STAREAST Virtual+ 2020 - Big Data, Analytics, AI/Machine Learning for Testing
Monday, May 4
Artificial Intelligence and Machine Learning Skills for the Testing World
PreviewSoftware continues to revolutionize the world, impacting nearly every aspect of our work, family, and personal life. Artificial intelligence (AI) and machine learning (ML) are playing key roles in this revolution through improvements in search results, recommendations, forecasts, and other predictions. AI and ML technologies are being used in platforms for digital assistants, home entertainment, medical diagnosis, customer support, and autonomous vehicles. Testing practitioners are recognizing the potential for advances in AI and ML to be leveraged for automated testing—an area that...
Tuesday, May 5
Testing Strategies for Microservices
Software development is trending toward building systems using small, autonomous, independently deployable services called microservices. Leveraging microservices makes it easier to add and modify system behavior with minimal or no service interruption. Because they facilitate releasing software early, frequently, and continuously, microservices are especially popular in DevOps. But how do microservices affect software testing and testability? Are there new testing challenges that arise from this paradigm? Or are these simply old challenges disguised as new ones? Join Tariq King as he...
Thursday, May 7
AI in Testing: A Moderated Panel Discussion
Artificial intelligence is the newest trend in software testing. But what is it, and how will it impact the tester's role, both today and in the future? What do you need to do to embrace this emerging technology? Adam Auerbach will moderate this panel discussion—which will include Jason Arbon, Jennifer Bonine, and Tariq King—to give you an opportunity to hear the opinions of industry leaders about AI in testing. You will have a chance to drive the debate, so come prepared with all your AI questions.
Testing Uncertainty for a Conversational AI
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. Rajni Singh has experienced that it is impossible to anticipate all the situations that can happen during a...
A Seismic Shift in Software Testing: Rise of the Machines
PreviewEven sophisticated businesses struggle with software testing. End-to-end (E2E) testing, though vital, has remained a costly and inconsistent method of catching bugs. But there’s a light at the end of this tunnel. Advances in machine learning (ML) have increased test execution speed and stability. Now, technologies are emerging that allow machines to analyze live user traffic to produce test cases—using data to focus E2E testing on what users care about. In time, these technologies will be stitched together to allow machines to own the entire E2E testing process. This seismic shift...