Learning and Maintaining a Large Inherited Codebase?
An anonymous reader writes "A couple of times in my career, I've inherited a fairly large (30-40 thousand lines) collection of code. The original authors knew it because they wrote it; I didn't, and I don't. I spend a huge amount of time finding the right place to make a change, far more than I do changing anything. How would you learn such a big hunk of code? And how discouraged should I be that I can't seem to 'get' this code as well as the original developers?"
So you have been handed the steamin' pile o' code, it is great that you are very cautious and deliberate when modifying it. Make a set of regression tests, that is, make a set of test data and procedures and expected results to ensure original functionality that is still desirable is still working and no other errors introduced. It is hard, much more tedious than just creating new code with few constraints.
Doxygen is your friend. run it over the source code and keep the HTML handy for searches and cross references.
First of all, 30-40,000 lines of code is not lots of code. Try, 250,000 of code.
To start, use a good programming editor/environment (Xcode, Vslick, Visual Studio, etc.) that gives you the ability to easily go to definition or references to variables, functions, structs and such. Run some sort of profiler or flowchart type program on it to get a high level view of the code and how it fits together. If you can get the person(s) who worked on it before you to give you an idea of it fits together.
Fight Spammers!
I find that if the other programmer wrote it in such a way where it's too complex for me to follow, I'm not the one who's a moron.
I'll echo some earlier comments.
Set up an execution environment with debugger, and run several typical scenarios and trace them with debugger. Get the feel of the big-picture execution scenarios/paths.
It will take time for your brains to get comfortable with it, though. And the details, when you look into them, will throw odd stuff at you. But that's the nature of our work.
Fuck systemd. Fuck Redhat. Fuck Soylent, too. Wait, scratch the last one.
I had an English professor who always said, "Structure is the key to understanding." He was talking about literature, but I think the same is true for programs as well.
Try to understand the structure of the program. What is the basic flow? It should have an initialization routine, a main loop, and a shutdown routine. Find out roughly where they are, then focus on the main loop. Usually there will be one piece of code that is central, and it will occasionally pass control into other large pieces of the program. Sometimes there will be more than one main loop, and control switches back and forth between the various main loops. If the program is event drive, this will make a difference in the structure.
If you are just trying to make a small change, try to find the sequence of events that will lead up to where that change needs to be made. Follow the sequence of execution until you get to the line you need to change. If you are changing a single variable, sometimes it's helpful to do a search and find all the places that variable is used, to make sure your change won't have any side effects. This may seem time consuming, but it can save 10 times more in debugging.
Learn to follow code execution with your eyes, without running a debugger. One thing that separates good coders from not so good coders is the ability to follow code that isn't being executed.
Qxe4
Ha, ha! Just 4 months ago I joined a project with a code base of about 500k lines. I would call that (the 500k lines one) intermediate in size. There are code bases with many millions of lines. I now feel pretty comfortable finding things in it. And I mostly use find and grep.
At my job at Microsoft, we were in the support end of the core os group. That meant that core os wrote WinXP, Server 2003, Vista, etc, and then it got completely moved over to us to maintain.
Unfortunately, Windows doesn't really have find and grep, but it does have "dir /s /b [pattern]" and "findstr /sipc:"[pattern]"" Once I learned those, that's a lot of what I used to find the code that I needed to fix.
All I can say is that it takes time, and effort to become familiar... and you're just stuck with it.
WARNING! This girl exceeds the MAXIMUM SAFE standards established by the FDA for BRATTINESS
Everyone, including me, always wants to go for the clean rewrite. But in my experience it almost never turns out for the best. There's a reason for all that messy code. Much of it was bug fixes that real-world users needed. Other complexities were needed in the first place to make the user experience simple (natural, giving it that "hey, it's just works like I expected" feeling).
The reason you don't understand the code is that you weren't part of the original design discussions, in which weeks or months were spent learning, debating, arguing, etc., about many different design decisions at many different levels of abstraction. You don't know why the trade-offs were made. You just see the finished product.
Rewriting the code won't give you insight into any of this. Learning the code the hard way, fixing bugs, rewriting *small* pieces and seeing what breaks the regression tests, etc. will eventually help you to understand it.
There is no point in rewriting it before you fully understand it. Attempting that can kill a product. Conversely, by the time you fully understand it, there won't be any need to rewrite it, because you'll own the code.
I am currently working with a mission-critical codebase, which is written in PHP and has absolutely no cohesive design to it. Well, unless you consider making everything static and unnecessarily inheriting other classes and overwriting static variables willy-nilly a cohesive design. There are business rules just everywhere and API requests everywhere and all kinds of calls that overwrite static variables. If you don't methodically trace logic it's really easy to get lost. What makes it worse is that there are many many variables that are named very similarly and you don't really know which one is right and which one is just going to get overwritten in some method call you are not looking at right now. And if this software fails, the worst case scenario is that my company makes no money. It really has made my life over the last few weeks pretty horrid. Fortunately I enjoy the job and the co-workers and am well respected there. Otherwise, it wouldn't be worth the aggravation.
My advice: communicate your difficulties to everyone who will listen (refrain from complaining or bellyaching, just communicate). If you inherit something like this, and it is mission critical, then you need to take as long as it takes to get it right. That's right, AS LONG as it takes. Take the time to document everything. Bother the crap out of anyone who can help you. You are responsible for doing your job, and part of doing your job is figuring out how to maintain this beast. And in order to do that, you need to use every resource at your disposal. If anyone wants to rush you along, you need to communicate the difficulty and the importance of the task. If you have been working at a place for a while and have done a good job to date, then they should trust you. If you're brand new, then you'd better hope someone there values your opinion and doesn't merely think you are incompetent. If you are asked to make enhancements, don't refactor until you understand the code. So make enhancements, leaving the potentially crappy code in place, even copying it if necessary. Steadfastly resist the temptation to refactor until you understand the entire piece that you are trying ti refactor. Don't remove seemingly unnecessary variables, and don't reduce seemingly redundant database calls. That comes later when you actually know what you are doing in there. IOW, if you have to navigate a lion's den by touch, don't stop to groom the sleeping lion (unless of course, that is your given task.)
The word inherit seems to imply that either the original maintainer no longer works there or has moved on to a different position. This means that it's you on the hook to figure it out. You've gotta dig in, buckle down, and get to it.
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