Conference Presentations

Better Software West 2018, Agile Dev West 2018, DevOps West 2018 Taking Your Automation Framework to the Next Level Using Machine Learning
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Automation fails frequently in companies due to a variety of reasons, including poor team communication, lack of skills, flaky tests, and inadequate understanding of test coverage. Even when things are going well, the automated tests sometimes grow to a size where the test suites take too long to execute for the run to be viable. James Farrier is a test automation architect who will show you ways to leverage machine learning to address these challenges. You'll learn how to determine which tests are valuable to run after each commit or build in order to cut down the suite run time, how to automatically close and open defects based on test run results, and how to separate a test into different test runs to keep track of tests in different states. Finally, he will show you how to create a results dashboard that allows for team collaboration and a better understanding of test coverage so that testing can be further streamlined.

James Farrier
STAREAST 2018 Automated Testing for New-Gen Digital Interactions: Chatbots, Alexa, and Siri
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Today’s IT systems communicate with customers through multiple points of engagement and various interfaces, ranging from web, mobile, and voice to BOTs and apps like Alexa and Siri. Sanil Pillai says these systems need to provide seamless handoffs between different points of interaction—while at the same time providing relevant and contextual information quickly. To accomplish this, a team must be able to successfully pair device hardware capabilities and intelligent software technologies such as location intelligence, biometric sensing, and Bluetooth. Testing these systems and interfaces is becoming an increasingly more complex task, and traditional testing and automation processes simply don’t apply to new-generation digital interaction services. Join Sanil as he discusses the testing and automation challenges in new-generation digital interactions using hyperconnected BOTs.

Sanil Pillai
STAREAST 2018 AR and VR for Mobile Apps: Are You Ready to Test?
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Augmented reality (AR) and virtual reality (VR) mobile apps are going to dominate the technical landscape for the next few years. Compared to current mobile apps, testing this new AR and VR technology will require more preparation, more effort, and new tools. BJ Aberle breaks down the methods and tools he uses to test AR and VR applications. Explore test environment requirements and discover the types of test data you’ll need to prepare for AR and VR testing. Learn about Google’s Tango AR platform and BJ’s experiences testing AR apps, including the Tango-based Cydalion app for the visually impaired. BJ shares the pitfalls he discovered—so you can avoid these when starting your AR or VR testing endeavors. Take back a set of new techniques you may be able to apply to streamline your virtual and augmented reality testing efforts.

BJ Aberle
STAREAST 2018 Five Things We’ve Learned from 100,000 Bug Fixes
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Kristel Kruustük
STAREAST 2018 Exploratory Testing: Learn to Do It like a Bloodhound
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Let’s face it—dogs are born to sniff everything. Using their noses, they gather information from other dogs, people, and most everything. We teach dogs to use their noses to find bombs, predict seizures, locate cancer cells, detect drugs, and so much more. When dogs smell, they are not just recording an odor; they get an entire story. Although testers have fewer scent receptors than dogs, Susan Zampino says that we can learn how to gather information like a dog to drive our exploratory testing. Using active audience participation, Susan will stimulate participants to rely on their sense of “smell” during exploratory testing sessions. Learn and practice multiple new techniques to gather information and uncover hidden risks. With some practice and consistent focus on using your technical, business, and testing experiences, you can become a bloodhound exploratory tester.

Susan Zampino
 STAREAST 2018 Continuous Testing vs. Test Automation: Three Key Differences
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The past few years have brought a sea change in the way applications are architected, developed, and consumed—increasing both the complexity of testing and the risk of software failures. Given the trends that impact both architectures (cloud, microservices, and APIs) and processes (DevOps, agile, and continuous delivery), how can software testing keep pace with modern application delivery? Enter continuous testing. Wayne Ariola explores the three main differences between continuous testing and test automation.

Wayne Ariola
STAREAST 2018 AI-Driven Testing as a Service: Fad, Fiction, or Future?
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Advances in artificial intelligence (AI) and machine learning (ML) are leading to a new generation of software, which is becoming self-adaptive, autonomous, and smart. Academic researchers and industry practitioners are investigating how these new AI and ML technologies can be leveraged to improve software testing and testing services. A handful of testing-as-a-service (TaaS) vendors already offer services that use AI bots to perform some functional and performance testing. How well do they live up to their claims? Can they be used as an effective substitute or supplement for human testers? Or is AI-driven testing just another passing trend? Join Tariq King as he discusses the current state-of-the-art in AI-based testing services and explores what this new generation of testing services has to offer. Come see demonstrations of AI-driven testing tools and understand their benefits and limitations.

Tariq King
STAREAST 2018 Automated Testing: Beyond the Basics
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Jim Holmes
BSE Testing Word Smatter: Exploring Semantics, Testers, and Problems
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ers [do|don’t] (help) [prevent|detect] problems.” Throughout his career, Damian Synadinos has encountered many variations of this phrase, which uses just a few small words to express many big ideas. It is important to understand what each word means individually to better understand the...

Damian Synadinos
BSE Testing It's All in Your Head: Use Neuroscience to Improve Performance
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We humans process millions of bits of information each day. In order to handle that data load, our brains have developed shortcuts to take advantage of patterns, shared knowledge, and experience. Unfortunately, sometimes those shortcuts lead us astray, causing us to draw inaccurate...

Faye Thompson

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