Normal, Mean, and Deviant: Basic Statistics for Testing - Amber Race
3rd April 2019
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Locked
Amber
Talk Description
Are you in the proper mode to find your median, or do you just feel mean? Whether you are trying to judge if your application is ready for the Christmas shopping season or validating a machine learning algorithm, an understanding of statistics can help you be a more effective tester. In this talk, Amber will draw on nearly 20 years of experience with testing everything from handwriting recognition algorithms to high volume game APIs to show how a few basic statistical concepts can move your testing beyond just average.
By the end of this session, you'll be able to:
- TBA
Amber Race is a Senior SDET at Big Fish Games.
After majoring in Asian Studies, teaching in Japan, and travelling the world, she happened into software testing and has been loving it ever since. She has nearly 20 years of testing experience at Big Fish and Microsoft, doing everything from manual application testing to tools development to writing automation frameworks for web services.
Amber has worked on a wide variety of products and written automation in C#, C++, Python, and Java.
She currently specialises in test automation and performance testing for high volume back-end services supporting iOS and Android games.
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