49:38
Intro to Property-Based Testing
Shane Charles discusses Property-based Testing, a method used to cover many possible input values and edge cases for Unit Testing.
47:16
Addressing Security Regression by Unit Testing
Christopher Grayson covers unit testing solutions that are both integrated into tested codebases as well as solutions that can test deployed codebases from a black box standpoint.
01:01:17
Testing Spring Boot Applications
Phil Webb discusses the new features added to Spring Boot 1.4 to help with testing, how to do unit testing, how and when to involve Spring in tests, and useful tools and libraries.
48:50
RxJS 5 in Depth
Gerard Sans explains RxJS' data architecture based on reactive programming, exploring Observables API using RxJS koans and unit tests. RxJS 5 focuses on performance and usability.
36:19
The Mechanics of Testing Large Data Pipelines
Mathieu Bastian explores the mechanics of unit, integration, data and performance testing for large, complex data workflows, along with the tools for Hadoop, Pig and Spark.
43:21
Mutate Your Code and Reveal Your True Test Coverage
Pawel Sawicz suggests putting tests to the test by mutating the code to see if the codebase is properly covered by tests and how errors are propagated.
01:31:27
Using Groovy & Spock to Develop Tests as Assets not Afterthoughts
Brian Westrich shows examples of testing anti-patterns, including redundant testing, white box testing, and using the wrong type of test double. All examples are in Groovy and Spock.
33:42
Joy of Testing
John Hughes presents automated techniques that can improve testing, focusing on what the code should do rather than which cases should be tested, with war stories from Ericsson, Volvo Cars, and Basho.
51:38
Spectrum Testing - Unit to Browser before Deploy
In this talk Alan Blount gives a quick overview of the main categories of testing and how they may apply to various web application projects.
28:16
Kill the Mutants - A Better Way to Test Your Tests
Roy van Rijn explains what mutation testing is and how it works, comparing several Java frameworks (PIT, Jester, Jumble) that enable automatic mutation testing in a continuous build.
01:38:02
What We Talk About When We Talk About Unit Testing
Kevlin Henney discusses unscalable tests, tricks and tips that make tests more specification-like and scalable to large codebases, and choosing between scenario-based and property-based test cases.
01:00:09
Applying Reactive Programming to Existing Applications
Ben Christensen discusses the mental shift from imperative to declarative programming, working with blocking IO such as JDBC and RPC, service composition, debugging and unit testing.
