Test Design

Articles

Rebuilding 4 Steps to Rebuilding a Testing Team: Bringing Stability to Chaos

When you join a new project, sometimes you’re brought on to clean up the mess, rebuild the process, and bring stability to the team. Raj Subramanian has been in this situation several times, and he’s noticed four steps you can immediately follow to reduce disruption and get the project on track. Here’s how you can bring order to team chaos.

Raj Subramanian's picture Raj Subramanian
Volkwagen car emissions What IoT and Embedded Device Testers Can Learn from the Volkswagen Emissions Scandal

In 2015, it was discovered that Volkswagen had equipped millions of its cars with software to cheat on diesel emissions tests. It was a team of independent testers that uncovered the fraud. Jon Hagar tells testers what they can take away from the scandal and gives some recommendations to consider in order to improve the test industry for IoT and embedded systems.

Jon Hagar's picture Jon Hagar
Machine learning Testing a Moving Target: How Do We Test Machine Learning Systems?

Most machine learning systems are based on neural networks, or sets of layered algorithms whose variables can be adjusted via a learning process. These types of systems don’t produce an exact result; in fact, sometimes they can produce an obviously incorrect result. So, how do you test them? Peter Varhol tells you what you should consider when evaluating machine learning systems.

Peter Varhol's picture Peter Varhol
Mob testing group Amplified Learning with Mob Testing

Just like with mob programming, mob testing is all about a group of testers coming together and collaborating. A lot of our testing knowledge is tacit—it’s in our heads, built from our years of experience. With the combined experience of everyone in the group, we get the best possible approaches to the testing task at hand.

Maaret Pyhäjärvi's picture Maaret Pyhäjärvi

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