aws-robotics / health-metrics-collector-ros2
Conditional Complexity

The distribution of complexity of units (measured with McCabe index).

Intro
  • Conditional complexity (also called cyclomatic complexity) is a term used to measure the complexity of software. The term refers to the number of possible paths through a program function. A higher value ofter means higher maintenance and testing costs (infosecinstitute.com).
  • Conditional complexity is calculated by counting all conditions in the program that can affect the execution path (e.g. if statement, loops, switches, and/or operators, try and catch blocks...).
  • Conditional complexity is measured at the unit level (methods, functions...).
  • Units are classified in four categories based on the measured McCabe index: 1-5 (simple units), 6-10 (medium complex units), 11-25 (complex units), 26+ (very complex units).
Learn more...
Conditional Complexity Overall
  • There are 17 units with 177 lines of code in units (50.3% of code).
    • 0 very complex units (0 lines of code)
    • 0 complex units (0 lines of code)
    • 0 medium complex units (0 lines of code)
    • 0 simple units (0 lines of code)
    • 17 very simple units (177 lines of code)
0% | 0% | 0% | 0% | 100%
Legend:
51+
26-50
11-25
6-10
1-5
Alternative Visuals
Conditional Complexity per Extension
51+
26-50
11-25
6-10
1-5
cpp0% | 0% | 0% | 0% | 100%
py0% | 0% | 0% | 0% | 100%
h0% | 0% | 0% | 0% | 100%
Conditional Complexity per Logical Component
primary logical decomposition
51+
26-50
11-25
6-10
1-5
src0% | 0% | 0% | 0% | 100%
launch0% | 0% | 0% | 0% | 100%
include/health_metric_collector0% | 0% | 0% | 0% | 100%
Most Complex Units
Top 17 most complex units
Unit# linesMcCabe index# params
void CPUStats::ReadStatsCPU()
in health_metric_collector/src/cpu_stats.cpp
 26 5 0
void CPUMetricCollector::Collect()
in health_metric_collector/src/cpu_metric_collector.cpp
 10 2 0
void CPUMetricCollector::CollectCpuUsage()
in health_metric_collector/src/cpu_metric_collector.cpp
 18 2 2
void Publish()
in health_metric_collector/include/health_metric_collector/collect_and_publish.h
 7 2 0
def generate_launch_description()
in health_metric_collector/launch/health_metric_collector.launch.py
 21 1 0
def generate_launch_description()
in health_metric_collector/launch/sample_application.launch.py
 13 1 0
MetricData MetricManager::CreateMetric()
in health_metric_collector/src/metric_manager.cpp
 8 1 0
void MetricManager::AddDimension()
in health_metric_collector/src/metric_manager.cpp
 7 1 2
void MetricManager::AddMetric()
in health_metric_collector/src/metric_manager.cpp
 1 1 1
void MetricManager::Publish()
in health_metric_collector/src/metric_manager.cpp
 5 1 0
size_t CPUData::GetActiveTime()
in health_metric_collector/src/cpu_data.cpp
 5 1 0
size_t CPUData::GetIdleTime()
in health_metric_collector/src/cpu_data.cpp
 1 1 0
void SysInfoCollector::Collect()
in health_metric_collector/src/sys_info_collector.cpp
 11 1 0
void SysInfoCollector::AddMetric()
in health_metric_collector/src/sys_info_collector.cpp
 9 1 3
int main()
in health_metric_collector/src/collector.cpp
 27 1 2
virtual ~MetricManagerInterface()
in health_metric_collector/include/health_metric_collector/metric_manager.h
 1 1 0
explicit MetricManager()
in health_metric_collector/include/health_metric_collector/metric_manager.h
 7 1 3