Articles

Metal gears 6 Steps for Succeeding with Test Automation in Agile

Lots of test automation efforts in agile software development fail, or at least do not maximize their potential. This article looks at two main reasons test automation may not live up to the expectations that testers and other stakeholders in the agile development process have, then outlines six steps to avoid falling into these traps. Here's how to succeed with test automation in an agile environment.

Bas Dijkstra's picture Bas Dijkstra
Integration overview path Who Should Set Up Continuous Integration for Automated Tests?

If you want to trigger long-running, end-to-end automated tests, you must integrate the test execution system with the continuous integration system. But this job falls in a fuzzy area that meets at the nexus of feature development, test automation development, quality assurance, and build and release engineering. Here's how to decide who should be responsible for the setup.

Ajeet Dhaliwal's picture Ajeet Dhaliwal
Four yellow pipes Continuous Delivery Is Not a Pipeline

Pretty much everything you hear about DevOps mentions “the pipeline.” Continuous delivery is not really about the pipeline, however. Continuous delivery is about two things: testing strategy and branching strategy. The pipeline is important; it is an integral part of DevOps. However, the central element is the practice of testing continually using automated tests.

Clifford Berg's picture Clifford Berg
Power button Simplify Continuous Operation Tests with a Periodic Reboot

Continuous operation tests find important bugs, partly as a result of their long operation and partly by increasing the probability of finding statistical bugs. However, CO tests have their own downsides. Mandating a periodic reset or reboot can work around these issues, as well as save time and cost for testing, reproduction, debugging, and fix verification.

Michael Stahl's picture Michael Stahl
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's picture 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's picture 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's picture 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's picture Nels Hoenig
Metrics dashboard on a tablet For Great Performance, Rethink Your Load Testing

The word concurrency is often used to define workload for load testing, as in concurrent users. Too often, it's the only input defined. In reality, there are a number of factors that contribute to workload and affect concurrency, and they all contribute to your load testing abilities—and, ultimately, the performance of your product.

Tim Koopmans's picture Tim Koopmans
Infinity symbol Has Continuous Deployment Become a New Worst Practice?

Software development has been moving toward progressively smaller and faster development cycles, and continuous integration and continuous deployment are compressing delivery times even further. But is this actually good for businesses or their users? Just because you can deploy to production quickly and frequently, should you?

John Tyson's picture John Tyson

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