I tend to see technical debt discussed in a hand-wavy, fuzzy way, in which it's taken for granted that everyone knows exactly what it means, and why it's obviously bad. I'd like to put the onus on software developers to quantify the impacts of technical debt and what the business impacts are of paying it off.
"It's going to be easier to make changes later."
How would we prove that it's "hard" now? Is the average number of files changed per pull request higher than it should be? How would we prove that it's gotten "easier" later? What will the average number of files changed in a pull request be after changes are "easier"?
"We can move faster."
How would we prove that we're "slow" now? How would we prove that we've gotten "faster"? Will the number of story points completed per sprint go up? Is that a valid way of measuring efficiency or productivity?
If you're thinking to yourself, jeez, it's really hard to quantify these things, it's going to be equally as hard to convince someone non-technical to fund our work on technical debt. Unfortunately, the hard truth is that as long as we're unable or unwilling to quantify technical debt, then we can't really complain about the business not wanting to pay us to work on it.
We developers tend to grumble that "business people" don't understand code quality, but we have to be honest and admit that in equal measure we probably don't understand "the business" either.
As Martin Fowler points out…
Sadly, software developers usually don't do a good job of explaining this situation. Countless times I've talked to development teams who say "they (management) won't let us write good quality code because it takes too long". Developers often justify attention to quality by justifying through the need for proper professionalism. But this moralistic argument implies that this quality comes at a cost - dooming their argument. The annoying thing is that the resulting crufty code both makes developers' lives harder, and costs the customer money. When thinking about internal quality, I stress that we should only approach it as an economic argument. High internal quality reduces the cost of future features, meaning that putting the time into writing good code actually reduces cost.
We, of course, know that code quality has real impact on users, but it's on us to dispense with emotional appeals and instead make the connection clear to economic outcomes.
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