Testing Peers
Testing Peers is a growing community of ~60 peers in testing, software quality, agility, test leadership, engineering management, and broader software development. We’re united by a shared goal: to drive quality in everything we do within our workplaces and beyond. Through collaboration, accountability, and mutual support, we strive to elevate one another both professionally and personally.
The Testing Peers podcast is now expanding beyond its original four hosts, David Maynard, Chris Armstrong, Russell Craxford and Simon Prior, striving to represent the voices of a diverse and thriving community. Our inaugural in-person conference, PeersCon, launched in Nottingham in March 2024 and will return in March 2025, further solidifying Testing Peers as a not-for-profit, by testers, for testers initiative.
Testing Peers
Testing Models
Welcome to another episode of the Testing Peers. On this episode, we talk about our experience with models for testing. This takes us down the journey of identifying the models we have found most useful during our testing careers.
Before diving into the main topic, David asks us what our first model of car we owned was, which was a fun trip down memory lane, particularly for our resident petrol head (Russell!). Chris certainly wins the award for the biggest death trap out of the 4 of us.
Chris introduces the main discussion, and mentions how models sometimes come across as a way to sell a solution which may not fit in everyone’s context. The original Spotify Model gets a mention for scenarios where others have tried to prove it works in their context.
Simon gives the obligatory mention to his “Culture of Quality” model and David talks about the key to using models is to use the best bits and evolve it into your own solution.
We do discuss some of the models in the testing world from the Automation Pyramid to the catalogue of models created by Dan Ashby. Dan has created models which we have all used and have made our testing better! Thanks Dan!
We discuss our experience with creating models and how they work better when created to solve a problem, and evolve it as its being used.
What models have been helpful for you? How do you go about creating models for your own use?
Thank you for listening. We appreciate all your feedback.
We hope you found the discussion useful and would love to hear your feedback.
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