artificial intelligence

Articles

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
A robot hand touching a keyboard 5 Things That Will Impact the Future of Software Testing

From the way we look at software, evaluate risks, think about complexity, design our test approach and strategy, and help to release a stable product to the customer, technology has had an influence on how we test software. And that influence will only continue as technology advances. On a high level, here are five key things we’re already seeing that are going to shape the future of software testing.

Raj Subramanian's picture Raj Subramanian
Machine learning Testing a Moving Target: How Do We Test Machine Learning Systems?

Most machine learning systems are based on neural networks, or sets of layered algorithms whose variables can be adjusted via a learning process. These types of systems don’t produce an exact result; in fact, sometimes they can produce an obviously incorrect result. So, how do you test them? Peter Varhol tells you what you should consider when evaluating machine learning systems.

Peter Varhol's picture Peter Varhol
Human or machine head The Turing Test: From Star Wars to Modern Software Testing

Hadoop, Splunk, and other modern business intelligence tools and decision support systems all have something of the flavor of artificial intelligence—that is, you ask a question and get an answer. Testing these tools is a challenge, but it can also provide opportunities for testers to shine if they can correctly distinguish an inhuman response.

Michael Mak's picture Michael Mak

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
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
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
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

Conference Presentations

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
STARCANADA How AI Is Transforming Software Testing
Slideshow

Artificial Intelligence (AI) and machine learning concepts are rapidly being integrated into IT systems. Companies like Apple, Tesla, Google, Amazon, and Facebook have started investing more in AI to solve different technological problems in the areas of health care, autonomous cars...

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

After its highly hyped introduction decades ago and followed by a long, quiet “winter,” artificial intelligence (AI) has slowly crept back into our consciousness. While our Siri and Alexa assistants entertain us, machine learning (ML) has brought new conveniences into our lives...

Geoff Meyer
Mobile Dev Test Using Artificial Intelligence to Test the Candy Crush Saga Game
Slideshow

Candy Crush Saga is one of the biggest mobile games today with more than 1000 levels of difficulty—and users continue to ask for more. When building new content, it is extremely important to ensure that the level of difficulty is balanced and that the user does not experience crashes or...

Alexander Andelkovic

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