In this webinar, Jennifer Bonine will discuss the impact and scope of AI in testing. She will address some of the most burning questions out there on the subject around its impact to testers and give practical advice for when and how to add AI to your testing practices.
Executives are always looking to cut costs and increase value. Test Automation is key in continuous delivery of digital assets for customers. But does Test Automation produce an ROI? If so, what is it? How can your department positively affect the bottom-line with test automation?
Automated testing and test automation far ago have ceased to remain options or choices for the development projects. Now as the DevOps and Agile approach getting huge traction across projects of all types and lengths, automation seems to have the key development methodologies.
Come join this session, where I cover the basics of AI, existing problems with testing, discuss the key ways software testing can benefit from AI and the challenges involved in implementing AI-based solutions. Attending this session will help anyone to get started with AI-based testing.
The objective is to support teams to develop products that matter. Value-Driven Development encourages teams to adapt and engage with end-users. The key is to develop products that are actually being used. A working product is useless when it is not being used, a quality product is pointless when it is not being used. Value-driven teams are user and usage orientated teams.
Just when we, as testers, got a handle on what Agile means for us, the landscape changed yet again to a DevOps culture. Words like continuous integration (CI), continuous deployment (CD), and pipelines are now ones we’re hearing on a daily basis. As a tester, I’ll admit, I had no clue of what these words meant, and how was I to change the way I tested to fit within this DevOps culture.
Testing involves two types, one will be functional and the other is the non-functional testing. These types of testing are different – continue reading to learn about both of them.
At the turn of the 19th century, the industrial revolution replaced many manual jobs and that resulted in a better quality of life. At the same time, it also led to the loss of a large number of jobs in the short term. Since then there has been a recurrent fear that technological change will spawn mass unemployment. However, the Artificial Intelligence and Machine Learning revolution, that the world has come to terms with, will be significantly different from the Industrial Revolution.
Building automated testing is always a delicate balancing act, with the best course of action heavily reliant on the type of testing, scale of the business and a host of other factors to boot. However, the choice between OSS and proprietary tools to safely build automated testing is a whole question in itself – we take a look at the key pros and cons to help you make the right choice…
In this presentation, Orlando will explore the following questions, outline the pros and cons of each buying and building, and provide key strategy and valuable tips to help enterprise mobility teams make the right decision when incorporating a mobile device cloud into their mobile app development and testing processes.
In this session, Jennifer Bonine and Rick Faulise will explore new shifts in testing paradigms. Demonstrate an AI-first testing method that integrates with your current manual and automation testing, and understand AI that aids your app teams. Re-think where you want to spend time and money in your testing team in a challenge that plagues most companies of too much to test and too little time.