How AI Adoption Actually Bang and Turn QA Expectations?

Software testing industry is becoming extensive with every passing day. With the sudden boost in the technology challenges, apps are growing in complication which creates an incessant need for effective software testing. Software testing is the premeditated way where an app can be observed under definite conditions and where software testers can detect the risks involved in software implementation. Testing is an imperative process that guarantees customer satisfaction within an app and assists to safeguard against potential failures that may prove to be detrimental down the line. It is a planned procedure where the app is reviewed and analyzed under definite conditions to understand the overall risks and threshold involved in its implementation.

According to the State of Testing Survey 2017, the future is about the automated test as 62% of respondents believe it will boost in the next few years. According to the similar report, we can also expect testers spend extra resources and time on testing mobile & hybrid apps, with the time used on actual development shrinking. When it comes to automation tests, Artificial Intelligence is being extensively used in object app categorization for all user interfaces. Here, recognized controls are classified when you create tools & software testers can pre-train controls that are generally seen in out of the box setups. Once the hierarchy of controls is observed, software testers can create a technical map such that the Artificial Intelligence is looking at the HUI (Graphical User Interface) for obtaining labels for the diverse controls.

Artificial Intelligence in Software Testing

Simply said, Artificial Intelligence is the science behind computers performing significant tasks that are traditionally performed by individuals. It provides machines with the critical skill to process information about its conditions & learns to adapt to the changes and modifications. Machines are learning more rapidly than ever given the technology advancements. The computer is fed with a high amount of data to adapt as per a series of inputs so that it can recognize patterns and logic and as a result make an effectual connection between similar input & output pairs. It is all the way through machine learning that websites like Amazon and Netflix are able to bring targeted advertisements to their customers by using vast amounts of data based on the web pages the user searches. Machine Learning has to turn out a long way with people using it for driving cars without a human. Artificial Intelligence has become quite popular in the field of healthcare also as it is used to recognize high-end flaws and loopholes. As Artificial Intelligence begins to progress, technology experts around the world are finding means to leverage its potential in the software testing field as well. It is merely a matter of sometimes when training apps to be familiar with issues for agile and more efficient testing becomes a reality.

AI is one of the best choices for developers looking for speedy deployments with insufficient infrastructure. It is better to leave the arduous or strenuous work to the Artificial Intelligence-powered automation which leaves only 18-20% of the test work to human ingenious and cognitive ability. It would guarantee more fail-safe results as hand-crafted testing doesn’t just require long human hours but is also susceptible to imprecision’s and inconsistencies. Quite the reverse, Artificial Intelligence bots-based testing requires very less maintenance and is skilled enough to find out new trails through the product on their own. As industries realize the compensation of Artificial Intelligence and Machine Learning, developers are considering it to drive automation, facilitate decision making, and also perk up efficiency in the area of software testing. Machine learning and AI are unquestionably becoming vital components in Quality Assurance and software testing as well. By adding Artificial Intelligence to test creation, execution, and data analysis, expert testers can rapidly identify controls, spot links between defects as well as other components, and eliminate the requirements to continually update test cases by manual means.

Conclusion

The biggest “A-ha!” moment for us is when we realized that the complications we solve with AI are not deterministic. Machine learning gives software testers the opportunity to better understand their client’s needs and respond more rapidly than ever to their changing expectations. Besides, testers now also need to analyze more data and they are given lesser time to do that, while their margin of error and flaws decreases constantly. Tools like machine learning and predictive analytics offer the amazing means to address these challenges, either with in-house well-versed tester’s teams or, turning to QA outsourcing providers. Either way, this approach is set to fill the gaps of traditional techniques of testing and make the whole process effective and relevant to the customer’s needs.

Technology is the new Addiction.

 
Technology is the new Addiction.
Any sufficiently advanced technology is equivalent to magic. – Arthur C. Clarke
 

What is Technology? Is it a helping hand for us? Or is it a substitute meant to replace us in future?
Technology according to us is a very vast term, where even a simple tool/machine like a hand fan is known to be a part of innovation and a big tool like Artificial Intelligence is also studied with equal relevance.
Technology or should we say ease of getting things done has become a part of our DNA. Today, a new born baby within few months, learns to operate an iPad or an iPhone. There used to be a time when young children used to learn how to operate a normal kid’s toy and probably failed at it.
It seems as if today’s generation has some sort of coding embedded in their DNA which enables them to start operating any gadget at an early age.
With advancement in technology, today almost everything is possible. Maximum of the things have been automated and with AI being developed so rigorously, in the future we wouldn’t need Humans to do our work. Everything would be automated.
Cars have become self-aware (Google Self Drive Car), anything you want can be printed in 3D with help of 3D Printers, any color you like can be scanned and picked up to draw or write. Nothing seems impossible in today’s world.

                                                

Despite using science and technology to better our lives, we are the real slaves to technology. We indulge in the need to always have something electronic in our hands – a tool that connects us to the Internet, our games or to our social networks. We’re bypassing the real world to get a digital quick-fix; our work, play and plans for stress release seem to depend on a broadband connection.
Now, fast forward this situation to a decade from now. You see adults sitting around a table in a Wi-Fi-enabled café. Chances are they are not going to be talking to each other, not in the real world at least. At home, fights and arguments will occur a lot more often between spouses due to a lack of communication, and it’s not going to get any better when this generation has kids of their own.
This is the whole point of technology.  It creates an appetite for immortality on the one hand.  It threatens universal extinction on the other. Technology is lust removed from nature. The real danger is not that computers will begin to think like men, but that men will begin to think like computers. Still, we feel that, end of the day human touch or interaction is very important. Future may have 100 different robots for 100 different things but the feeling of a human next to you can never be replaced.

Come to think of it, all of this is already happening right now.
Technology has slowly eased its way into our lives and formed glass walls between individuals who can communicate with each other but instead chose not to.
So, in the end we just hope that computer/robots/gadgets replace humans only for work and gives us more time to be with each other.

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