Get more out of Code Coverage
Improve Code Coverage
where it matters the most
CodeScene's Code Coverage feature offers more than standard code coverage analysis. It combines coverage metrics to identify and mitigate high-risk areas by integrating with CodeScene analytics and metrics. Plus, it evaluates the sufficiency of coverage for planned refactoring efforts.
Visualize Code Coverage With Context
Code Coverage is a set of metrics that indicate the extent to which your source code is executed by automated tests.
There is no universally "good" coverage score; the ideal level of coverage depends on the context.
Complete Code Coverage Overview Across All Projects
Get a comprehensive overview of code coverage across all your projects in one place with Software Portfolio. Monitor and compare the code coverage of your entire codebase, identify trends, spot potential issues, and ensure consistent quality across your projects.
Whether you’re managing multiple teams or just want a high-level view, the Software Portfolio keeps you informed and in control.
Improve Code Coverage in High-Risk Areas
Hotspots are the most frequently changed areas of your codebase, often with technical debt carrying the highest vulnerability for bugs. Our main KPI, Hotspot Code Coverage helps you focus on improving Code Coverage where it truly matters - in the high risk areas.
For instance, critical hotspots require higher coverage to ensure safe refactoring, while stable and well-understood parts of the codebase can tolerate lower coverage. CodeScene helps contextualize coverage metrics by highlighting these priorities.
Improve Code Coverage in High-Risk Areas
Hotspots are the most frequently changed areas of your codebase, often with technical debt carrying the highest vulnerability for bugs. Our main KPI, Hotspot Code Coverage helps you focus on improving code coverage where it truly matters - in the high risk areas.
For instance, critical hotspots require higher coverage to ensure safe refactoring, while stable and well-understood parts of the codebase can tolerate lower coverage. CodeScene helps contextualize coverage metrics by highlighting these priorities.
Mitigate risks
Identify feature areas with low coverage before planning refactoring tasks. For example, refactoring a complex hotspot that doesn't have adequate test coverage would be high risk.
Detect deeper issues
CodeScene lets you combine your views to identify hotspots that have low code coverage, low Code Health, and many defects. That way, you can communicate the needs for pro-active improvements.
Explore organizational or project level
Quickly see if a project has decreased in code coverage and, if so, find out why and how to address it. Also follow progress on organizational level in conjunction with Code Health metrics.
How our Code Coverage differs?
Improve Hotspot Code Coverage
Through the concept of Hotspots, improve and explore code coverage where it matters most - in your code's hotspots: the most frequently changed modules.
Combine with Refactoring Targets
Integrate Code Coverage metrics to decrease risks when performing refactoring to decrease technical debt using CodeScene.
Recommended Code Coverage Improvements
Integrate CodeScene insights on high-risk code, high frequency of changes, and your team's knowledge. CodeScene will suggest areas where to enhance your code coverage.
Support across multiple tools and formats
Get Code Coverage tracking for Cobertura XML Format, LCov/GCov Format, Clover XML Format, JaCoCo Format, OpenCover Format, BullsEye, Ncover.
Decrease technical debt with refactoring
Understand if your planned refactoring is well covered by tests at the function or branch level. For high-value refactoring with low coverage, plan a task to increase coverage before addressing the actual refactoring.
Meet test goals with project overview
Meet your team's test goals for code coverage. Identify projects that have decreased in meeting the goals, simply assign tasks to developers to create or improve tests.
Determine release readiness
Use visualizations to determine the risk associated with the release. With coverage scores, help the team to make informed decisions about whether additional testing is needed or if the product can be released.
“I would recommend CodeScene, especially to someone who is coming into a really large application and has poor code health. It feels really daunting to try to fix everything at once. CodeScene helps you prioritize what files to work on and which ones will have the most impact if you are to improve code quality.”
Lauren Swansson
- Lead Software Engineer at Carterra
Coming soon
More Powerful Features
Here's a sneak peek at some exciting features on the way
Trends & KPIs
Track code coverage trends and KPIs, such as Code Coverage or Hotspot Code Coverage, to identify any areas for improvement to ensure that code coverage efforts are aligned with quality standards.
Goals
Meet your team's goals for code coverage. Identify projects that have decreased in meeting the goals, simply assign tasks to developers to create or improve tests.
Coverage Gates in Your Pull Requests
Receive immediate feedback on whether new changes meet the required coverage standards. Set up quality gates to enforce your coverage standards, and find high-risk areas.
Recommendations
Explore findings to focus on, which are based on tested code percentages, code health, and knowledge distribution, especially in high-activity files.
Code Coverage on Components
Assess the coverage of specific components, and identify gaps in testing that might lead to undetected bugs or regressions.
Coverage Gates in Your Pull Requests
Receive immediate feedback on whether new changes meet the required coverage standards. Set up quality gates to enforce your coverage standards, and find high-risk areas.
Recommendations
Explore findings to focus on, which are based on tested code percentages, code health, and knowledge distribution, especially in high-activity files.
Code Coverage on Components
Assess the coverage of specific components, and identify gaps in testing that might lead to undetected bugs or regressions.