Automation Testing using Python with a BDD Approach

A mid-sized BigData company, faced challenges in ensuring consistent application quality. Frequent miscommunication between developers, QA teams, and business stakeholders led to incomplete or incorrect feature implementations. The company decided to adopt BDD to enhance communication between technical and non-technical members and improve test coverage while using Python for its simplicity and extensive library support.

The challenges

➔ Challenge: Initial resistance from team members unfamiliar with BDD.

Solution: Conducted training sessions and provided comprehensive documentation.

➔ Challenge: Managing flaky Selenium tests.

Solution: Implemented implicit and explicit waits to handle dynamic elements.

Architecture

Results

The BDD approach improved collaboration and ensured all stakeholders had a shared understanding of the requirements.
Automation reduced manual testing time by 60%, allowing for faster releases.
Readable Gherkin scenarios made it easier for non-technical stakeholders to validate tests.

Company overview

Client name: Conﬁdential
Services: Online Shopping
Technology: Pytest, Selenium, Behave library
Industry: E-Commerce
Location: USA