There are various factors that can contribute to the complexity of a type or a method pertaining to a type in your application’s code. Cyclomatic complexity is a popular metric that is used to ...

Analyzing software metrics is an important facet to predicting quality in test system software as it helps to reduce complexity. Metrics analysis provides a quantitative assessment of how well the ...

Other metrics, such as code complexity numbers, are likely to be added in the future. More information about the project is available at the marketplace entry.

Complexity is a direct indicator of software quality and costs: if the complexity for any code is high, the quality of that code will be lower and it will cost more to manage it. Complexity ...

Traditionally, conditional complexity metric testing is recommended during the implementation phase to ensure code quality. The idea is that every function in the program is analyzed and provides a ...

NCover 3.0 improves performance in areas such as coverage loading. It also integrates branch coverage into the Explorer, improves method visit coverage and adds cyclomatic complexity, a metric that ...

This month, I look at metric_fu and some of the code-analysis tools it makes available to Rails programmers. It's true that metric_fu is “just” a wrapper for these individual tools, but by making them ...

GPT-5’s arrival on the scene adds an important new dimension to the landscape, so we have updated our analysis to include it.

Including unnecessary functionalities increases the code’s size and complexity, ultimately leading to wasted resources. Library laziness?