Are you feeling spread thin when it comes time to test your application? Is your team missing deadlines and pushing back releases to validate your product? This is a common feeling. Many organisation suffer from this problem and it manifests itself in many ways. Lets explore what you can do when you’re understaffed or spread too thin for what would normally be considered an acceptable approach to testing.
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The digital infrastructure of the modern IT enterprise is a complex place. New forms of automation are required to support an enterprise that’s growing beyond the capabilities of human management. Once such technology that is appearing on the digital landscape is the service mesh. Those concerned with performance and reliability testing are going to need to have an operational grasp of how the service mesh works, particularly when it comes to routing and retries.
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The Agile Manifesto gives us 12 principles to abide by in order to implement agility in our processes. These principles are the golden rules to refer to when we’re looking for the right agile mindset. But are we getting the right meaning out of them? Let’s examine what we mistakenly hear when we’re told the 12 principles, what pain points the agile team face due to these misunderstandings, and what each principle truly means.
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When someone says the phrase “coding standard,” usually the first thing that comes to our minds is formatting, but of course, coding standards can cover so many more things. We could debate these standards elements, and so many more, for hours on end. Sometimes there’s not even a clear winner among competing choices. Ultimately, you only need to remember one standard, let’s examine further.
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Here’s the video from yesterday’s Continuous Testing webinar, with special guest Paul Gerrard.
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Behavior-driven development (BDD) is part of the development process in my current gig. My experience in BDD is different from many of the stories I hear, as are the things I value about it. I spent some time researching, hunting for authentic stories about using the process and tools, but I only found definitions and information about programming libraries. I couldn’t find an in-depth experience report, so I have written one.
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Lately, my test team have been thinking about automated testing much more. We recently started working with browser-based projects, and with a corporate push toward a DevOps culture, we were considering how we can use automation to drive our testing strategy forward. To help get us started, I attended a tutorial on automation in testing.
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What does enough mean in terms of quality assurance? How much is enough, in terms of money, people, time, and effort? Is there a magic figure? You could put your organization squarely in the red and even still have no guarantees of an issue-free release. And worse, you may find your timeline truncated by delays in the software production. All of this uncertainty makes the issue of enough incredibly nebulous.
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Agile teams need project management and project leaders. However, they don’t need title-based management or leadership. Instead, agile teams need everyone to be a leader. Learn what agile leaders do so you can practice your agile leadership.
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Starting unit testing can be tough. Many questions, misconceptions, and points of confusion torment the beginner. One of the most common of such doubts revolves around amount. How much is enough? Should I aim for 100% coverage? In today’s post, we’ll help you answer these questions, but not by telling you how much is enough. Instead, we’re sort of doing the opposite. We’ll give you tools to identify how few tests is too few.
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