artificial intelligence

Articles

AI/ML Testing and Your Test Future (Part 2) AI/ML Testing and Your Test Future (Part 2)

AI, AI, AI—it is everywhere. We all read this in the news, see it in politics, in our web traffic, and now it’s coming to our tools. Interestingly, testing has been identified as one of the most essential areas for AI as well as for the safety of the public. This article considers references to start you on your AI test journey, "classic AI" problem areas, and identifies possible concepts to use when testing AI. As usual, it comes down to a willingness to learn new things or apply historical ideas to advance your test career.

Jon Hagar's picture Jon Hagar
Generative AI—Is It the Catalyst for Evolution in Test Automation? Generative AI—Is It the Catalyst for Evolution in Test Automation?

Generative AI is changing testing practices by automating the creation of test cases, adapting to software changes and improving test efficiency. This highlights the growing importance of artificial intelligence in improving test coverage and accuracy, making test automation even more adaptive and intelligent. It has the potential to change the way software is tested, ultimately leading to higher-quality software products.

Rohit Khankhoje's picture Rohit Khankhoje
Man training a dog to sit How Humans and Bots Can Work Together to Test Software

We’ve all heard about AI for software testing from some seriously smart people, but there has been a lot of confusion about the idea. This article tackles some of the questions you might be asking: Do I need to be a genius to use AI for software testing? Is AI going to replace me as a tester? Where does AI fit into my testing strategy? With a simple analogy of training a dog, learn how AI fits into testing.

Janna Loeffler's picture Janna Loeffler
Rubik's cube being solved A Tester's Role in AIOps

“AIOps” stands for “artificial intelligence in IT operations,” or using machine learning and data science to solve IT problems. AI can help with many IT functions, including detecting and remediating outages, monitoring availability and performance, and IT service management. Like with DevOps, a tester plays an important part with AIOps—they just have to determine what that is.

Bhavani Ramasubbu's picture Bhavani Ramasubbu

Interviews

Jason Arbon Examining the Impact of AI on Software Testing: A Conversation with Jeff Payne and Jason Arbon
Video

In the software community, the emergence of AI has stoked thoughts of both possibility and concern about its impact. For software testers, the critical questions swirling around AI are: “What is the future of testing in a world of AI? Will testers become obsolete?” Coveros CEO Jeff Payne talked with testing and AI expert and CEO of TestersAI, Jason Arbon, to find out what the emergence of AI means for the testing and software community.

Todd Kominiak's picture Todd Kominiak
Davar Ardalan From NPR to AI: An Interview with Davar Ardalan

Davar Ardalan, founder and storyteller-in-chief of IVOW, talks about how her experience working at NPR helped her launch an AI and storytelling startup. She also discusses how testers, QA analysts, and software engineers are on the front lines of working with users and understanding user engagement, and she explains the importance of finding ways to collaborate with them.

Jennifer Bonine's picture Jennifer Bonine
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
Artificial intelligence brain Why Testers Should Take Control of the AI Narrative: An Interview with Tariq King and Jason Arbon
Video

In this interview, Tariq King, the senior director and engineering fellow for quality and performance at Ultimate Software, and Jason Arbon, the CEO of test.ai, explain the role artificial intelligence plays in modern testing and why you should establish a foundation right now.

Jennifer Bonine's picture Jennifer Bonine

Conference Presentations

What’s Our Job When the Machines Do Testing?
Slideshow

The engineering community is beginning to explore the exciting capabilities of AI in order to remove even more mundane and manual tasks from our jobs. Join Geoff Meyer as he provides a framework for organizations to use when considering the application of AI to tasks within their SDLC.

Geoff Meyer
Smart Testing with AI Using Data Mining
Slideshow

The approaches to testing are continuously evolving as we try to keep up with the application needs of today’s users. Our industry is facing a new paradigm where AI is helping achieve scale, coverage, and business impact for many organizations.

Lorna Smyth
Storytelling in the Age of AI
Slideshow

People are actively engaging in civic tech, social robots are tweeting, and veteran storytellers are capturing stories in new ways using virtual and augmented reality. This explosion of tools, sources, voices, and data is indicative of a new, more collaborative era for storytelling.

Davar Ardalan
STARCANADA Improve Testing of AI Systems with "Grey-Box" Testing Technique
Slideshow

There are two main challenges to testing systems that incorporate elements of artificial intelligence. First, the same input can trigger different responses as an AI system learns and adapts to new conditions, and second, it is difficult to understand what the correct response really should..

Yury Makedonov

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