. But how do you make sure your serverless testing applications are reliable? How do you actually test them?

5 good reasons to invest in product testing

Releasing buggy software is bad. But good testing is expensive. We show how cloud-based automation testing tools can resolve this conundrum.

Eric Sargent joins Functionize to lead sales

5 ways to sell QA and testing to your boss

Every year, QA Managers have to fight for budget. Read 5 compelling arguments that will save them money and convince them to use cloud testing as a service.

7 ways to increase your QA coverage

QA coverage is a key metric for QA teams. But modern apps makes it hard to achieve good coverage. We look at how AI tools for software testing help.

Why Test Recorders Often Fail (+ What to Use Instead)

Want to know more about how to combat test recorder failure and what to do instead? Keep reading!

AI test automation: 5 ways to avoid budget overflow

Software testing is expensive – it can often cost up to 40% of the total budget. Here we look at 5 ways to avoid budget overflow through AI test automation.

Boosting ML models to create strong learners

Boosting ML models allows you to eliminate bias, improve model accuracy, and boost performance.