* There's another intermediary concept (kernel density estimation) between the audience and the data
* They're still likely to misrepresent tight groupings and discontinuities, which will be smoothed out
620 karma · joined July 27, 2010
* There's another intermediary concept (kernel density estimation) between the audience and the data
* They're still likely to misrepresent tight groupings and discontinuities, which will be smoothed out
Easier context switching, less dealing with extra added complexity between coding the issue and fixing it etc.
That it's also the most difficult or commonly ignored part of Scrum might also be relevant.
That's too good a story not to have just a little more detail. Are you willing to share more?
Now I consider them to be just as "real" as the integers - which is not at all. Both just human-invented concepts with no fundamental physical basis.
As you point out - useful, though!
But Inkscape's UI seems pretty intuitive?
Can you imagine seeing this ten years ago? Moving so far in such a short time frame would have been unbelievable.
This gave me the "I'm actually living in the future" vibes that I always imagined I'd get from flying cars.
You might not want to assume that. There are other reasons to write ambiguously with excessive and unnecessary ornamentation:
* Everyone else in your field does it, and you want to write in a familiar style
* You hope people confuse the advanced vocabulary in your writing with an advanced argument and it will bolster your credibility
* Pretension: you want to feel clever whilst writing it, or appeal to those who will feel clever whilst reading it
All of those are perfectly valid to my mind - even writing verbosely for the sheer love of the language is fine.
I just don't think this article does any of that well.
Just bad writing.
I think it's even worse than that - those unnecessary processes only exist to try to help management attempt to manage content they don't understand in the first place.
And I say this as someone who regularly implements said delivery processes for customers.
EDIT: I thought I'd double check that since it's been a while since I studied physics formally; apparently it is possible to model light nuclei[1] (up to four nucleons) from the ground up now!
[1] https://en.m.wikipedia.org/wiki/Ab_initio_methods_(nuclear_p...
[1]
It takes markdownish input but converts it to rich text as you type - so asterisk-space starts a bullet point list, etc.
I actually can't remember if it has a dedicated markdown mode anymore; the rich text editing supports the usual shortcuts that mean I tend to stick with it.
There are lots of things where Jira falls short, but the pain points on an under-resourced self hosted instance of ten years ago are nothing like the ones you'll find on Jira cloud today.
You can absolutely work to find other creative solutions to the same problems, or understand what scope is acceptable to cut to meet some goal. That's very different from "I want you to do exactly the same work but just do it faster".
I've been using chrome profiles to separate these because the Firefox ones were a little clunky; for some reason it never occurred to me to create shortcuts per profile. Thanks!
This looks like a really good way of getting people to practice cost-of-delay based prioritisation in a structured, reproducible way that doesn't involve formulas or maths.
In my experience, if there's a problem with the engineers then all of the process in the world won't fix it.
1. Be pull based - someone only picks something new up when they have the capacity to do so. There's no "finish this set of tasks by the end of the sprint" because there are no sprints, just priorities
2. Manage work-in-process, either explicitly or implicitly. This prevents the team working on too many things at once, which leads to any given piece of work taking a long time to get to production
I've seen (and managed) plenty of Scrum, good and bad. In general I prefer Kanban approaches, but I don't think it's the deciding factor in team performance by itself.
I'm interested to see when we reach the point where it's no longer the default methodology everyone reaches for because "Scrum is how you do agile".
It works because your stakeholders see that you're actually delivering what you said you would _when_ you would, and that gets you the buy in and authority to run the team in a sane and sustainable manner.
For what it's worth, I prefer Kanban in most cases - but both are just different ways of managing WIP, utilisation and delivery time.
However, your example is unrealistic - you wouldn't split that task into two. If it won't fit comfortably in the sprint it waits for the next one.
It varies hugely by team and process, but where scrum/sprints are a good fit a reasonable first level of sprint loading seems to be a limit at about 70%. E.g. if an engineer has ten days available to work in a sprint, no more than 7 days of estimated work are pushed their way. The other 30% is assumed to be code reviews, meetings, pairing, bugfixing etc.
If that 70% is too high or low, it can be adjusted.
For everything else, there's Kanban.
Have you come across The Last Question? Another favourite:
https://www.mit.edu/people/dpolicar/writing/prose/text/think...