The Cost of Code: Bridging the Gap between Tech and Business
CodeScene’s project management metrics let you measure where you spend your costs and how the development activity shifts over time.
CodeScene’s project management metrics let you measure where you spend your costs and how the development activity shifts over time.
Many organizations transition to short lived feature branches and employ practices like continuous integration/delivery.
A codebase under active development evolves at a rapid pace, and as soon as the organization scales beyond 10-12 people it’s virtually impossible for a single individual to maintain a holistic picture of the system.
CodeScene lets you uncover and prioritize code that’s hard to maintain or parts of the code that become team productivity bottlenecks.
The CodeScene analysis engine runs on git repositories.
CodeScene’s primary use is as a tactical tool to make technical and organizational decisions around your codebase.
Part 4: Scale-up - Analyzing Patterns in the Evolution of Linux
Part 3: Time - The Hidden Dimension of Software Design
Today I patched a monster.
Part 2: Novel Techniques to Prioritize Technical Debt
Part 1: Predict Maintenance Problems in Large Codebases
These days it’s probably easier to find a winged unicorn than a software organization who hasn’t adopted Agile.
Watch CodeScene run the latest analysis results of your favorite open-source project.
Code quality is a largely subjective concept filled with misbeliefs.
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”.
The CodeScene analysis engine runs on git repositories.
Complex code slows down development productivity, increases the delivery risk, and leads to excess maintenance costs.