Home
About
Blog
Products
Forum
Support
Contact
Sunbelt Computer Software
PL/B Language Development and Support
Home
About
Blog
Products
Forum
Support
Contact
codeql/python/ql/src/Metrics/ModuleAfferentCoupling.qhelp at main · github/codeql · GitHub
Skip to content
Navigation Menu
Sign in
Appearance settings
Platform
AI CODE CREATION
GitHub Copilot
Write better code with AI
GitHub Copilot app
Direct agents from issue to merge
MCP Registry
Integrate external tools
DEVELOPER WORKFLOWS
Actions
Automate any workflow
Codespaces
Instant dev environments
Issues
Plan and track work
Code Review
Manage code changes
Code Quality
Enforce quality at merge
APPLICATION SECURITY
GitHub Advanced Security
Find and fix vulnerabilities
Code security
Secure your code as you build
Secret protection
Stop leaks before they start
EXPLORE
Why GitHub
Documentation
Blog
Changelog
Marketplace
View all features
Solutions
BY COMPANY SIZE
Enterprises
Small and medium teams
Startups
Nonprofits
BY USE CASE
App Modernization
DevSecOps
DevOps
CI/CD
View all use cases
BY INDUSTRY
Healthcare
Financial services
Manufacturing
Government
View all industries
View all solutions
Resources
EXPLORE BY TOPIC
AI
Software Development
DevOps
Security
View all topics
EXPLORE BY TYPE
Customer stories
Events & webinars
Ebooks & reports
Business insights
GitHub Skills
SUPPORT & SERVICES
Documentation
Customer support
Community forum
Trust center
Partners
View all resources
Open Source
COMMUNITY
GitHub Sponsors
Fund open source developers
PROGRAMS
Security Lab
Maintainer Community
GitHub Stars
Archive Program
REPOSITORIES
Topics
Trending
Collections
Enterprise
ENTERPRISE SOLUTIONS
Enterprise platform
AI-powered developer platform
AVAILABLE ADD-ONS
GitHub Advanced Security
Enterprise-grade security features
Copilot for Business
Enterprise-grade AI features
Premium Support
Enterprise-grade 24/7 support
Pricing
Search
/
Sign in
Sign up
Appearance settings
You signed in with another tab or window.
Reload
to refresh your session.
You signed out in another tab or window.
Reload
to refresh your session.
You switched accounts on another tab or window.
Reload
to refresh your session.
Dismiss alert
{{ message }}
github
codeql
Repository navigation
Code
Issues
1k
(1k)
Pull requests
481
(481)
Discussions
Actions
Projects
Security and quality
Insights
More
items
Files
Expand file tree
main
Breadcrumbs
codeql
/
python
/
ql
/
src
/
Metrics
/
ModuleAfferentCoupling.qhelp
Copy path
Blame
More file actions
Blame
More file actions
Latest commit
History
History
History
72 lines (58 loc) · 2.37 KB
main
Breadcrumbs
codeql
/
python
/
ql
/
src
/
Metrics
/
ModuleAfferentCoupling.qhelp
Copy path
Top
File metadata and controls
Code
Blame
72 lines (58 loc) · 2.37 KB
Raw
Copy raw file
Download raw file
Open symbols panel
Edit and raw actions
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
<!
DOCTYPE
qhelp
PUBLIC
"-//Semmle//qhelp//EN"
"qhelp.dtd">
<
qhelp
>
<
overview
>
<
p
>
This metric measures the number of incoming dependencies for each
module, that is the number of other modules that depend on it.
</
p
>
<
p
>
Modules that are depended upon by many other modules typically require a lot of
effort to change, because changing them will force their dependents to change
as well. This is not necessarily a bad thing -- indeed, most systems will have
some such modules (one example might be an I/O module). However, modules with a high number
of incoming dependencies and a high number of outgoing dependencies are hard to maintain.
A module with both high afferent coupling <
em
>and</
em
> high efferent coupling can be problematic
because, on the one hand they are hard to change (high afferent coupling), yet on the other they
have many reasons to change (high efferent coupling). This contradiction yields code that is very
hard to maintain or test.
</
p
>
<
p
>
Conversely, some modules may only be depended on by very few other modules. Again,
this is not necessarily a problem -- we would expect, for example, that the
top-level modules of a system would meet this criterion. When lower-level
modules have very few incoming dependencies, however, it can be an indication
that a module is not pulling its weight. In extreme cases, modules may even
have an afferent coupling of <
code
>0</
code
>, indicating that they are dead
code.
</
p
>
</
overview
>
<
recommendation
>
<
p
>
It is unwise to refactor a module based purely on its high or low number of
incoming dependencies -- a module's afferent coupling value only makes sense
in the context of its role in the system as a whole. However, when combined
with other metrics such as efferent coupling, it is possible to make some
general recommendations:
</
p
>
<
ul
>
<
li
>
Modules with high numbers of incoming <
em
>and</
em
> outgoing dependencies
are prime candidates for refactoring (although this
will not always be easy). The general strategy is to split the module into
smaller modules that each have fewer responsibilities, and refactor the code
that previously used that module accordingly.
</
li
>
<
li
>
Modules that have an afferent coupling of <
code
>0</
code
> may be dead code --
in this situation, they can often be deleted.
</
li
>
</
ul
>
</
recommendation
>
<
references
>
<
li
>
M. Fowler. <
em
>Refactoring</
em
>. Addison-Wesley, 1999.
</
li
>
</
references
>
</
qhelp
>
You can’t perform that action at this time.