In my career I’ve found that the “shape” of testing tends to guide the level of abstraction that we put our emphasis at. But what does that mean? What “shape” am I talking about? Well, let’s dig in.
Modern delivery teams using modern product development methods enable making better decisions sooner by treating requirements as tests, which means creating feature specifications. Let’s talk about this.
I was going to title this post “Things That Matter” but that’s a bit too vague. Further, in the previous post on product acceptance I talked about one aspect that falls out of that acceptance-style thinking, which has to do with metrics that matter. So let’s talk about that a bit.
In my last post in this series, I talked about acceptance testing being a core intersection between product development and engineering. So let’s dig into that a little bit more. Specifically, I want to provide a prescriptive framing device that I’ve found to be helpful when getting delivery teams onboard with these concepts.
Product developers know about the “Why Stack” and it’s important that developers and testers are able to work in this context. So let’s talk about this a bit … although I should note I’m going to refine a little bit about how the “Why Stack” is considered, moving it a bit more into where it intersects with how we think about features that we want to develop and test.
In my previous post I talked about how quality assurance and testing are highly aligned with product management and development. There I talked about some injections; here I want to talk about the intersections.
Recently I had a chance to get back into my product development and product management roots. I do believe that quality assurance, and testing, are highly aligned with product management. So in a series of posts I will talking about some of that alignment, often focused on some key concepts. Here I’ll talk about the idea of “injections” that make sense in the context of product management.
Astronomers have been finding lots of planets around other stars, which have come to collectively be called exoplanets. And, as part of that endeavor, they also try to think about finding life on those planets. There’s lots of corollaries here in terms of thinking about testing.
Years ago I asked about what makes testing complicated. At that time I didn’t really have a very distinct nuance between “complex” and “complicated.” But I think my instinct was accurate. So here I want to focus on what makes testing complex (which is often inevitable) and that can help frame what makes testing complicated (which is not inevitable).
Many companies I’ve been at are in a race to see how much like Spotify they can be and apply concepts of Chapters and Guilds. What I routinely see is companies get this bit wrong. Particularly around so-called “quality guilds.” So let’s talk about this.
I’ve often talked about the idea of tests putting pressure on design. I’ve also talked about this idea in the context of code-based testing. Here I want to revisit those concepts while including a cautionary tale about how testing at the code level has its own interesting challenges.
Thankfully most testers that I come across do realize that the notion of having “zero defects” is, in fact, a fallacy. But this notion of something being “defect free” still persists in the wider industry. And it’s important to quash that perception. How I frame this when encountering the thought differs a bit. So here I’ll give a brief overview of various ways I respond.
My original title for this post was “Thinking Clearly About Automation” but I realized there was a wider ambit to that discussion. We have a technocracy that likes to turn testing into a programming problem, suggesting that “manual testing” (testing done by humans) should be automated away as much as possible. That’s a danger. Some testers have combated this by suggesting automation has nothing to do with testing. I believe that’s also a danger.
We often say testers have to “think like an architect” or “think like a builder” or, perhaps even, “think like a developer.” Here’s the problem: to actually think like any one of these people, you have to try to do something they do. So, really, you have to act like a developer. Let’s talk about this and where the testing relevance comes in.