A lot has been done, developed and delivered to improve the scope of testing the software products. However, there have still been glitches and errors that often go unidentified and hence, impact the overall functioning of the software program.
Understanding the entire scenario, Testplant, a London-based organization that helps the companies to develop amazing digital experiences for the users by keeping them at the center of software testing, had launched its very own Eggplant Digital Automation Intelligence Suite.
With an ability to interact with a software just like a real user, this tool allows to test the product’s real user experience based on features like performance and usabilityas well as generate tests automatically at UI and API level for enhanced productivity. Along with these, it also allows one to manage the test environment, managing the large-scale execution of the tests and create a predictive analytics to comprehend the ways in which a change may impact the users at a broader level.
There are a number of other ways in which Eggplant AI will benefit the testing process such as advanced-level algorithms to identify bugs, massive increase in productivity, full-range testing without any additional efforts and allows one to focus more on improving UX.
Taking a leap forward with Eggplant AI 2.0
The good news here for those in the world of software testing is that the company has now come up with a new and higher version of the tool – Eggplant AI 2.0. The new tool makes use of AI, machine learning and analytics to smartly steer through applications and identify the places where there are higher quality issues to occur. The tool also allows for quick identification and fixing of issues by helping the product teams to correlate the data easily.
Until the launch of this comprehensive tool, testing a software product thoroughly was almost impossible as this required the testing team’s estimating the places where the issues were most likely to occur and then test the same manually using automated test scripts. This, in turn, always had a scope of missing out on places where a user could possibly navigate and hence, a higher chance of unidentified errors.
Eggplant AI 2.0 has been launched with a number of advanced features that take away all this hassle away. Available with enhanced features that allow for easy bug identification, the tool’s machine learning algorithms have specifically been designed to identify places where problems are most likely to occur and auto-generation of the tests to test the user-journeys.
Smoke testing is another essential need of the software testers and Eggplant AI 2.0 fulfills this need. Also known as ‘Build Verification Testing’, smoke testing includes a set of non-exhaustive tests that help in ensuring that the product’s most important features work efficiently. This tool allows its users to easily define these must be executed ‘directed’ tests and also combine the manually-defined regression tests and AI-based tests.
Building a better future
It’s not just the product that can define the success of an organization. But, it actually is the extent to which it proves beneficial to the user and meets their needs. Therefore, it is important that a product is rigorously tested before it is delivered in the market and Eggplant AI 2.0 makes it much easier. The tool is truly a future of testing and it is important that the testing teams get used to it as this is what may define their success in near future.