Conference Presentations

BSE Testing Mobile Testing: What—and What Not—to Automate
Slideshow

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
Slideshow

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
BSE Testing Your DevOps Goal: A Culture Shift, Not Just a Toolset Implementation
Slideshow

Becoming a DevOps shop isn’t just about hiring DevOps engineers and implementing a new toolset. It’s about changing the culture of your organization. Patrick Turner believes that your focus for DevOps should be to bring a cultural shift throughout the organization—up to the business team...

Patrick Turner
STARCANADA Testing Blunders in Test Automation
Slideshow

In chess, the word blunder means a very bad move by someone who should know better. Even though functional test automation has been around for a long time, people still make some very bad moves and serious blunders. The most common misconception in automation is thinking that manual...

Dorothy Graham
STARCANADA Testing Defining the Optimal Level of Test Automation
Slideshow

Test 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...

Jim Trentadue
STARCANADA Testing Machine Learning: Will It Take Over Testing
Slideshow

Machine learning (ML), a branch of artificial intelligence, is gaining widespread adoption and interest on software development projects. Paul Merrill says that ML isn't typical programming. Algorithms can be changed and checked for accuracy at runtime to “learn” from data.

Paul Merrill
STARCANADA Testing Automating Performance Testing at Every Step
Slideshow

A major insurance company is building its next-generation claims system and has fifty new APIs to test in twelve months. The entire effort is launched as a first-time agile project with continuous integration. Will the load test, which worked so well with waterfall, serve us when we build...

Obbie Pet
STARCANADA Testing Leverage Big Data and Analytics for Testing
Slideshow

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...

Geoff Meyer
STARWEST Testing Test Automation for Data-Centric Applications
Slideshow

Test automation, one of several key technical enablement practices, allows teams to be more successful in their agile journeys. Although there are many test practices and automation tools available for software development teams to leverage, few data-centric testing tools are targeted to...

Cher Fox
STARWEST Testing Machine Learning: Will It Take Over Testing?
Slideshow

Machine learning (ML), a branch of artificial intelligence, is gaining widespread adoption and interest on software development projects. Paul Merrill says that ML isn't typical programming. Algorithms can be changed and checked for accuracy at runtime to “learn” from data. Some companies...

Paul Merrill

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