Improve code quality with Future Processing Frequently Asked Questions Key takeaways High-quality codeis robust, maintainable, and makes software resilient to technological changes, while poor code quality leads to obsolescence and technical debt. Code quality is measurableusing metricslike readability, mai...
When practicing Inspections one should always work to achieve effectiveness first, then, while maintaining high effectiveness, work to improve the efficiency. Throughout the book we learn that this is the desired two-step with Inspections: first effectiveness, then efficiency....
How Unit Testing helps us to improve Code Quality. At Cashfree Payments, one of the places where unit testing comes to the rescue is to keep the functionality intact in an internal library project where multiple teams would contribute and consume. Each PR would have unit tests added to ensure...
These key DORA metrics are used to help a DevOps organization understand where it stands and how it can improve. The first and most important aspect is to understand where your team is today. From there, setting the path to become an Elite performer and improving your DORA metrics will be ...
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What to test We recommend adopting a testing strategy that tests managed servicebehaviors, cloud configuration, security policies, and the integration with your code to improve software quality.Behavior testing, also known as black box testing, verifies a system works as expected without knowing all ...
It’s worth discussing all of this with the team before development – during code reviews, architectural changes are very difficult to repair. You can also consider using a tool likeMinify JS / CSSto optimize your front-end code and improve load times. This online compressor reduces the size...
Here are five actionable steps you can take to improve test automation coverage: Identify which tests to automate Choose the right testing tools Select the right test coverage technique Establish metrics for evaluating automated test coverage
Azure will take the data in the testing dataset, submit it to the model, and compare the output to how you labeled your data to determine how well the model performed. The result of that comparison is how your model gets scored and helps you know how to improve your predictive performance...
You can’t improve the inherited code overnight. But, you can take gradual steps to improve it. It helps to first understand why the code must be reused. If it's due to financial or resource constraints, there's not much you can do other than to get on with it. The risk of disrup...