Articles

Testing feedback loop 5 Key Factors to Achieve Agile Testing in DevOps

Part of the path to DevOps requires adoption of agile methodologies. What does it mean for testing when you switch from the traditional waterfall model, with a few long release cycles per year, to the agile model, with changes occurring every two weeks? Here are five key factors to achieve the agile software testing necessary in DevOps.

Denise Rigoni
Icons showing test optimization 5 Ways to Optimize Tests for Continuous Integration

Many teams have existing automated test suites that are not included in a continuous integration program. Maybe the tests take too long to execute, or they are not reliable enough to give accurate results. Here’s how to assess your test suites in terms of value added and time to execute, along with five proven strategies to optimize those suites for CI.

John Ruberto
Hand drawing automation gears For Sustainable Test Automation, Look beyond the Surface

When it comes to achieving sustainable test automation, having an appropriate test automation team structure in place is the most important first step to take. This article has some proven practices for a few different test automation adoption scenarios—led by an automation team or a regression team, and with agile adaptations—that have helped organizations enjoy long-term test automation success.

Maximilian Bauer
Monitoring dashboard with criteria set up Solving Production Issues Using Testing Tools

Standard web-monitoring tools can ping webpages and verify that they’re responding, but they don’t alert you to an issue. But you can use the technology in load testing to monitor your sites by running an interactive script that can detect issues and generate emails as needed. It runs constantly like a silent sentry, never sleeping or taking a vacation, improving your sites' reliability.

Nels Hoenig

Better Software Magazine Articles

Supporting Continuous Testing with Automation Supporting Continuous Testing with Automation

Create tests that can be used in a continuous testing environment, build the right number of tests, and don’t fall victim to the mistaken belief that everything can be automated.

Bas Dijkstra
The Unspoken Truth about IoT Test Automation The Unspoken Truth about IoT Test Automation

The internet of things (IoT) continues to proliferate as connected smart devices become critical for individuals and businesses. Even with test automation, performing comprehensive testing can be quite a challenge.

Rama Anem
Building a Test Automation Strategy Building a Test Automation Strategy

QA departments always feel the pressure to start testing quickly, even if the ever-changing software being tested isn’t ready. A bought-in test automation strategy can keep a project on track.

Justin Rohrman
Test-Driven Service Virtualization Test-Driven Service Virtualization

Because enterprise applications are highly interconnected, development in stages puts a strain on the implementation and execution of automated testing. Service virtualization can be introduced to validate work in progress while reducing the dependencies on components and third-party technologies still under development.

Alexander Mohr

Interviews

Mining a Data Lake to Improve Analysis of Your Test Automation Data: An Interview with Greg Paskal
Video

In this interview, Greg Paskal, a technology innovator in quality assurance, discusses a new open source tool from Elastic Stack that creates a “data lake” that can be mined to analyze the data coming from test automation on a more effective level than pass/fail. 

Jennifer Bonine
Geoff Meyer How Machines Will Impact the Way You Test Software: An Interview with Geoff Meyer

In this interview, Geoff Meyer, a test architect in the Dell EMC infrastructure solutions group, discusses whether or not testers should be nervous about artificial intelligence, what testers can do right now to keep up with the times, and when AI is most useful for software teams.

Josiah Renaudin
Angie Jones It’s Time for Testers to Own the Shift-Left Narrative: An Interview with Angie Jones

In this interview, Angie Jones, a consulting automation engineer, explains what it means to shift your testing left, why management if often in control of how it’s done, and why testers already have the right skills to test earlier in the lifecycle.

Josiah Renaudin
Alon Eizenman Testing with the Lights On: An Interview with Alon Eizenman
Video

In this interview, Alon Eizenman, the CTO and cofounder at SeaLights Technologies, discusses his many experiences with startup companies, how software teams are adapting to the current demand for speed, and why you need data before you take testing actions.

Jennifer Bonine

Conference Presentations

STARCANADA Behavior-Driven Testing Using Page Object Models
Slideshow

Does it feel like you spend half of every sprint fixing failing automated functional tests? Are programmers unwilling to work with automation code? Is test automation a maintenance nightmare? There is a better way. The Page Object Model (POM) is a powerful design pattern for building test...

Brian Hicks
STARCANADA No More Shelfware—Let's Just Drive Test Automation
Slideshow

When Isabel Evans learned to drive a car, she also learned how to check, clean, and change spark plugs, mend the fan belt with a stocking, and indicate speed and direction changes with arm and hand signals. Now, we don’t expect to have to do any of those things; we just drive the car...

Isabel Evans
STARCANADA Everything I Know about Automation I Learned from Saturday Morning Cartoons
Slideshow

Do you remember sitting in front of the television as a kid, enjoying your favorite Saturday morning cartoons? Chris Loder shows you how the lessons we learned from those cartoons apply to our everyday work in test automation. Wait until you hear what we’ve learned from the likes of Scooby...

Chris Loder
STARCANADA What’s Our Job When the Machines Do Testing?
Slideshow

After its highly hyped introduction decades ago and followed by a long, quiet “winter,” artificial intelligence (AI) has slowly crept back into our consciousness. While our Siri and Alexa assistants entertain us, machine learning (ML) has brought new conveniences into our lives...

Geoff Meyer

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