AI and Automation Testing

Courtesy: pcmag.com

Let us take a moment to ignite your wonder.

We can bet that the enchantment of Artificial intelligence and autonomous machines have graced your ears for a while now, and there is good reason for it. Over the last decade, the idea of Data-singularity has charmed several technical enthusiasts around the world. The amount of data generated has grown exponentially every fleeting moment owing to improved hardware and networking technology. With the advent of this brilliant Age of Data, came the power to analyze them and produce unfathomable results. Who could have imagined two decades back in the line, that we could look into the future with a click of a few buttons?!

Today we can foretell stock prices, predict life-endangering diseases before they reach malignance or even take roots, create self-driving cars and bikes, penalize frauds before the shock hits, and do so much more in no time!

We are living in an era once only dreamed of, and for your own sake, be proud my friend!

Speaking of the dynamic architecture of Data, humans are falling short of enough resources to handle them. We do not have enough man power to analyze every bit that gets generated. We do not even have the perfect machinery (which will be a mouthwatering quantum computer!) that will do the job for us as efficiently as an experienced mind would.

It is said that an average digital user generates about half a gigabyte of data every day. Imagine what the users on the high-end of data generation produce each day. Overall, humans produce about 17 Zettabytes of data every year, and the growth sees no end, and we are glad about that!

Today we have highly sophisticated algorithms to learn the patterns hidden in these monstrous data chunks, but sadly enough we do not possess enough people to sit by the system and administer the entire process. One surely must have heard about the immense demand for data architects and scientists, and how the supply of able candidates is running awfully short! There are takers no doubt, but the world needs more than just a taker. It needs able takers.

In today’s mad digital world, humans do not tire of creation. Developers all around the world are busier than bees making products which just might change the entire course of the human race. Until creation it is all well and good. However, we cannot just deploy a time bomb thinking it is a stop watch!

To prevent the harassment on the user-end and the embarrassment on the developer-end, we need expert testers who can give us a better guarantee for the product. In fact, testers provide the basic roots of trust a product is characterized with and without them, a product is basically left to fend for itself.

However, as the saying goes, “with power, comes great responsibility”. Testers are important and powerful entities because they are responsible for such a huge chuck in the process of creation. Every time a developer thinks of introducing the minutest change in the application, a tester has to go through testing the entire product all over again and it is vital that he does, because even a tiny worm can host the ability to tumble an entire system. The ones who suffered the pangs of diarrhea will know what we are talking of!

This rigorous check brings us to the problem of time shortage and huge investments. Most resources are spent on skilled workforce who devote extraordinary portions of their hours to solve the problem of testing every time a product is enhanced or a bug is removed because removing a bug may introduce few more. (Yes, the irony of it!)

But not to fret testers, the new world tends to have a solution for every problem!

Introducing the AI solution of Automated Testing (drum rolls please!)!!

AI in testing will be able to detect similar patterns in bug infestation and inform the tester which areas to pounce on first, thus saving a lot of time and resources. Based on a given change in the product, it will be able to identify the kind of testing route to be followed which will top efficiency. After identification, it will be able to apply the planned modules on the product to lookout for malfunctions.

Courtesy: indiamart

Wait though, do not go over the moon just yet, this does not mean that AI will render the process completely automated. That would mean a massive cut down of jobs, as yummy as it sounds for the investors, but get back down here on earth!

Humans will still be required to administer the process of automated testing to aid updates with new data, new techniques and innovations to solve testing issues and more. Automation will just mean that testers will be able to move a step forward in the line of innovation. Their work pattern will be different, more efficient and precise and they will be able to exert their mind on more promising innovations instead of repeated manual labor that testing ensues.

Say hello to the new world already!