aws-observability / aws-otel-test-framework
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 260 units with 2,943 lines of code in units (18.4% of code).
    • 0 very complex units (0 lines of code)
    • 0 complex units (0 lines of code)
    • 4 medium complex units (245 lines of code)
    • 14 simple units (474 lines of code)
    • 242 very simple units (2,224 lines of code)
0% | 0% | 8% | 16% | 75%
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
java0% | 0% | 6% | 14% | 78%
go0% | 0% | 15% | 20% | 64%
py0% | 0% | 0% | 0% | 100%
Conditional Complexity per Logical Component
primary logical decomposition
51+
26-50
11-25
6-10
1-5
cmd/aotutil0% | 0% | 29% | 40% | 29%
validator/src0% | 0% | 4% | 15% | 79%
trace-java-client/src0% | 0% | 17% | 8% | 74%
sample-apps/jaeger-zipkin-sample-app0% | 0% | 0% | 100% | 0%
load-generator/src0% | 0% | 0% | 0% | 100%
sample-apps/prometheus0% | 0% | 0% | 0% | 100%
mocked_servers/https0% | 0% | 0% | 0% | 100%
mocked_servers/grpc_trace0% | 0% | 0% | 0% | 100%
mocked_servers/grpc_metrics0% | 0% | 0% | 0% | 100%
sample-apps/statsd0% | 0% | 0% | 0% | 100%
sample-apps/jmx0% | 0% | 0% | 0% | 100%
Most Complex Units
Top 20 most complex units
Unit# linesMcCabe index# params
func()
in cmd/aotutil/ec2.go
53 17 1
public IValidator launchValidator()
in validator/src/main/java/com/amazon/aoc/validators/ValidatorFactory.java
67 16 1
func()
in cmd/aotutil/efs.go
58 15 1
private Span createSpanForServiceRouteCall()
in trace-java-client/src/main/java/com/amazon/opentelemetry/trace/utils/TraceGenerator.java
67 12 4
private static void recursiveEntitySort()
in validator/src/main/java/com/amazon/aoc/helpers/SortUtils.java
19 9 2
func()
in cmd/aotutil/ssm.go
28 9 1
private List rollupMetric()
in validator/src/main/java/com/amazon/aoc/helpers/CWMetricHelper.java
53 8 1
public void validate()
in validator/src/main/java/com/amazon/aoc/validators/CWMetricValidator.java
41 8 0
private void validate()
in validator/src/main/java/com/amazon/aoc/App.java
31 8 2
func Wait()
in cmd/aotutil/util.go
27 8 3
private TreeMap generateMergedTagSets()
in trace-java-client/src/main/java/com/amazon/opentelemetry/trace/model/topology/ServiceTier.java
32 7 1
func ssmCmd()
in cmd/aotutil/ssm.go
67 7 2
public static void main()
in sample-apps/jaeger-zipkin-sample-app/src/main/java/com/amazon/sampleapp/App.java
58 6 1
private static List labelsMapToList()
in validator/src/main/java/com/amazon/aoc/models/prometheus/PrometheusMetric.java
20 6 1
private static List getAppsToValidate()
in validator/src/main/java/com/amazon/aoc/validators/ContainerInsightPrometheusStructuredLogValidator.java
19 6 1
private static List getAppsToValidate()
in validator/src/main/java/com/amazon/aoc/validators/ContainerInsightPrometheusMetricsValidator.java
19 6 1
private void compareMetricLists()
in validator/src/main/java/com/amazon/aoc/validators/CWMetricValidator.java
30 6 2
func()
in cmd/aotutil/ssm.go
30 6 1
public static boolean retry()
in validator/src/main/java/com/amazon/aoc/helpers/RetryHelper.java
25 5 4
abstract List getExpectedMetrics()
in validator/src/main/java/com/amazon/aoc/validators/AbstractCWMetricsValidator.java
31 5 2