ai

Articles

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

Interviews

Eran Kinsbruner Moving to Progressive Web Development: An Interview with Eran Kinsbruner

Eran Kinsbruner, mobile evangelist at Perfecto, discusses his new book and how to be successful in continuous and web testing. He talks about the importance of moving from responsive to progressive web development and taking it to the next level. Eran also shares his insights on AI and machine learning and the element of trust involved with each.

Jennifer Bonine's picture Jennifer Bonine
Jeremias Rößler Bringing AI into Testing: An Interview with Jeremias Rößler
Video

Jeremias Rößler, founder of ReTest, discusses his company’s open source re-check tool, how customer input was vital to the tool’s development, and shares  insight on growing a start-up. Jeremias also provides resources for learning about AI that can guide you on how to apply AI into your testing strategy.

Jennifer Bonine's picture Jennifer Bonine
Gil Sever How AI-Assisted Test Automation Can Transform the UI: An Interview with Gil Sever

In this interview, Gil Sever, the cofounder and CEO of Applitools, explains the importance of automation in modern testing, why you need to be customer-obsessed, and how your UI can determine the success of your applications.

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

Conference Presentations

BSE Development Intelligent Software Development, Courtesy of Intelligent Software
Slideshow

The machine learning age is well underway. Today’s software can see novel patterns that humans are unable to see and improve task performance based on experience. Learning algorithms are widely used for varied purposes, including loan approval, intrusion detection, fraud prevention, risk...

Stephen Frein

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