Abhishek Malani

A JavaScript-based library, Cypress, is used to automate an eCommerce website. The framework implemented is Page Object Model (POM). In addition, I also implemented Fluent POM, which enables QA to stitch the tests in a readable format.

I used Cypress because it runs directly on the browser node, taking only 30 seconds, which is a considerable jump in execution time compared to Selenium.

Apart from this significant improvement, Cypress also allows smart debugging on tests and a timeline of events, which helps when you want to see the snapshot of what happened when and how.

The reason for writing boilerplate code is to reduce the time to set up a project. One could set the project using this repo and start automation from day one. This repo gives you insights into how to make Cypress's best use apart from providing plug and play functionality.

A Python-based boilerplate codebase for kick-starting automation using Appium. When I started working on automation, I found that most people use Java or JavaScript for automation. This led me to create and own this repo. This is for all the folks that wanna use Python with Appium.

I felt Python is a very powerful scripting language that can automate almost anything on the go.

While learning AI and image recognition in JavaScript, I created a small app that reads the image, recognizes the objects, and lists them. This was made possible using JavaScript, cocolib, and TensorFlow. The idea behind this learning was to see what AI can do and see how I can leverage this into testing.

I initially thought of using this kind of set up to aid me in visual testing wherein I can test if images on a product page of commerce domain were relevant to the product.