apache / flink-jira-botConditional Complexity

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 16 most complex units

Unit	# lines	McCabe index	# params
def mark_stale_tickets_stale() in flink_jira_rule.py	25	4	2
def get_issues() in flink_jira_rule.py	14	2	3
def add_label_with_comment() in flink_jira_rule.py	8	2	4
def handle_tickets_marked_stale() in flink_jira_rule.py	16	2	2
def set_priority() in stale_unassigned_rule.py	12	2	6
def __init__() in flink_jira_rule.py	10	1	4
def has_recently_updated_subtask() in flink_jira_rule.py	6	1	3
def run() in flink_jira_rule.py	2	1	1
def handle_stale_ticket() in flink_jira_rule.py	2	1	5
def __init__() in stale_assigned_rule.py	2	1	4
def run() in stale_assigned_rule.py	9	1	1
def handle_stale_ticket() in stale_assigned_rule.py	2	1	5
def get_args() in flink_jira_bot.py	17	1	0
def __init__() in stale_unassigned_rule.py	4	1	6
def run() in stale_unassigned_rule.py	11	1	1
def handle_stale_ticket() in stale_unassigned_rule.py	2	1	5