STARCANADA 2017 - Big Data, Analytics, AI/Machine Learning for Testing
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Tuesday, October 17
Human Factors for Test Automation: How People Affect Project Success
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Innovation: Evolving and Expanding Your Creative Capabilities
Innovation is a word frequently tossed around in organizations today. The standard cliché is “Do more with less.” People and teams want to be innovative but often struggle with how to define, prioritize, implement, and track their innovation efforts. Jennifer Bonine shares the Innovation Types model to give you new tools to evolve and expand your innovation capabilities. Find out if your innovation ideas and efforts match your team and company goals. Learn how to classify your innovation and improvement efforts as core (to the business) or context (essential but non-revenue generating)....
Wednesday, October 18
Defining the Optimal Level of Test Automation
NewTest automation scripts are largely run against stable functionality with repeatable results. But automation does not have to be just about running reliable tests against a fixed code base to make them effective; rather, you can determine the right level of automation you need to meet your project’s needs. Three levels of test automation will be discussed in this presentation: Level 1 tests exercise the simplest aspect of functionality in a module, Level 2 tests explore all module aspects except interfaces to other components, and Level 3 tests examine the deepest level of functionality in...
Improve Test Strategies and Outcomes with Mind Maps
Do you ever sit in test strategy or test plan review sessions and get little or no participation from others? Are you looking for a better way to communicate important information around the test plan or strategy? Do you want your stakeholders to understand and engage in providing feedback and suggestions? Jennifer Bonine has a solution for you—a mind mapping tool that can help you address these questions. A mind map is a visual approach used to help organize information rather than a text outline or list. Jennifer helps you download a free mind mapping tool, trains you how to use the tool...
Machine Learning: Will It Take Over Testing?
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Automating Performance Testing at Every Step
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Are Your Tests Well-Traveled? Thoughts on Test Coverage
There are many places to visit it the world and it can be interesting to see “where you’ve been”. There are many places in software for tests to visit, and seeing “where the tests have been” can be very interesting for testers. Dot Graham explains what coverage is, and why it can be misleading to talk about 100% coverage. Coverage is a relationship between the tests and the software being tested, and is an objective measurement of some aspect of thoroughness of the testing. Dot will discuss the ways in which the term coverage is mis-used, and the four caveats of coverage which every tester...
Testing RESTful Web Services
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Succeeding with Rapid and Continuous Testing
All organizations are running to keep pace with the transformative changes in software development and delivery. You’re on the hook for immediately automating more and more tests to support a more rapid or continuous flow of new features, delivered into production. So, where do you start? Must testers become coders and automate to survive? Must everything be automated? Jeffery Payne argues that the need to automate almost all tests is a misconception. Jeffery explores how automated testing and manual testing are best balanced during rapid and continuous testing. See how you can employ...
Thursday, October 19
Leverage Big Data and Analytics for Testing
Sabermetrics turned the baseball world upside down by challenging decades-old measures of individual performance and their perceived linkage to team success. After cementing their legacy as the Lovable Losers for 108 years, the Chicago Cubs were able to leverage a data-driven approach to finally win a World Series. An Arkansas high school football coach, devoted to statistical analysis, has won three state championships—by never punting. Formula 1 racing teams collect staggering amounts of telemetry data from their race cars for the purpose of eking out seconds during the course of a race...
Getting a Grip on Cognitive Adaptive Testing
NewCognitive Adaptive Testing means harnessing the power of analytics and autonomics in support of continuous delivery. The emergence of cognitive adaptive testing is driven by trends towards omni-channel content delivery, utilization of big data and an improved customer experience. Digital business systems need to be extremely responsive to customer sentiment, work across a variety of devices, be resilient in the face of unpredictable failure modes, and process huge amounts of unstructured data. Such scenarios put extreme pressure on IT systems and processes to be not only more responsive,...
Amp Up Your Testing by Harnessing Test Data
The data tsunami is coming—or maybe it’s already here. Data science, big data, and machine learning are the buzzwords of the day. Data is changing our products and the way we build them, so we should also change the way we verify our products. In a world of increasing connectivity and accelerated deadlines, data can provide an edge. But what role should data play in assessing the quality of software? Where does it make sense to use data, and where is it inappropriate? Steve Rowe covers the history of how data fits into testing, explains why data is an important tool to have in your quality...