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Autonomous Testing

A modern tale of two QE developers, Sam and Andy, highlights the stark contrast between sticking to outdated frameworks and embracing AI-driven automation. This is the second part of their journey and choices impact their careers.

The Tale of Two QE Developers: Sam vs Andy - Part II

A modern tale of two QE developers, Sam and Andy, highlights the stark contrast between sticking to outdated frameworks and embracing AI-driven automation. Discover how their choices impact their careers and learn how tools like Functionize can transform QA into a strategic advantage.

The Tale of Two QE Developers: Sam vs Andy - Part I

Learn why AI can't meaningfully speed up traditional automation because the fundamental differences between hard-coded logic and data-driven adaptability make integrating the two approaches are both inefficient and incompatible.

Why AI Can't Meaningfully Speed Up Traditional Automation

AI implementation in large organizations isn’t simple, but well worth the effort. Learn more about what to expect in the transition to AI-driven automation.

AI Implementation: Not Just a Flip of a Switch

AI-based testing is heavily reliant on the quality of data used for training. Learn about the significance of data quality, including common challenges and best practices to ensure high data quality in AI-based testing.

The Importance of Data Quality in AI-based Testing

Uncover the power of transformers in test automation and their wide-reaching influence in NLP, computer vision, and more.

From Language Processing to Test Automation: The Evolution of Transformers

Explore the transformative potential of AI-augmented testing in software QA, offering insights into its efficiency, precision, and the synergy between AI and human testers.

What Exactly is AI-Augmented Testing?

Automated tests helps companies not only save costs and improve efficiency but also ensure that they are delivering the best possible product to their customers.

Why Democratizing Automated Testing is a Smart Move in a Down Economy

In this post, we explore the specific talent needs of software QA and DevOps professionals in this transformative era.

Meeting the Talent Needs of QA and DevOps in this Transformative Era

Many organizations are not able to hire QA teams. In these cases, you can still accomplish quality by enabling business and technology teams with the right tools.

Software Testing For Organizations Without a QA Team

In sprint automation is an approach that is the most in tune with the core philosophy that governs workflows like Agile and DevOps.

In Sprint Automation

While software testing requires an investment, the approach you choose can positively affect your company’s growth and revenue in a variety of ways.

Why Software Testing Should Be Considered a 'Profit Center'

Integrate Functionize with your CI/CD so you can run tests with your build process. Here are the popular tools that customers commonly integrate with Functionize.

Top CI/CD Tools For 2022

Technology leaders should encourage their teams to build testing roadmaps. In this post, we explain what needs to include in software testing roadmaps.

What Needs To Be on CTOs Software Testing Roadmaps

Modern applications need scalable test automation. Strategies such as using a test cloud, driving down test debt and intelligent test automation will help scale your automation practice and drive efficiencies.

Strategies to Scale Automated Test Suites

Test orchestrations are necessary for modern teams who want to test faster. See how Functionize orchestrations help you plan your tests in bulk.

Why Modern Testing Requires Orchestrations

Automation is intended to cut manual effort of testing, but that’s not always the case. See how automated tests can lead to counterproductive results.

The Counterproductive Nature of Automated Testing

Selecting the best test automation tool for your project requirements is a huge challenge. Here are five things to consider to help you choose the right one.

5 Considerations When Buying a Test Automation Solution in 2022

Understand the factors that make scripted test automation slow, and how modern platforms like Functionize prevent testing teams from falling into costly maintenance cycles.

Why Scripted Test Automation Is Slow

AI is here to stay, but should you build your own solution or buy one off the shelf? Here, we look at the pros and cons of building your own AI testing tool

Building Your Own AI-Testing Tool: Pros and Cons

AI lets us deliver the most reliable test automation platform out there. But as we explain, this is only possible because our system learns by making mistakes.

Learning from its mistakes. How the Functionize AI really works

Testing involves following a set of steps to get a result. But you must understand the intent behind the test. Here, we explain why this is also true for AI.

Intent: understanding what a test really does

Modern web applications need a different approach to testing. Here, we see how AI-powered solutions increase the number and type of tests you can automate.

The top 10 test cases that benefit from AI power

Test automation is a no-brainer for Agile development and CI/CD. But there’s a paradox. The more tests you automate, the less time you have to automate more.

The test automation paradox: how it slows your team down

Test teams often follow the mantra if it ain’t broke, don’t fix it. Here, we show why this is a fallacy and see how to improve your test automation strategy.

Test automation strategies: If it ain’t broke, don’t fix it! Right?

Learn the difference between progression testing and regression testing. And see how easy it is to automate progression testing with Functionize.

Progression testing matters too! Why you should expand your (regression) test automation.

Read about Artificial Intelligence from Functionize. Click now to learn why to trust AI for testing.

Why should you trust AI for testing?

Functionize 4.0 introduces SmartFix, a powerful feature that helps testers with debugging and fixing broken tests in test maintenance.

SmartFix: 3 ways it solves your test maintenance headache

Test automation is vital nowadays. But sometimes it can be hard to measure the true value of test Automation.

Measuring the true impact of test automation

New Year's Resolutions: how to set realistic targets for test automation

The key to a successful test automation strategy is to set expectations correctly: recognize what the software can do and be equally aware of what it can't do.

5 rules for successful test automation

Let’s explore how Behavior-driven development (BDD) fits into and enables continuous delivery (CD).

Aligning BDD with Continuous Delivery

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.

How To Implement Agile Test Automation

Functionize’s NLP makes English the language of testing. We explain why this reconnects you with your users and contrast it to traditional test automation.

How NLP reconnects you with your end users

Learn how you can teach a computer to understand test plans by using natural language processing. Here is how Functionize does NLP-based test automation!

NLP – Teaching A Computer To Understand Test Plans

Testing Shadow DOMs (often used for widgets) is hard because JavaScript can’t see them. We let you test them transparently like every element in your app.

How Functionize lets you test Shadow DOMs

GTM is a milestone for every product and it marks a make-or-break moment. Using an intelligent test agent can reduce the risks.

GTM – how an intelligent test agent reduces the risks

Imagine a world of perfect tests! Check out the article to find out Finctionize's vision on the future of testing.

Functionize’s vision for the future of testing

Successful companies launch new features continuously, allowing them to respond to customer demand. Replicating this requires you to Shift Right

Shift Right testing – background and history

Welcome to Functionize’s suite of AI-powered test automation platform. This document will help you get started.

Automating your testing with Functionize

One of the most famous machine-centered models is the Society of Automotive Engineers’ taxonomy for the levels of automation in self-driving vehicles.

Levels of Automation in Testing

With ever-dynamic and innovative markets, the IoT testing strategies have become crucial for companies to ensuring reliability of their production.

Automating Iot Device Testing

What's the difference between Robotic Process Automation and Intelligent Automation? RPA is just one step on the road to intelligent automation.

Robotic Process Automation vs. Intelligent Automation

The Functionize testing platform has many capabilities that make it highly suitable for automotive infotainment system testing. Check out the article.

Automotive Infotainment System Testing Automation

Part 2 of our software QA discussion with Rebecca Karch, including topics on test automation challenges, trends shaping the future of software automation testing, and skills that will prepare testers for changes to the testing landscape

The Future Of Software Automation Testing | Part 2

A discussion with Rebecca Karch on the future of software automation testing, evolving the role of software QA, how it relates to continuous delivery, etc.

The Future Of Software Automation Testing | Part 1

An overview of challenges associated with autonomous testing including the difficulty of maintaining test scripts, varying software development processes, etc.

Getting Past the Hype of Autonomous Testing