How Healthy is Your Codebase? Introducing Code Health and Biomarkers for Software
We at Empear make heavy use of CodeScene ourselves.
We at Empear make heavy use of CodeScene ourselves.
The earlier we can catch any code quality issues, the better.
Behavioral code analysis is a young discipline.
Static code analysis is valuable in finding code that is overly complex, violates a specific style guide, or contains error prone constructs.
My work on code analytics started 10 years ago, and the CodeScene analysis tool has been my main focus for the past 4 years.
Four decades ago, Fred Brooks coined what we now know as Brooks’s Law: ”adding human resources to a late software project makes it later”.
Many organizations spend significant parts of their development budgets in parts of the code that are more expensive to extend and maintain than they have to be.
CodeScene’s traditional usage as a project management tool is to detect areas of your codebase with excess costs.
CodeScene is a behavioral code analysis tool that serves as a data-driven project management software.
These days it’s probably easier to track down the mythical Yeti than to find a software organization that hasn’t adopted some form of agile practices.
When we started developing CodeScene, our overall goal was to show that there is more to code than code; we wanted to highlight–and make actionable–all the information that is invisible in the code itself.
Watch CodeScene run the latest analysis results of your favorite open-source project.
Behavioral code analysis is a young discipline.
Security vulnerabilities correlate with low code health, development hotspots, and a high author churn in the organization.
Complex code slows down development productivity, increases the delivery risk, and leads to excess maintenance costs.
Four decades ago, Fred Brooks coined what we now know as Brooks’s Law: ”adding human resources to a late software project makes it later”.
