Data-Driven Engineering

Explore how Big Data is revolutionizing software engineering in this 50-minute GOTO Chicago 2019 conference talk. Discover the concept of treating releases as controlled experiments, complete with hypotheses, measurements, and conclusions. Learn how to leverage data from each release to drive future improvements. Delve into methods for testing non-functional requirements such as usability, performance, and resilience using data-driven approaches. Gain insights into data-driven engineering practices, including product management, systems testing, and the controversial topic of testing in production. Examine the scientific process applied to software development, observational studies, and controlled experiments. Understand the differences between traditional software development lifecycles and continuous experimentation. Explore the cultural shifts necessary to embrace data-driven engineering practices and their impact on return rates and overall software quality.

Intro
What is DataDriven Engineering
DataDriven Product Management
DataDriven Systems
Testing in Production
Unit Tests
Test Functions
Testing and Production
Dont Test in Production
Why Test in Production
Conclusion
Continuous Experimentation
Return Rates
Scientific Process
Observational Study
Controlled Experiment
Software Development Lifecycle
Differences
Process
Continuous Experiment
Culture