As AI-driven testing (ADT) becomes increasingly integral to software development, the importance of data privacy and security cannot be overstated. While AI brings numerous benefits, it also introduces new risks, particularly concerning intellectual property (IP) leakage, data permanence in AI models, and the need to protect the underlying structure of code. The Shift in Perception: … continue reading
Artificial Intelligence (AI) has become a powerful tool in software testing, by automating complex tasks, improving efficiency, and uncovering defects that might have been missed by traditional methods. However, despite its potential, AI is not without its challenges. One of the most significant concerns is AI bias, which can lead to false results and undermine … continue reading
Automated testing began as a way to alleviate the repetitive and time-consuming tasks associated with manual testing. Early tools focused on running predefined scripts to check for expected outcomes, significantly reducing human error and increasing test coverage. With advancements in AI, particularly in machine learning and natural language processing, testing tools have become more sophisticated. … continue reading
Coding creates the backbone of most businesses today, whether it is developing an app for our smartphones or other software meant to ensure smooth technological processes. It is a way we can talk to machines using a logic base and make them do what we want them to do. However, one misplaced figure or apostrophe … continue reading
