There was a time when DevOps was completely a new term in app development sphere. The businesses were rather confused on whether or not to implement this concept in the development of the apps for their clients. These days, it has become inevitable to implement the DevOps concept into the app development phase to make sure that the apps do not have issues at the end of the phase.
Moreover, the fashion is gone when testing was required at the end of the development cycle only. As research goes on this issue, it has been concluded that if testing goes hand-in-hand with the whole development phase, things become a lot more easier than expected.
Before we proceed to the types of testing in automation, let’s go through the benefits that one gets from DevOps:
● Rapid delivery
● Improved collaboration
Types of Automation Testing tools of 2019 are: In this blog post, we will discuss about the automation methods or predictions that are sure to come out successful for the projects of the clients of app development in 2019. Without any further ado, let’s get to the types of automation testing:
Management of results with testing dashboard:
It can be a headache to handle large automation projects that produce thousands of test results a day, preparing panels and reporting solutions is essential for analyzing and managing results. Historically, this feature has been provided with traditional testing software. These tools work well with standard and raw data, such as test cases, but are not comprehensive enough to effectively report automation-specific errors such as script problems or application changes in app development. That's why we anticipate the Log Management Platform, as Elastic Stack will be widely accepted next year. These tools can collect, search, analyze and visualize combined logs from different machines and detect statistical anomalies that require attention.
Intelligent AI automation testing tools:
Artificial intelligence tools have been used for a long time in almost every IT product. For example, computer vision technologies such as OCR and KeyPoint are useful for identifying user interface elements when conventional automation tools do not recognize object-level interface elements. However, in 2019, artificial intelligence tools will become popular year after year, next year the productivity of automation engineers will be significantly improved based on AI data. This happens in many ways. By actively detecting changes at the interface and code level, we can reduce the test failure. Automatically combining and analyzing test results is especially useful for projects in app development that perform thousands of tests overnight. Create automatic tests based on various sources, such as standard text test cases, application log files, test results, etc.
There are many Automation tools available, but most of them are separate or hardly supported by a range of technical skills. Business tools have many features that can be used immediately, but they can't work together or work with WebDriver.
BLE and PWA for effortless testing:
With new technologies such as Progressive Web Apps and Web Bluetooth, web applications can achieve the same excellent user experience as mobile applications. This is why developers are expected to gradually change mobile native app development, as developers can easily provide better and consistent user-experience on all the devices. There is a good news for testing engineers. Because the network is very strong, less work is required to ensure coverage of the device.
At the same time, the test plan should also be extended to Bluetooth and hardware communication tests. In 2019, the tester searches for open source projects such as Web Bluetooth to allow web applications to speak directly to mobile devices using communications standards such as Bluetooth Low Energy (BLE).
Less Use of Selenium in 2019:
They are the five most important forecasts for the 2019 testing and automation in app development. We look forward to seeing newer and more exciting ways and tools that require quality assurance organizations to change existing processes to increase efficiency. Although the strongest trend is expected to rebuild the industry, others will surely be replaced by better ones.