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USE CASE

Detect and correct delivery risks

CodeScene uses a machine learning algorithm that is trained to detect technical risks while weighting in on the social side of code such as the experience of the developer doing the changes. Use this information to plan preventive measures such as extra code reviews and tests. You can also setup a separate CodeScene analysis and just focus on the work being done on the branch.

THE PROBLEM

Long-lived branches are at odds with continuous integration. They also increase the risk for merge conflicts and unexpected feature interactions. This can result in bottlenecks and process loss.

THE SOLUTION

CodeScene's behavioral code analysis helps visualize branching activity, measure lead times, and predict the delivery risk of individual branches. Use this information to guide decisions and plan preventive measures.

Benefits of this feature

Get an overview of branching activity

Measure branching activity of the past two months to help you stick to a shorter development process and avoid risks of merge conflicts or unexpected feature interactions.

Get an overview of branching activity

Get an overview of branching activity

Get an overview of branching activity

Measure branching activity of the past two months to help you stick to a shorter development process and avoid risks of merge conflicts or unexpected feature interactions.

Identify early signs of trouble

Highlighting deviations from how you typically work on branches helps identify early signs of trouble. The Delivery Risk score identifies technical risks while considering the social side of code, like developer experience.

Landing section - Identify early signgs of trouble-1

Identify early signs of trouble

Landing section - Identify early signgs of trouble-1

Highlighting deviations from how you typically work on branches helps identify early signs of trouble. The Delivery Risk score identifies technical risks while considering the social side of code, like developer experience.

Get insights on the work being done on a particular branch

 

Identify early signs of trouble and deviations from how you typically work on branches. Useful insights on the work being done on the branch, help support important decisions especially when you’re close to a critical deadline.

Groups - Delivery risks (L)
  • Checklist Identify deviations from how you typically work on branches
  • Checklist Use the delivery risk value to detect technical risks
  • Checklist Consider the social side of code, such as developer’s experience
  • Checklist Postpone the merge of high-risk branches

Use behavioral code analysis to plan preventive measures

 

Behavioral code analysis helps detect the process loss automatically and prioritize verification activities. Use early warnings to re-plan the scope and focus extra code reviews and tests on the highlighted branches.

Groups - Delivery risks (R)
  • Checklist Detect process loss automatically with early warnings
  • Checklist Use early warnings to re-plan the scope
  • Checklist Reduce lead times and minimize risks
  • Checklist Prioritize verification activities

More ways to use CodeScene

Identify, Prioritize and Manage Technical Debt

 

A codebase under active development is a moving target that’s going to change over time, which makes it difficult to manage technical debt. CodeScene lets you identify, prioritize and manage technical debt by giving you relevant and actionable information that you can turn into business value.

View use case

Improve the Code Health of your Codebase

 

CodeScene analyzes your existing code and helps you set code health improvement goals. Start with an initial analysis, get actionable and prioritizes insights and track progress toward your goals.

View use case

Automate Code Reviews

CodeScene integrates with pull requests to provide feedback and detect code quality issues via an automated code review. This integration helps development teams by serving as a quality gate and early feedback loop.

View use case

Improve Team Efficiency


Go beyond the code and consider the organization and people aspect of the system. With CodeScene, you can gain insight into the information invisible in the source code itself, such as coordination, communication and motivation. Use this information to address coordination needs and bottlenecks.

View use case

Support Development Teams


Many organizations struggle with technical debt and code quality issues. CodeScene was developed to support development teams by providing them with actionable and continuous feedback loop for engineering decisions based on data.

View use case

Minimize Developer On & Off-boarding risks


Simulate a planned off-boarding and detect any risks before they turn into issues. Use this information to guide the on-boarding process and support re-planning and re-prioritizing efforts.

View use case
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The new identity revolves around our vision to “give code an intelligent voice” and reflects our forward-looking culture. The new logo reinforces the idea of artificial intelligence and CodeScene being there as an extra team member, guiding you toward better software and teams.

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We are proud to share this new identity with our community and hope that it will inspire all of us to write better code, build happier teams and future proof our software.