STARCANADA 2019 - Test Techniques
Thursday, October 24
Testing in Production
How do you know your feature is working perfectly in production? If something breaks in production, how will you know? Will you wait for a user to report it to you? What do you do when your staging test results do not reflect current production behavior? In order to test proactively as opposed to reactively, why not test in production?! By testing in production, you will have an increased accuracy of test results, your tests will run faster in production due to elimination of mock/bad data, and you will have a higher confidence before releases. You can accomplish this through feature...
Reality Driven Testing in Agile Projects
Many agile teams rework previously deployed stories, even after plenty of in-sprint testing. Well groomed, refined, stories framed with typical, alternate and error scenarios, gracefully described in well formed gherkin, continue to encounter all sorts of bugs. Software engineering consultant, Rob Sabourin, often sees rework in over 20% of deployed stories. In this presentation Rob shows how agile teams can drive rework down dramatically, often achieving near Zero rework after a story is DONE. Rob teaches teams to identify and implement relevant testing activities above and beyond those...
Testing Uncertainty—and a Chatbot Named Ginger
PreviewUncertainty has always been a key challenge for testers. But testing a chatbot adds a completely new level of uncertainty. There are a lot of platforms and tools available for chatbot development, but what we lack is a standardized chatbot testing strategy. The way testing is performed on chatbots differs a lot from "traditional" testing (like for an app or web portal) due to the apparent randomness of a conversation with a chatbot. From testing numerous clients' chatbots and her company's own, named Ginger, Rajni Singh has experienced that it is impossible to anticipate all the...