test execution

Conference Presentations

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 Word Smatter: Exploring Semantics, Testers, and Problems
Slideshow

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
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 Amp Up Your Testing by Harnessing Test Data
Slideshow

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...

Steve Rowe
STARCANADA Testing Testing RESTful Web Services
Slideshow

A lot of folks doing testing (QAs, BAs, and Devs alike) are experienced with testing applications through the front end—a graphical user interface or a mobile app. However, Hilary Weaver-Robb says that with this type of testing we often miss the internal web services and APIs that power...

Hilary Weaver-Robb
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 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
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 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 Accessibility Standards and Testing Techniques: Be Inclusive or Be Left Behind
Slideshow

While Information and Communication Technology (ICT) accessibility for a wider spectrum of users—including the blind—and their interfaces is being required by law across more jurisdictions, testing for it remains limited, naïve, and too late. The consequences of staying ignorant include...

David Best

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