Reality and its obstacles
It is no wonder that the demands of the ever expanding market are huge. Increasingly frequent calls for product updates push companies into ideating and implementing new, more efficient production paradigms, so as to not go into oblivion.
Automation is key in the speeding up of the testing process, and hence, automation software tools are necessary to accomplish this. QA teams have traveled a long stretch from the early days of testing and are now incorporating technologies into their daily work life which might have never even been imagined at that time. Methodologies –still recent in the industry– like Agile and DevOps create the need for automation as well, since they are practices aimed at the speeding up of testing and a continuous testing logic.
The thing is, automation has pretty much –or at least to some reasonable, notable extent– taken the place of manual testing, turboing up the testing process and development in its whole. The power of visual tools (e.g.: model-driven design apps) can let users do things like automating business operations with a simple drag-and-drop instead of having to write any kind of complex code. In contrast, there is consensus, even between the best trained QA experts, that writing those country mile long automation test scripts is a time and energy intense job, since such knowledge acquisition takes months –sometimes years, and besides time, it demands a great deal of mental exertion, putting it very hard for most IT specialists to get their hands on these technologies.
Then the paradox: the contradiction rises between the beneficial purposes of automation and the effort it takes to make it work properly.
Escape the need to write code
Autify beats the difficulties that developers and testers often face.
Of all the possible stressful scenarios a QA team could face when automating test cases, maintenance is one of them. When a small change occurs in the code, breakages in our test suite are certainly bound to happen, sometimes remaining underreported for a long time. This equals a tester/developer having a big headache investigating where –and when!– the failure happened, malinvesting a lot of valuable time –that should be rather invested on more testing and development, on fixing simple changes that caused the trouble in the first place.
The way Autify breaks this statu quo is by putting Artificial Intelligence at the service of the team.
With Autify, testers can be testers, and developers can be developers.
Autify’s AI powered, no code platform provides great ease of use. A powerful recording GUI –to record scenarios– and a UI with simple drag and drop operations, reduces costs in staff training and closes the technological gap for people who can access a job in the IT field.
Autify also has features which are currently in development. The Visual App explorer or Autify VAX is an AI-based module that explores the app and all possible corners. The primary goal of this feature is to create a navigation map. It achieves that by navigating the app based on the visual information presented on the screen. It can find and report bugs and crashes in the app. It may also be used to list reachable/unreachable locations in the app.
AI can no doubt help reduce costs and save time, in spite of frequent UI changes. Maintenance headaches can be exiled to the past, while our test automation experiences dramatic improvements and time to market decreases in an absolutely notable way.
You can see our client’s success stories here: https://autify.com/why-autify