How we’re winning the battle against flaky tests

Testing is a crucial part of maintaining a code base, but not all tests validate what they’re testing for. Flaky tests—tests that fail sometimes but not always—are a universal problem, particularly in UI testing. In this blog post, we will discuss a new and simple approach we have taken to solve this problem. In particular, we found that a large fraction of most test code is setting up the conditions to test the actual business-logic we are interested in, and consequently a lot of the flakiness is due to errors in this setup phase. However, these errors don’t tell us anything about whether the primary test condition succeeded or failed,

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Accelerating Iteration Velocity on Dropbox’s Desktop Client, Part 2

In our previous blog post on investing in the Desktop Client platform at Dropbox, we discussed the challenges of trying to innovate and iterate on a product while maintaining high platform quality and low overhead. In 2016, Dropbox quadrupled the cadence at which we shipped the Desktop Client, releasing a new a major version every 2 weeks rather than every 8 weeks by investing in foundational improvements. These efforts tended to illustrate one or both of the following themes:

  1. Reduce KTLO work: “Keeping The Lights On,” or KTLO, includes manual tasks such as setting configuration parameters,

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