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Features

What are the behavioral factors of quality code?

Static code analysis only takes into account the code itself in regards to code quality. With CodeScene you can gain deeper insights into dev team dynamics by visualizing how individual authors and teams impact your code, from file ownership to output metrics.

For code analysis that takes the human element into consideration.

Knowledge distribution dashboard

CodeScene's core features for team dynamics and behavioral code analysis

How well does your team know the code?

Knowledge distribution and risks

CodeScene's knowledge distribution dashboard keeps track of important developer team dynamic metrics such as key personnel distribution, personnel risks, low code familiarity, and where  bottlenecks may occur between team and personnel coordination. Knowledge metrics are based on the amount of code each developer has contributed and where.

Website Knowledge Risks Visualization
Website Conways Law Visualization

Achieve proper alignment

Team/code alignment with Conway's Law

Our Conway's Law visualizations show you how aligned your dev teams are with your system architecture. View primary authors, knowledge risks, technical sprawl, and more. Understand the level of your team cohesion by visualizing whether members work on the same parts of the system.

Features

Team/code alignment with Conway's Law

Our Conway's Law visualizations show you how aligned your dev teams are with your system architecture. View primary authors, knowledge risks, technical sprawl, and more. Understand the level of your team cohesion by visualizing whether members work on the same parts of the system

Conways Law - Primary Team

Consider the bus factor

Offboarding simulations

What will happen to your knowledge distribution, team dynamics, and code maintainability if key personnel should leave your organization? CodeScene's offboarding simulations can show you the impact of having too many knowledge islands and other risks.

Website Offboarding Simulation Visualization
Team dynamics

More great features

Delivery

Measure delivery effectiveness

Measure development throughput in the context of organizational trends based on Brook's Law.

User

See aggregate author statistics

Get an overview of developer output with contribution statistics and patterns per author.

Coordination needs

Discover team coordination needs

See if your teams have excess parallel development and where you have high fragmentation value.

Users

View file ownership by author

Drill down into your code base to understand primary authors / owners for modules and files.

Features

See our behavioral code analysis features in action

Code familiarity, knowledge islands, conway's law and more. See how developer team metrics impact your code quality and can lead to potential risks

Ready to see how team dynamics affect your code quality?

Talk to an expert about how team dynamics insights can help you make better staffing and resource allocation decisions.

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Resource center

Check out our blog

Use Guardrails for AI-Assisted Coding

Use Guardrails for AI-Assisted Coding

AI-assisted coding is still in its early stages. This article explores the immediate and future impacts of integrating AI assistants into t...

6X improvement over SonarQube - Raising the Maintainability bar

6X improvement over SonarQube - Raising the Maintainability bar

CodeScene surpasses SonarQube by 6 times on the public software maintainability dataset, scoring 83% vs. SonarQube's 13.3% using F-score.

CodeScene Receives Best Paper Award at the International Conference on Technical Debt

CodeScene Receives Best Paper Award at the International Conference on...

CodeScene awarded Best Paper at the 7th International Conference on Technical Debt 2024 for groundbreaking insights in the field of technic...