Cyclomatic complexity is a quantitative measure of the linearly independent paths in source code that can help you understand the complexity of your program and improve code coverage There are various ...

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 ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. This article dives into the happens-before ...

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...

Among programmers, there has long been a dispute between those who want a language to constrain them and those who want great flexibility. If you have been programming for a while, you'll understand ...

GitKraken Insights delivers contextualized engineering intelligence spanning DORA metrics, code quality, AI impact, and developer sentiment—at up to 80% lower cost than other SEI solutions.

One of the areas of embedded software development that engineers seem to struggle with is testing. Engineers often get excited about the design and implementation phases but when it comes to proving ...

Improving the quality and changeability of software is often a mammoth task. To make their work easier, developers can fall back on code-specialized tools for code analysis and visualization, such as ...

SAN FRANCISCO--(BUSINESS WIRE)--Loggly, the maker of the world's most popular cloud-based, enterprise-class log management service, today announced Loggly 3.0, a unified log analysis and monitoring ...

Apple has published three interesting studies that offer some insight into how AI can improve workflows, quality, and productivity for developers.