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2 days ago by wotek
Automated code reviews & code analytics | Codacy
Check code style, security, duplication, complexity and coverage on every change while tracking code quality throughout your sprints.
automation  code  analysis  quality  coverage  code_review  development  service  github  scala  ruby  java  javascript  python  php 
3 days ago by keimlink
Highlights on "quality," and Deming's work as it applies to software development
"""
The reason it's so important to differentiate between special and common causes is that the way you respond to them is completely different. Special causes are usually caused by, and thus can be fixed or avoided by, low-level individual workers, in the case of manufacturing or repetitive work. In software (although Deming doesn't talk about software), special causes are weird bugs that only trigger in certain edge cases but cause major failure when they do. Special causes can often be eliminated by just fixing up your processes.

Common causes are simple variation inside your normal statistical distribution. It's tempting to try to fix these, especially when you're unlucky enough to get an outlier. Wifi throughput got really low for a few seconds, lower than two standard deviations fro the mean, isn't that weird? We got a surprisingly large number of customer service calls this week, much more than last week, what did we do wrong? And so on.

The great insight of Deming's methods is that you can (mostly) identify the difference between common and special causes mathematically, and that you should not attempt to fix common causes directly - it's a waste of time, because all real-life processes have random variation. (In fact, he provides a bunch of examples of how trying to fix common causes can make them much worse.)

Instead, what you want to do is identify your mean and standard deviation, plot the distribution, and try to clean it up. Rather than poking around at the weird edges of the distribution, can we adjust the mean left or right to get more output closer to what we want? Can we reduce the overall standard deviation - not any one outlier - by changing something fundamental about the process?
"""
statistics  quality 
3 days ago by aapl
Better Code Hub
Better Code Hub guides you in writing Better Code.
development  github  service  code  java  javascript  python  ruby  c++  php  swift  go  quality 
4 days ago by keimlink
BirthTools | Tools to Optimize Outcomes of Labor Safely
BirthTOOLS presents the evidence and offers targeted resources, protocols and other materials to assist clinicians and health care systems in implementing best practices that promote physiologic birth.

To encourage all professionals involved in maternity care to implement process improvements that support, promote and facilitate physiologic birththrough dissemination of actionable resources, case studies and examples.

Taken together, these valuable resources on the BirthTOOLS site have been compiled and collated to make it easy for maternity care professionals to implement the changes that are needed to improve spontaneous birth rates in the United States.
birth  obgyn  midwife  protocol  labor  quality  safety  improvement  toolkit 
5 days ago by pgorrindo
Highlights on "quality," and Deming's work as it applies to software development
A quick trip to Amazon brought me to Deming's last book, The New Economics for Industry, Government, Education, which wins the dubious award for "most overpriced e-book by a dead guy I have ever seen." But on the other hand, if it's that expensive, maybe there's something good in there, so I bought it.

It was even better than I thought. I've never highlighted so many passages in a single book before. I don't even like highlighting passages in books. And this is a pretty short book. It gets right to the point, demolishing everything I thought I knew. (It also includes some well-placed jabs at Six Sigma, a management technique supposedly based on Deming's methods!)
quality  development  manufacturing 
6 days ago by micktwomey

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