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What can disrupt mobile app testing in future?

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.

Note – Intelligent Digital Mesh is in the Gartner’s Top 10 Strategic Technology Trends for future from last couple of years.

Gartner – Top 10 Strategic Technology Trends for 2017
Gartner Top 10 Strategic Technology Trends for 2018
Gartner Top 10 Strategic Technology Trends for 2019
Gartner Top 10 Strategic Technology Trends for 2020

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AI in Test Automation – Part 1

AI in Software Testing

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.

Artificial intelligence ( Machine learning, Computer Vision & Natural language processing) can help in speeding up the automation test scripting, analysis and maintenance.

Below are some of the examples of how Functionize is using AI which helps in delivering Quality@Speed:

  1. Faster test creation: Write tests in plain English (no, not Gherkin) and the framework with identify the objects by analyzing the DOM and perform actions. Example below:
    • Open xyz.com
    • Enter Username “abc”
    • Enter password “asdf123”
    • Navigate to Contact module.
    • Click in person record “Braidy”
  2. Self Healing Scripts: Framework identifies the script failure reasons(due to change in object properties) and give your suggestions on fixing the scripts or fix the script by itself?
  3. Autonomous Testing: All you need to do is – place a their tracking widget in your web app. Functionize will automatically create new test cases based on how live users interact with your site.

I am sure this short post will give you some ideas – how AI/ML can make our life easy and can help in delivering fast with quality.