Agile driven Test Automation for FULLBEAUTY Brands™

Published onFebruary 27, 2016

Challenges

FULLBEAUTY Brands™ has 8 Web applications and 7 Mobile sites for 7 of their e-commerce brands. FULLBEAUTY Brands™ switched to agile software development to deliver new functionality faster to customers. Manually testing 1000s of test cases across multiple platforms, browsers & devices proved to be extremely time-consuming and unconducive. FULLBEAUTY Brands™ needed automation to reduce test cycle time and improve test coverage.

Solution

Softcrylic studied the existing Dev and QA environment and identified the critical improvements to be addressed as per the business priority of stakeholders. Softcrylic implemented its proprietary test automation platform, Automate-On, and other open-source testing frameworks such as Selenium and Appium. The regression testing that checks for functionality and visual consistency has been automated with minimal testing time. Automation improved the test coverage considerably. Softcrylic also took care of manual testing of analytics tags, consolidation, and automation of 100s of test cases with FULLBEAUTY Brands™’s automation engineers.

Client Profile

FULLBEAUTY Brands™ is the most trusted, comprehensive resource for plus-size women and men seeking fashion inspiration, style advice, and clothing, tailored to their individual needs. There are 7 Proprietary brands under the FULLBEAUTY Brands™ umbrella, an online marketplace offering a curated collection of the finest brands and thousands of products to their consumers.

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Softcrylic

Softcrylic is a data consulting firm that is part of Hexaware. We bring a unique combination of strategy and engineering to the ever increasing complex problem of data. We tackle data challenges at the level of data capture and validation through data modeling and activation. We help organizations further benefit and understand their data through our engineering expertise on Microsoft Azure and Amazon AWS alongside Hexaware’s extensive experience and capacity in Engineering and AI.

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