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Different types of documentations for programmers
1. Different Types of Documentations for Programmers
A new developer might be confused about which kinds of documentation
are important, because we often use the very general term
documentation rather than specifying the type. Here’s a look at some
of the types of documentation out there.
Code comments
When documentation is mentioned amongst developers, comments inserted
directly into the source code are probably the most common
understanding. This is especially true for recent graduates or newer
programmers who encountered it in school, but never learned about
more rigorous forms of documentation.
Comments have lost a lot of their utility over the years. Between the
development of systems allowing longer, more descriptive variable
names and development platforms and systems that allow for other
kinds of documentation, comments no longer serve as the de facto
documentation solution. That said, code comments still have value.
Code comments should not be used to replace descriptive variable
names, though they are excellent for explaining the logic underlying
a piece of code — not necessarily the how of a code block but the
why. For example, a useful comment might be, “Spec says that a name
must be three characters long and have only letters” to explain a
piece of validation code. Comments become more useful when they
directly refer to the specification, a bug, or other external
documentation in an easy-to-reference way. “Fix for bug #598″ or
“Refer to change request A991″ can go a long way in helping future
maintainers understand the thinking behind an otherwise
incomprehensible piece of code. Writing useful comments along these
lines should become a habit if it isn’t one already.
“Self-documenting” code
Thanks to systems that allow variable, class, and function names to
be longer than they used to be, it is much easier to write “self-
documenting” code; that is to say, the names of things convey their
meaning without the need for inline comments. For example, a function
2. such as “prfltocnsl” does not let the potential user know what it
does as well as “PrintFloatToConsole.” Like using inline comments
wisely, this should become a standard practice for developers.
Generated API-style documentation
Some languages allow you to embed detailed documentation within the
source code in a format (typically XML) that automated tools can use
to generate packaged help. Some systems (like Visual Studio) can pick
it up and use it in other ways too. This can be a really useful, but
it is a lot of work to do something useful.
How many times have you seen the documentation for a ToString()
method read something like, “Produces the string representation of
the object.” Gee, that was… uh… completely obvious, thanks. How
about letting me know how that happens instead? For example, let’s
say you have a collection with a ToString() method. Instead of
forcing the developer to guess what the output will look like, the
documentation should provide an example of what a sample instance
looks like when ToString() is called. Likewise, too many times the
“examples” just show the obvious syntax in a basic “hello world”
context without explaining how or why you would really do any of
this.
Bug tracker, task list, or project
management system
There has been an explosion in tools that allow teams to enter bugs,
tasks, to-do lists, and so on. The tools allow items to be tracked
very granularly, and for the user to assign gobs of metadata to any
given item. With this metadata, managers can do things like make
graphs, charts, and reports showing a ton of different stats, like
average bug resolution time or the number of features implemented per
developer. Some of these systems can tie into your source code
system, so that you can easily view code check-ins in the context of
the tasks they addressed (this is a very handy feature).
While the stats that can be pulled are often of dubious relevance
towards evaluating quality or productivity, these systems have lots
of value. Being able to rapidly find and mine common bugs, change
requests, and so on is a big help. It’s also nice to not have to
3. wade through endless piles of separate pieces of paper, emails, or
files trying to figure out where someone stuck that change request so
you can figure out why you spent three weeks making a change that
everyone seems to hate.
UML
UML is a special file format design for documenting applications. UML
can be consumed by a variety of tools to produce documents, database
diagrams, process flowcharts, and more. Even better, some tools can
take UML and stub out applications and databases based upon it.
UML is particularly prevalent in the Java ecosystem, thanks to the
Rational Suite of tools that IBM owns. UML seems to be considered an
enterprise development tool, due to the learning curve and cost of
the tools associated with it.
Ad-hoc documents
This style of documentation is sadly too prevalent. With ad-hoc
documentation, you usually lack version control. It’s also difficult
to search and, worst of all, you tend to get multiple copies of the
documents with differences floating all over the place.
There are some uses for these kinds of files, but they work a lot
better if they are participating in a more rigorous documentation
system, such as attached to a bug ticket or change request.
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