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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.
Greg Paskal, evangelist in testing sciences and lead author for RealWorldTestAutomation.com, chats with TechWell community manager Owen Gotimer about testing as a craft, choosing the right test automation tools, and current testing trends around the world.
Chloe Chen, automation developer at Upland InGenius, chats with TechWell community manager Owen Gotimer about her journey into test automation and her team’s goal of transitioning from working on a single product to offering test automation as a service across their organization.
Melissa Benua, director of engineering at mParticle, chats with TechWell community manager Owen Gotimer about the importance of whole team quality, how to get started using the test pyramid, and how developers can start writing testable code.
Dan McFall, president and CEO at Mobile Labs, chats with TechWell community manager Owen Gotimer about trends in enterprise mobility, the role DevOps and the cloud play in mobile application testing, and the transition to working from home.
Chris Loder, automation architect at Upland InGenius, chats with TechWell staff about how test automation and laziness can help drive quality within organizations.
Max Saperstone, director of test and automation at Coveros, chats with TechWell community manager Owen Gotimer about codeless automation, using ROI to drive test automation decisions, and why manual testing is here to stay. Continue the conversation with Max (@max) and Owen (@owen) on the TechWell Hub (hub.techwell.com)!
Hans Buwalda, CTO at LogiGear, discusses shifting the paradigm from not moving testing left or right along the software development lifecycle, but testing in a continuous circle to find unexpected problems. He talks about how testing is a mindset, not just a skill, and shares his insight into helping customers get further with Selenium.
Gil Sever, CEO at Applitools, discusses his journey in visual testing to making your product “visually perfect.” He talks about how companies are getting started in using automation, as well as how to get involved in leveraging and implementing AI in visual testing.
Paul Grizzaffi, Principal Automation Architect at Magenic, discusses nontraditional automation using fuzzy browser testing and the importance of the value stream analysis from idea to implementation. He also shares his insight on the most critical skills needed in automation.
Chris Loder, an automation developer at InGenius Software, discusses getting started on system-level automation and why he thinks AI cannot take over automation. Chris also gives his insights into the value of the collaboration at conferences between people at various levels.
In this interview, Dawn Haynes, CEO, testing coach, and consultant for PerfTestPlus, discusses the ever-evolving world of AI and machine learning and the impact on the future of testing. Dawn explains why tools and automation will not be able to replace people, so testers don’t need to worry about job security.
Greg Paskal, test automation lead at Ramsey Solutions, talks about data lakes and how to effectively use data visualization. Done well, data visualization should help practitioners, managers, and stakeholders easily consume, understand, and act on the information the visual displays.
Chris Loder, automation architect at InGenius, talks about being a self-taught automation developer, why learning new skills is so important, and the synergy between manual testers, automation testers, and developers.
In this interview, Greg Paskal, a technology innovator in quality assurance, discusses a new open source tool from Elastic Stack that creates a “data lake” that can be mined to analyze the data coming from test automation on a more effective level than pass/fail.