Note: The naming convention described in this article is named Tag Vector:
An Abstraction name encodes the meaning & context of the abstraction. The name consists of tags that are joined together to create a name. Naming Convention (programming) (Wikipedia)
Discoverability: Unique vs Ambiguous Names
A name & tags in the name also acts identifiers to locate the usages of the abstraction in the codebase. This attribute is also known as discoverability.
Discoverability (Wikipedia)Unique & Accurate names for abstractions help discoverability. Ambiguous names hurt discoverability.
Advantages for discoverable abstractions include:
- easy searching for an abstraction used across the codebase
- easier refactoring (e.g. a rename refactoring is a search/replace)
- provides a more comprehensive & accurate model of the system in one’s head
Ambiguous name Example — id
id
fields with context are a good candidate to combine into a single tag.
Note that it’s advantageous to name a field user.user_id
instead of user.id
because the abstraction user_id
can be located though a search wherever it is used. The convention held by ActiveRecord
in Ruby on Rails
makes
it difficult to find usages of the user_id
abstraction, particularly when it is used in objects. In the user
object, user_id
is named id
, which is ambiguous with all the other *_id
fields used in all the other relations.
For reason of unambiguous distinction, it is advantageous to always use the same form for user_id
.
Top-down & Bottom-up Design
Top-down and bottom-up design (Wikipedia)One can communicate & gain design feedback on a system design by thinking in terms of top-down & bottom-up design. The typical naming convention in software systems is to have a top-down convention where the leftmost part of the name is the most global, becoming more local when moving rightward.
One can also think bottom-up by moving from the right to the left in a name. Thinking both top-down & bottom-up is often a useful exercise in understanding & discerning the naming of an abstraction.
Underscore_casing
Underscore casing separates each word in a tag with an underscore _
. Underscores are also used to separate tags
when multiple tags are combined to form a name.
CamelCasing
Camel casing is often used for variable & class names. While that works to identify a name tag, there are ambiguities when composing multiple tags together to form a name.
For example, the casing may be changed.
const btoaEncodeURIComponentUserJson = btoa(encodeURIComponent(JSON.stringify(user)))
Composing a camelCased tag with underscores removes this ambiguity:
const btoa_encodeURIComponent_user_json = btoa(encodeURIComponent(JSON.stringify(user)))
Double__Underscore__Casing (__
)
Double Underscores are used to aggregate a new chain of tags.
Bottom-up naming
If the typical use case is top-down naming (global_context_mid_context_local
), to achieve bottom-up naming, one
could use __
to join each tag (local__mid_context__global_context
).
Event Handler Names - __click
as shorthand for onclick
A name that begins with __
can be though of as an unassigned local tag followed by contextual tags. This technique
can be used to name event handlers.
Context Object Names - __user
as shorthand for ctx__user
At times, it may be useful to have a ctx object representing a group of abstractions related to a certain tag.
const __user = {
user_name: 'Joe',
user_id: 44,
user: {user_id: 44, user_name: 'Joe'},
user_orders_transactions: [{
order_transaction_id: 99,
order_id: 54
}]}
Alternate names - user__
If a name is already used within a scope, it may be useful to define an alternate name. This is useful when a function takes an abstraction, clones it, & returns a new version of the abstraction.
async function refresh_user(user) {
const {user_id} = user
const response = await fetch_user(user_id)
const user__ = await response.json()
return user__
}
Factory Functions _sales_report
Factory functions are prefixed with a single _
, with the name of the created abstraction following.
const sales_report = _sales_report()
One can visualize the sales_report
flowing from the factory _
.
This technique may be useful in breaking down a function into component parts using scoping. In the following
example, these queries are run in parallel using async/await
& Promise.all
.
Note that in this example, bottom-up naming is used to highlight that results
is the type of the abstraction, with
the rest of the name being context named top-down.
async function _sales_report() {
const [
results__sales_aggregate_query,
results__sales_regions_query,
results__sales_forecast_query
] = await Promise.all([
_results__sales_aggregate_query(),
_results__sales_regions_query(),
_results__sales_forecast_query()
])
return {
results__sales_aggregate_query,
results__sales_regions_query,
results__sales_forecast_query
}
async function _results__sales_aggregate_query() {
// ...
}
async function _results__sales_regions_query() {
// ...
}
async function _results__sales_forecast_query() {
// ...
}
}