Technology is advancing daily. Every industry makes an effort to keep up with the advancement and so does the Software Testing industry. This industry did see growth in terms of Automated testing, Exploratory testing, Testing in Digital, Testing with Algorithms, and many more with one of the latest buzz word – Artificial Intelligence (AI) in Testing.
The average spend for Testing in a medium to large IT organization is hardly 10% – 13%* of overall IT spend (maybe little more or less) and lesser in smaller organizations. But with the introduction of AI in the testing of software systems of records or systems of engagement, are we just adding cost to the whole equation? Well, of course, you can add a feather in your hat too. But does it solve the problem statement for your customer?
Let’s look at its value. What is AI in Testing? Is it Planning and Diagnosis? And a lot more, of course, I heard that! So what is the underlying system to which you are applying AI testing? It is the same system of record or engagement, but we recommend intelligent testing practices that can lower down the cost of testing and improve production stability. But do you know what type of AI models are relevant to such systems? If not, let’s redefine an AI model to suit the ear and make it look “Artificially Intelligent”. That sounds advanced!!
So is AI in testing, intelligent or artificial? Well, maybe in certain type of industries where research is done or much others, yes. But for all other industries – Understand the requirements and write those test cases intelligent and not artificial.
Do you have similar questions? Or maybe Answers.
*From discussions with some IT Leaders, not from any source
