InfoQ Homepage Testing Content on InfoQ
-
Yes, I Test in Production (And So Do You)
Charity Majors talks about testing in production and the tools and principles of canarying software and gaining confidence in a build, also instrumentation and observability .
/presentations/testing-production-2018/en/mediumimage/charity-major-m2-1553253740450.JPG)
-
Unit Testing Strategies & Patterns in C#
Bill Dinger discusses design principles and ways to make C# code testable, as well as using testing tools such as Moq, Autofixture, & MsTest.
/presentations/csharp-testing-strategy-tools/en/mediumimage/Bilbig-1552872432373.JPG)
-
Break Things to Fix Things: Testing More than What "Should" Work
Ijeoma Ezeonyebuchi discusses how to test an application in unexpected ways, concluding with a live demo inviting members from the audience to try and test some applications in the wild.
/presentations/mobile-testing-apps/en/mediumimage/Ljebig-1546831137355.JPG)
-
Crisis to Calm: Story of Data Validation @ Netflix
Lavanya Kanchanapalli discusses safe data propagation at Netflix, circuit breakers, data canaries and staggered rollout effective, and efficient validations via sharing data and isolating change.
/presentations/data-validation-netflix/en/mediumimage/Lavbig-1546564580081.JPG)
-
Mocking .NET without Hurting Its Feelings
John Wright discusses two main types of mocking frameworks: constrained frameworks (like RhinoMocks and Moq) and unconstrained frameworks (such as Typemock Isolator and Telerik JustMock).
/presentations/net-mocking-framework/en/mediumimage/Jonbig-1544390712665.JPG)
-
AI for Software Testing with Deep Learning: Is It Possible?
Emerson Bertolo discusses lessons learned when using pre-trained Convolutional Neural Networks (CNN) models, Image Detection APIs and CNN's built from scratch for this purpose.
/presentations/software-testing-deep-learning/en/mediumimage/emerson-bertolo-m-1544625558541.jpg)
-
Bootiful Testing
Mario Gray and Josh Long discuss how to test Spring applications, services, and web applications, ensuring that API producers and API consumers work well together.
/presentations/test-spring-apps-services/en/mediumimage/Marbig-1544244537945.jpg)
-
Testing Your Message-Driven Application
Marcin Grzejszczak and Jakub Pilimon discuss using events as integration messages in a system, addressing content-negotiation, versioning and acceptance tests.
/presentations/testing-events-integration-messages/en/mediumimage/Doibig-1543797261423.JPG)
-
Consumer-Driven Contract Testing with Spring Cloud Contract
Olga Maciaszek-Sharma, Eddu Melendez discuss Spring Cloud Contract, showing its capabilities to keep producers and consumers working together correctly and avoid breaking the integration between them.
/presentations/spring-cloud-contract/en/mediumimage/Olbig-1543025027380.JPG)
-
Testing the Endpoints of Your REST APIs
Tonya Cooper discusses how to test REST API endpoints through unit testing the controllers and integration testing with Postman.
/presentations/rest-api-testing-postman/en/mediumimage/Tonya-Cooper-m-1542269850780.jpeg)
-
Git Gud with Property-Based Testing
Katie Cleary describes her experience in using Property-based Testing as a way to find casting and overflow bugs in PolySync’s Open Source Car Control (OSCC) project.
/presentations/git-property-base-testing/en/mediumimage/Katbig-1537827889926.JPG)
-
Debugging Microservices: How Google SREs Resolve Outages
Adam Mckaig and Liz Fong-Jones talk about how SREs discover and debug problems at Google during outages, and share real stories about their experiences.
/presentations/google-debug-microservices/en/mediumimage/Adam-Mckaig-Liz-Fong-Jones-large-1536578858449.jpg)