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Person creating a "continuous" infinity sign with a sparkler Bringing Continuous Testing to Your Organization

Continuous testing means all your tests are executing all the time, providing continuous feedback into the quality and health of your applications. In order to achieve continuous testing, you must first adopt the right test automation strategy. Understanding how to bring in all different types of test automation practices as efficiently as possible enables you to get started down the path of continuous testing.

Chris Colosimo's picture Chris Colosimo
Human eye Using Computer Vision to Reduce Test Automation Blind Spots

The standard test automation toolkit easily completes web and mobile automation, but it fails to detect elements on desktop and mobile content-based applications. Computer vision (CV) replicates the human eye using deep learning technology and can determine objects in pictures, which helps machines orient in space and perform repetitive detection tasks. Let's see how CV can help automate the testing of a much wider software product list.

Maxim Chernyak's picture Maxim Chernyak
Developers and testers giving each other useful feedback Improve Tester-Developer Relationships with Helpful Feedback

Testers and developers often have a strained relationship. Each side has a certain level of expectations as to what the other side should know and do, while there is little understanding of the constraints, conditions, and requirements that the other team has to work within. But it does not have to be this way. A little effort in giving more specific and helpful feedback can go a long way toward improving attitudes.

Michael Stahl's picture Michael Stahl
Cursor hovering over the word "Security" on a computer screen Integrating Security and Testing Practices

QA and information security use different methods to approach the same goals. When both groups work together, they can make a greater impact on the security of our products. Here's how the QA team can collaborate with infosec to implement strong security standards, prioritize what to test, and obtain quicker feedback on processes, ultimately seeing fewer production incidents related to security.

Sylvia Killinen's picture Sylvia Killinen
Brain made of computer circuits and binary code A Simpler Way of Using Machine Learning to Shift Testing Left

The advantages of shifting left and testing as early as possible are obvious. But as you automate more testing, the test suite grows larger and larger, and it takes longer and longer to run. Instead, just automate the process of finding the right set of tests to run. The key to that is machine learning. This isn't AI bots finding bugs autonomously without creating tests; this is a different way to use machine learning, and it’s far simpler.

James Farrier's picture James Farrier
Score being shown at a baseball game More Than a Score: Taking a Deeper Dive into Your Metrics

One key benefit of metrics is that they can be measured using a standard process; we can explain the numbers, and leadership can understand what that means. The downside is that it is only a measurement, so issues can easily hide until they become problems, and great work can also go unrepresented. Sporting events are a great example: The end score tells you who won, but not the details of the game. We need to look deeper.

Nels Hoenig's picture Nels Hoenig
Pyramid in Egypt Inverting the Test Automation Pyramid

A growing company was tasked to develop a test automation program from scratch, change its coding practices, and build a continuous testing toolchain. Martin Ivison details how they did it, including realizing that implementing the traditional test pyramid wasn't going to work—it would have to be turned upside down. They found out that small is beautiful, cheap is good, and cultural change matters.

Martin Ivison's picture Martin Ivison
Artificial intelligence bot AI-Driven Test Automation and Your Future

Many software testers are lamenting the impending demise of their jobs thanks to artificial intelligence. But Jon Hagar thinks there's no need to panic just yet. Here, he details some capabilities he's seen in AI, relates how these can be used in software testing, and explains why he thinks most people don't have to worry—although he also explains who should! As usual, it comes down to a willingness to learn new things.

Jon Hagar's picture Jon Hagar
Computer screen showing clean code Clean Coding Practices for a Scalable Test Automation Framework

Many organizations are looking to expand their automation abilities by designing and developing test automation frameworks. However, we often abandon good coding practices in favor of working as fast as possible. We need to treat this project like any other application development project. Here are three of the most important clean coding practices to keep in mind in order to make a scalable test automation framework.

Sumon Dey's picture Sumon Dey
Team members fitting puzzle pieces together Whole-Team Testing for Whole-Team Quality

Whole-team testing means the whole team understands and participates in testing, using testing education as a tool to support quality efforts. And to be able to support testing in a meaningful way, team members must experience how testing is done by professional testers. Understanding skilled testing can help non-testers realize what quality criteria should be there and what elements of a product contribute to great quality.

Lalit Bhamare's picture Lalit Bhamare

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