AI & Software Testing Looks Great Off The Peg; How It Fit Your Needs?
Hearing hundreds and tons about artificial intelligence (AI) and the way it is shaping up to be the next big thing worldwide is no longer a big deal. AI and Software testing are one of the latest trends going around; companies require to chase such new trends in order to stay ahead of the curve, and they don’t always get it right.
With the constant progression of Software Testing i.e. from predominantly manual testing to incorporating automation testing is witnessed by all. This has surely led to a severe rise in technical complexities encouraging procedures such as software development, testing, and deployment to take place at breakneck speeds. Which truly means that developing at a faster pace and testing in a smarter way has become the need of the hour. So what are you waiting for? Let’s unlock the true potential of the world of software testing by leveraging the power of Artificial Intelligence.
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Assimilating machines can meticulously mimic human behavior. Yes, you heard it right! Chances are pretty much high that a team of testers can move beyond towards progressively and automated and precision-based continuous testing process instead of choosing the boring/traditional route of manual testing models. Speaking of which, artificial intelligence is used in object application categorization for all user interfaces. This is what automation testing is all about! Professionals have the advantage of creating a technical map as soon as the hierarchy of controls is observed.
Down the line, users performing exploratory testing within the testing site can be easily observed- all thanks to Artificial Intelligence, using the human brain assess and identify the applications that are being tested. On the contrary, it is assumed that it will bring business users into testing where customers can automate test successfully.
Its benefits include:
Now when user behavior is being assessed, AI assigns risk preferences, monitoring, and categorization aspects respectively. For example- heat maps are highly used to identify bottlenecks and get on a conclusion which tests needs to be conducted and why. There is no denying the fact that a sudden increase is seen in the amalgamation of AI in software testing. A process where updating test cases manually continually and identifying controls, spot links between defects and components can be done by professionals in a far more effective manner. Down below, I would like to mention specific pointers that emphasize on salient benefits of AI in testing. Have a look!
#1 Improved accuracy- Now imagine a situation where you are the most meticulous tester; where making mistakes while conducting monotonous manual testing is something you are bound to. Automated testing aids well by performing the same steps in a more accurate manner every time they are being executed. And there is no denying in the fact that by conducting repetitive manual tests professionals have gained more time to create new automated software tests and deal with sophisticated features like never before.
#2 Going beyond the limitations- Do you really think it is possible for the most significant software/QA departments to execute a controlled web application test with 1000+ users? Probably not! With the help of automated testing, testers can stimulate tens, hundreds, or thousands of virtual set of users that can interact with a network, software, or web-based applications.
#3 Saved Time + Money = Faster time to Market- Each and every time when the source code is being modified, software tests are modified on a repetitive basis. Now, do you really think these tests are just time-consuming? Hell no, they can be extremely costly. Whereas if we look at the other side, automated tests can be executed again and again with little to zero additional costs and of course, at a much faster pace. Now I am sure you must be wondering what translates this procedure to travel fast. With automated, from days to mere hours; time can be reduced. That’s simply great, isn’t; it!
Best of 5 AI-Based Test Automation Tools
#1 Testim.io- Automated tests have become easy; all thanks to disruptive technologies such as machine learning and its authoring, execution, and maintenance aspects. This tool in particular emphasizes on functional, end to end testing, and user interfaces testing. With more runs and increases the stability of test suites, nothing can stop the tool from becoming smarter. In fact, complex programming logic can be written hassle-freely by Testers using JavaScript, Python Libraries and HTML.
#2 Appvance- If you are seeking around for a tool that makes the most of Artificial Intelligence? Look no further than Appvance! Based on user behavior, the tool generates test cases and performs a portfolio of tests which covers aspects right from what actual end-users do on production systems. You can count on me on this, the tool is 100% user-centric.
#3 Functionize- Functionize is no different much like others even this one has the potential to create tests quickly (without scripts), carry out in-depth analysis and execute multiple tests in minutes. Artificial Intelligence simply works wonders with every passing day and organizations which still find themselves contemplating whether they should adopt it wholly into their practices or not. It’s high time now! Go for it!
Apart from being confined to assisting software testers, artificial intelligence will be seen applicable multiple industries especially the ones which are involved in delivering top-quality products to the market.
Author Bio:
Olivia Diaz is working at eTatvaSoft, an Enterprise level Web & Mobile Application Development Company. An avid reader and a passionate writer, She shared her ideas on path-breaking IT solutions, current IT trends and much more. Please visit here for more details about the company
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