Overview About Qa Madness

QA Madness conducted functional and negative testing for an e-learning platform, checking for the defects or inconsistencies in the functionality. The QA team prepared the strategy for testing the product on RPi (provided by the client) and checked the core features in Super Admin, Coach, Learner, Guest, and server package scenarios.  The tested product was an open-source educational platform designed to provide offline access to a wide range of open-licensed educational resources for low-resource contexts (rural schools, refugee camps, orphanages, etc.) and non-formal school programs. The name of the company will not be disclosed due to the client’s request. 

Lunaphore is a Swiss firm that explores the potential of automated solutions for cancer research. The company develops software and hardware for ultra-fast tissue analysis. Lunaphore has invented a unique microfluidic technology, Fast Fluidic Exchange Technology (FFeX), that lies at the core of its innovation.  The QA Madness team prepared testing documentation for functional and GUI testing of the software that operates the laboratory research device. This documentation fully covers product requirements and can be easily used by other specialists, including those who were not initially involved in the project development.

Virtusize is a Tokyo-based company that develops solutions for e-commerce businesses. The product QA Madness worked with is an extension that helps a user choose the best clothing size and fit online, making shopping easier. An Automation QA Engineer was to test API service and accompany the transition from Python 2 to Python 3 in short time limits.  All previously existing and newly designed API endpoints were covered with functional and integration autotests created using Tavern and Pytest. The QA engineer also ran regression testing to ensure that third-party services continue functioning as supposed after migration. It helped the product team improve endpoint data traceability and implementation of the application business logic, supporting a smooth transition to Python 3.