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How during the pandemic we optimized vaccine production and delivery process?

It was an honour and a great challenge to work for a pharmaceutical company that provided vaccines to populations around the world. Automated testing allowed us to fulfil our tasks. We now are certain that C&F knows how to work under time pressure and in completely new times, which the pandemic years certainly were.

1 min read

The Challenge

During the pandemic, our client, a global pharmaceutical leader, needed to optimise its COVID-19 vaccine production and delivery processes. Our client had to rapidly implement business applications in order to increase production efficiency. This was an urgent, large-scale, mission critical operation.  Production could not be interrupted, but at the same time, we had to ensure the software was totally reliable — this meant performing thousands of tests in real-time.

Problems to solve

Our client required an agile, efficient and continuous testing approach. The project was particularly demanding, as the effective management of staff working remotely was a new challenge in the early stages of the pandemic. Other significant issues included:

  • Slow manual testing
  • Long development times for automated tests
  • Insufficient automated tests in total QA activity

The solution

We solved these significant issues by developing a set of automated tests to verify both new functionality and regression by:

  • Improving the client’s software delivery process and configuring automated tests for all testable stories developed in sprints
  • Introducing a “Release on Demand” approach
  • Establishing automated testing processes based on Agile testing principles, e.g., Test Pyramids, Three Amigos Meetings, etc.
  • Implementing a process based on Behaviour-Driven Development and the Gherkin syntax
  • Developing a custom platform with an advanced data module and custom Selenium packaging which increased testing stability

Results

We ran 2100 automated tests covering 92% of user stories. This resulted in:

  • 60% shorteroverall testing time
  • 25% fastertest development time
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