Shift-Left Testing is a transformative approach that advocates for the early involvement of quality assurance in the software development lifecycle (SDLC). Unlike traditional waterfall methods
Shift-Left Testing is a transformative approach that advocates for the early involvement of quality assurance in the software development lifecycle (SDLC). Unlike traditional waterfall methods
Great companies have figured out a primary key to business longevity: caring about your customer’s opinion of the product and ease of use. Because of that, they are investing now more than ever in customer-centric product development. Uservoice defines customer-centric product development as “an approach to building and improving products that places customer truths at the core of new development. Embracing this approach means every new feature and functionality released can be traced back to a real customer problem.” However, creating customer-centric products and features isn’t as easy as just flipping a switch. How can we, as testers, shift to meet the customer-centric development model?
ChatGPT is something you’re probably familiar with. Its plastered all over my LinkedIn feed and was a hot topic of conversation during my holiday gatherings. In the off chance you’re not in the know, ChatGPT is a machine learning model that will essentially perform a variety of tasks, provide information on endless topics, or just have conversation with you. It’s pretty cool, albeit a little frightening too. With such power comes great risk.
I recently tweeted the above meme and the number of likes and retweets it received was astounding to me. It grabbed so much attention because
In the age of ditching test cases, many testers are looking for ways to maintain organization while testing. There are many possibilities in accomplishing organization
I started tracking our organization’s Mean TIme to Detect (MTTD) a defect, and immediately noticed that the majority of defects opened were being discovered later