machine learning

Articles

2020 letters and confetti 7 Agile Testing Trends to Watch for in 2020

With 2020 upon us, software development firms seeking to increase their agility are focusing more and more on aligning their testing approach with agile principles. Let’s look at seven of the key agile testing trends that will impact organizations most this year.

Nick Karlsson's picture Nick Karlsson
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
Close-up of computer keyboard Testing AI Systems: Not as Different as You’d Think

AI-based tools have transformed from a vague, futuristic vision into actual products that are used to make real-life decisions. Still, for most people, the inner workings of deep-learning systems remain a mystery. If you don’t know what exactly is going on while the input data is fed through layer after layer of a neural network, how are you supposed to test the validity of the output? It’s not magic; it’s just testing.

Kerstin Kohout's picture Kerstin Kohout
Brain made out of a circuit board Leveraging Machine Learning to Predict Test Coverage

Test coverage is an important metric within test management, and as technology evolves, we‘re able to leverage new trends to predict coverage. Weka, an open source suite of machine learning software, can take your test management beyond spreadsheets to the latest AI technologies, letting you predict your test coverage earlier with greater accuracy.

Bhavani Ramasubbu's picture Bhavani Ramasubbu

Interviews

Raj Subramanian Testing in an AI World: A Conversation with Raj Subramanian

Raj Subramanian, developer evangelist at Testim.io, talks about artificial intelligence; the differences between AI, machine learning, and deep learning; and what AI means for the future of software testing.

Owen Gotimer's picture Owen Gotimer
Geoff Meyer How Machines Will Impact the Way You Test Software: An Interview with Geoff Meyer

In this interview, Geoff Meyer, a test architect in the Dell EMC infrastructure solutions group, discusses whether or not testers should be nervous about artificial intelligence, what testers can do right now to keep up with the times, and when AI is most useful for software teams.

Josiah Renaudin's picture Josiah Renaudin
Daria Mehra Machine Learning and Artisanal Testing: An Interview with Daria Mehra
Video

In this interview, Daria Mehra, the director of quality engineering at Quid, explains how people can use machine learning to better contextualize data, details the complexity of test automation and how to be sure you have enough test coverage, and defines the term “artisanal testing.”

Jennifer Bonine's picture Jennifer Bonine
Jason Arbon The Future of Software Testing with AI: An Interview with Jason Arbon
Video

In this interview, Jason Arbon, the CEO of Appdiff, explains how artificial intelligence is going to change the way we test our software. He talks about why testers shouldn't be afraid that AI will take their jobs and shows how machine learning can actually be approachable.

Jennifer Bonine's picture Jennifer Bonine

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