azure / online-experimentation-analysis

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).

Conditional Complexity Overall

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

Conditional Complexity per Logical Component

primary logical decomposition

51+

26-50

11-25

6-10

1-5

Most Complex Units

Top 23 most complex units

Unit	# lines	McCabe index	# params
def fmt_metric_value() in analysis/render.py	26	14	2
def fmt_treatment_badge() in analysis/render.py	43	9	1
def fmt_reldiff() in analysis/render.py	11	5	1
def fmt_badge() in analysis/render.py	37	5	4
def extract_metadata() in analysis/download.py	27	4	1
def fmt_pvalue() in analysis/render.py	5	3	1
def fmt_metric_table() in analysis/render.py	27	3	1
def parse_categories() in analysis/render.py	6	3	1
def is_any_srm() in analysis/results.py	2	2	1
def __post_init__() in analysis/results.py	12	2	1
def treatment_effect_assessment() in analysis/download.py	14	2	1
def set_github_output() in action.py	5	2	2
def resource_id() in analysis/log_analytics.py	6	1	1
def query_df() in analysis/log_analytics.py	2	1	0
def _blade_url() in analysis/log_analytics.py	2	1	0
def analysis_workbook_url() in analysis/log_analytics.py	2	1	0
def fmt_hyperlink() in analysis/render.py	3	1	3
def fmt_image() in analysis/render.py	2	1	3
def strip_commit_hash() in analysis/render.py	3	1	1
def fmt_metric_search() in analysis/render.py	2	1	0
def summarize() in analysis/render.py	4	1	0
def latest_analysis() in analysis/download.py	7	1	0
def main() in action.py	7	1	0