When I took a look at a post claiming that the āera of intelligent testing is challenging the norms of QAā I figured Iād get something potentially interesting about AI-assisted testing and how it could impact the field.
Oh noā¦ Iām not quite sure how it happened, but somehow Angie Jonesā article in Testing Trapeze about some of the challenges she encountered while writing test automation for a specific AI product got referenced as an example of āintelligent testingā - which the author describes as
the combination of machine learning and AI-enabled analytics, and continuous feedback that helps testing teams to predict outcomes and reduces time to market of software projects/products.
Um. Iāve got to say Iām not exactly happy with this notion. Does it mean those of us using exploratory techniques are using ādumb testingā? Or is traditional test automation now ādumb testingā? Sorry, author, but weāre all performing āintelligent testingā when weāre thinking about what we need to investigate, why weāre doing it and how weāre going to approach it. It doesnāt matter what tools weāre using, at least not in terms of whether weāre approaching the testing tasks intelligently or not.
Iād better stop here, lest I move from snarky to sarcastic (Iām told the next step is āpoisonousā or possibly āscathingā).