Developing Software Quality Metrics as a Data Scientist - 5 Lessons Learned | HackerNoon

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'Developing Software Quality Metrics as a Data Scientist - 5 Lessons Learned' softwarequality datasciencecareer

Can we use this fact in developing software quality metrics?

Note that the words quantile and percentile are often used interchangeably in practice, and there is a discrepancy between the actual statistical definitions.2 Software quality metrics need to measure every step When I started developing the software quality metrics during my internship, I tried to find ways of measuring the software quality that would be computationally efficient, yet precise. I couldn't help it.

It was amazing to see how easy it was to collaborate with people and how much value they provided to the overall process. In most school systems worldwide, you are often assessed on your individual outputs. There are some collaborative projects here and there, but most of us learn to rely on ourselves.

 

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