CodeScene

CodeScene is a software engineering intelligence platform that combines code quality metrics with behavioral code analysis. It provides <a href="/facts/Software_visualization/IrgGTPEV">visualizations</a> based on <a href="/facts/Version_control/pxCmFXqK">version control</a> data and <a href="/facts/Machine_learning/e0w0XJTu">machine learning</a> algorithms that identify social patterns and hidden risks in source code.
CodeScene offers several features that support <a href="/facts/Software_maintenance/Uv39zQb0">software maintainability</a> and evolution within large-scale software development environments. The platform delivers several actionable <a href="/facts/Key_performance_indicators/qVbntaF8">performance indicators</a> that assist software organizations in identifying risks and bottlenecks. CodeScene’s research team employs an <a href="/facts/Evidence/d5IGUK0U">evidence</a>-based approach to validate how these indicators are associated with business-critical variables such as <a href="/facts/Velocity_(software_development)/dUMx1DRU">development velocity</a> and <a href="/facts/Software_bug/I1uSXySv">defect</a> density.
The platform uses its Code Health <a href="/facts/Software_metric/kus08fbs">metric</a> to evaluate the maintainability of source code. Another significant feature is the concept of hotspots which are areas of code that are frequently modified. This concept is inspired by <a href="/facts/Geographic_profiling/cNLLzkjK">geographic profiling</a> a technique used in criminal investigations, which is reflected in the naming of CodeScene.
By focusing on improving Code Health in hotspots, CodeScene aims to assist software development organizations in prioritizing <a href="/facts/Technical_debt/yXg27ryq">technical debt</a> mitigation. This approach is intended to enhance the maintainability and <a href="/facts/Software_quality/7yoRvIuz">quality</a> of software projects.

CodeScene open-in-new

CodeScene