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A Good Run!

“We got a good run from the tests” the tester stated. “So what’s the story?” the scrum master asked. “85% Pass” comes the reply, meekly. “OK, just need to fix that 5% then.” The scrum master announces before striding off to announce that the team is only a couple of % away from success. Our tester takes a moment to try and process the exchange… Firstly , their own words: “We got a good run” Why had they said that? Well - in a sense - it was true. They had executed the tests before, and they had returned a much higher failure rate. But the code being checked was the same... OK, so there were at least 3 obvious ways to interpret the data. The app code meets the criteria checked by the tests. ( Based on test run 2 ) The app code does not meet the criteria checked by the tests. ( Based on test run 1 ) The tests are as reliable a the toss of the coin. ( Based on both test runs ) Its surprising how unlikely people are to choose (3). Secondly , the scrum

Build, Test, Ship, Learn, Rinse & repeat.

Ever feel like your team is in a deadlock? The product owner wants Gizmo+ to be shipped, your senior engineers are split between grokking Gizmo+ and fixing Widget++ . Meanwhile the SDETs are franticly updating automated checks/BDD scripts and exploratory testers are uncovering that Widget+ and Gizmo+ should have been named ...+10 given the number of surprise bonus features they are finding. As a consequence feature delivery can start to slow and quality is inevitably hit as difficult decisions are made on what to fix. The typical reactions to such a situation can depend on your project's context, but to highlight a few common ones: Ramp up team size. Push back on deadlines. Push back on new features. Delay releases until 'it all gets sorted' ... I don't have to break it to you that these options are 'far from optimal'. In summary they all revolve around costing more and delivering less (from my time as a programme manager I can tell you - thats wha