Conference Presentations

STAREAST 2018 Automated Testing for New-Gen Digital Interactions: Chatbots, Alexa, and Siri

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 API Testing: How to Write Tests, Integrate into CI, and Track What You're Testing

Some developers and testers think that APIs, whether internally developed or not, should just work. Unfortunately, without a significant amount of focus on testing API services, one little flaw can spell disaster for your application—especially security vulnerabilities where hackers will target your application. Elise Carmichael discusses the risks of not fully testing APIs, how to be sure that all services are tested fully, and the types of negative testing you need to do on APIs. She shows you a method to organize your tests using Postman, a tool for REST web services testing. During this session, Elise and the participants will write some Postman API tests with variables and then execute the tests with Newman, a command line application for running Postman tests that you can include in continuous integration scripts.

Elise Carmichael
STAREAST 2018 AR and VR for Mobile Apps: Are You Ready to Test?

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 Embedding Performance Engineering into the CI/CD Pipeline

A difficult challenge organizations face when adopting continuous integration/continuous delivery (CI/CD) is ensuring that every build has been evaluated for performance. Although most organizations do performance testing, how they do it and when they do it define their readiness for deploying in fast-paced environments. Anjeneya Dubey’s team faced similar challenges and found ways to embed performance engineering as part of their CD pipeline. To achieve this objective, they made changes to processes, technologies, and culture. They added non-functional requirements to “normal” requirements and built a performance engineering platform for each API. This platform automates the performance tests, provides a centralized database for metrics, and automatically analyzes pass/fail on builds, based on dynamic thresholds.

Anjeneya Dubey
STAREAST 2018 Manual Testers Can Thrive in a Test Automation World

As technology organizations seek to automate more testing, manual software testers may feel that they have little or no role in test automation. And QA managers struggle with how to engage their manual testers on automation projects. Jeanne Schmidt provides tips on how manual testers can become the testing guides for the whole team. They can assess tests are appropriate to automate, create comprehensive and safe test data, report automated test results, and lead the automation test process strategy. Jeanne offers practical guidelines on how testers can learn test automation strategies, and how to build valuable and maintainable automated test scripts. She details specifically how testers can add value not just by testing but also by helping teams improve the quality of their applications.

Jeanne Schmidt
STAREAST 2018 Not Your Parents’ Test Automation: Application of Non-Traditional Automation

Most software organizations have a test automation initiative—some just beginning and others humming right along. Typically, these initiatives focus on traditional automation—using a software package to automate test cases or user stories. However, if you use only the traditional approaches to automation, you will miss opportunities to exploit the complete powers of automation. Paul Grizzaffi shares real-world examples where non-traditional automation or “automation assist” approaches, including high volume automated testing, have provided high business value testing in his company. He highlights instances where traditional methods could not have provided the same level of testing. Paul shares thoughts to keep in mind when implementing automation assists and demonstrates examples of helpers he’s created from tools not traditionally used for test automation.

Paul Grizzaffi
STAREAST 2018 Automated Testing: Beyond the Basics

You've been through some initial test automation training or bootstrapping, and now, a few months down the road, you find you’re spending a lot of time chasing intermittent test failures and maintaining your codebase. You're frustrated and losing trust in the automated tests. Sound familiar? Jim Holmes helps you find approaches that may save your sanity—all based on his years of experience and hard knocks. Beyond the test automation basics like waits, find logic, or basic page objects, Jim takes a dive into more advanced test automation approaches and methods—custom-designed APIs, Selenium Grid techniques, parallel execution to scale up test suites, and coding automated tests using software craftsmanship principles. Jim promises that you'll leave this session with new and practical tips and techniques you can apply to your own automated testing. It’s definitely time to go beyond the basics!

Jim Holmes
STAREAST 2018 Transformation from QA to Engineering: Testing in the Fast Lane

Are you being asked to shorten your testing timelines? Do you feel pressured to increase your test automation coverage but don’t have the time, staff, or budget? How do you as a leader upgrade your team’s skills and technical abilities and still meet your daily release deliverables—without bringing in external resources? Join Jennifer Scandariato as she shares her journey in transforming her company’s QA department into a test engineering center of excellence, where manual testers are now automation engineers who apply automation technologies to expedite and streamline the testing efforts. Their transformation impacted behavior, garnered respect, and increased team quality, while her test labs group—specializing in performance, security, accessibility, and localization efforts—stabilized deliveries.

Jennifer Scandariato
BSE Testing Mobile Testing: What—and What Not—to Automate

Organizations are moving rapidly into mobile technology, which has significantly increased the demand for testing of mobile applications. David Dangs says testers naturally are turning to automation to help ease the workload, increase potential test coverage, and improve testing efficiency.

David Dang
BSE Testing Machine Data Is EVERYWHERE: Use It for Testing

As more applications are hosted on servers, they produce immense quantities of logging data. Quality engineers should verify that apps are producing log data that is existent, correct, consumable, and complete. Otherwise, apps in production are not easily monitored, have issues that are...

Tom Chavez


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