The Importance of Artificial Intelligence in Software Testing
1. Automating Visual Validation Image-based testing, which makes use of automated visual validation tools (e.g. Applitools), is becoming more and more popular with every passing day. There are numerous machine learning-based visual validation tools available that can detect minor user interface anomalies that are likely to be missed by human eyes.
The primary goal of user interface testing is to ensure that each UI element is visually appealing, has the appropriate shape, colour, size, and position, and does not physically overlap with other UI elements on the screen. Even a simple ML test can detect and report on all of these visual bugs, eliminating the need for a tester to intervene.(more…)
Applitools is Next generation test automation platform powered by Visual AI. This tool can help you in Increase quality, accelerate delivery and reduce cost with the world’s most intelligent test automation platform.
This tool is now one of the most demanding test tools in the parket. UntimateQA is offering a free course on applitools. All folks who are currently working on Selenium should undergo thos course. Link to course: https://courses.ultimateqa.com/courses/applitools (website seems still under development, but you can enroll the course)
Training ContentPart 1: Getting started
00-Course overview
Course prerequisites
03 Course syllabus
How to download and install Visual Studio
Create Applitools account and install Nuget packages
In STC 2019 conference, pCloudy hosted a contest “What can disrupt mobile app testing in 2025?”. I participated and won the contest. Below are my thoughts on mobile app testing in 2025:
Intelligent Digital Mesh:
Intelligent Digital Mesh is the mesh of people, devices, digital content and services. It will transform the mobile businesses and apps.
1. Intelligent apps use AI and machine learning to interact in a more intelligent way with people and surroundings. A recent example is Google’s Motion Sense feature in pixel 4 (radar-based technology developed by Google) where you can control apps on mobile by moving hand/fingers in air without touching the mobile screen.
Soon this will be adopted by mobile apps and the challenge will be how to test such features. Next is what if we implement AI/ML in Motion Sense tech where system learns the user gestures.
2. Conversational platforms (like Alexa, Google Assistant, Siri) when integrated with digital twins or AR/VR and mixed reality are changing the way that people perceive and interact with the digital world and devices.
3. Block chain, event driven when combined with AI/ML and Conversational platforms will make the testing further complicated.
We need to build strong AI/ML automated algo for mobile testing to test all the above mentioned stack.
A couple of years back, the focus of Testing was “Shift Left”. It is still the focus for the companies who are not able to adopt the Shift Left practices.
Now after Shift Left / CI/CD, Automation tool companies are now looking how to bring intelligence in Test automation which can help in better test coverage and delivering quality at speed.
In this post, we will go over some intelligent features of Functionize and how they are using AI in bringing intelligence in automation and efficiency in Quality and Delivery.
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