UI-licious, a Singapore-based startup that improves on mechanized UI testing for web applications, reported today it has brought $1.5 million up in pre-Series A subsidizing. The round was driven by Monk’s Hill Ventures and will be utilized to develop UI-licious’ item advancement and advertising groups.
Established in 2016 by Shi Ling Tai and Eugene Cheah, UI-licious serves organizations, everything being equal, and its present customers incorporate Daimler, Jones Lang LaSalle and tech enrolment stage Glints.
Tai, UI-licious’ CEO, said that regarding 90% of programming groups around the globe depend on manual testing, which is both tedious and costly. UI-licious empowers clients to compose test contents in pseudocode, or a language that is like plain English and along these lines open to individuals with little programming experience.
Programming groups would then be able to plan how frequently the tests run. UI-licious’ restrictive keen focusing on test motor backings all programs and permits similar contents to be run regardless of whether there are changes in a web application’s UI or hidden code. It likewise delivers definite blunder reports to lessen the time expected to discover and fix a bug.
At the point when asked how UI-licious thinks about to other robotized UI testing arrangements, Tai told TechCrunch, Coded arrangements require a prepared architect to review the site’s code to compose the test contents. The issue is that most programming analyzers are not prepared software engineers, now and then they might be the showcasing or outreach group that possesses the task. And keeping in mind that there are other no-code arrangements that permit non-software engineers to record their activities and replay it, such tests will in general become old rapidly as the UI changes.
UI-licious’ selling point is that it is intended to make it open for anybody to mechanize UI testing and set up mistake alarms without having to realize how to code, she added. UI-licious likewise diminishes the push to keep up the tests as the UI code changes with its keen focusing on test motor.
In press explanation, Monk’s Hill Ventures accomplice Justin Nguyen said, Co-organizers Shi Ling and Eugene have built up an item to address the quality confirmation gives that have tormented the product robotization industry for quite a long time, adding that “the group’s insight as computer programmers has outfitted them with the specialized information and bits of knowledge to construct a straightforward and hearty instrument that enables manual analyzers to mechanize testing and distinguish bugs before clients do.
