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In may Daily Job i come across this Dilemma :
"Stable System Vs Better Design"
In routine job when i am fixing some module, When i see bad design
-> Badly written code
-> Badly Written Algorithm
-> Optimization possible
I would prefer to fix these also along with issue i am fixing
But many people opposes my changes a few supports, People who opposes will say
"You should be business oriented if system is stable, If you change some thing may cause regression, Hence do not favor business"
some time :
you will see your own written code after 6 months, Always you will see some improvment opportunity in this
While who support will say:
This is continual improvement and system will be more stable
So i would like to know what you people think
If applicable, write a unit test (or several, to cover edge cases). This gives you the confidence to refactor and know that you haven't broken anything.
Of course, if the code is tightly coupled (or spaghetti!), that's going to be a problem.
If it ain't broken don't fix it - wrap it. Isolate the modules as much as you can without changing its implementation; they should be touched (fixed, improved) when / if a real need arises.
My opinion would be not to fix the old code if it looks not perfect unless the way it is written is interfering with your current task at hand.
Most of the code is written badly. It is a matter of fact. If you're not in a perfect team with the perfect understanding of quality value and the agreement on the approach to achieve and keep this quality level, your optimizations will not change the big picture. You may fix something now but the next guy will make the mess of the things again.
I have came to the conclusion that in this industry if its not broken, don't fix it unless there is a damn good reason to.
If you know the application inside out, or have comprehensive unit tests and time to test the application in a non-productive environment, go for it. Otherwise, do it just when it's necessary.
Both are correct and there is no easy way out.
If you don't fix problems as you encounter them, not all problems will be fixed.
If you break something with a fix that is not 100% related to the issue you're currently working on, then people will hate you.
On the other hand, if you fix some innocent code (or rather code that looks innocent) and it breaks in unexpected ways, you've found something valuable: Brittle code. Brittle code is usually something that no one dares to touch. But to make your product more stable, you must get rid of such code. The first step on this road is to find it.
I have to admit that such fixes cause a lot of "unnecessary" friction in the team. People will yell at you when you touch brittle code because they are afraid. Often, this code will blow into the face of your customers, so you will get heat from all kinds of directions.
So it really depends on how much pain you want to cause and what you're willing to endure. If you fix everything as you encounter it, the code will be better by the end of the year. But it often is worse by the end of the day.
I want to second all the "if it ain't broke, don't fix it" answers, but with a relevant link...
Things You Should Never Do, Part 1 - Joel Spolsky
In essence - sometimes that incomprehensible code is actually a necessary bugfix that you have no chance to understand.
On the one hand, changing code that's already more-or-less working can run the risk of breaking things, and it can easily become an all-consuming task.
On the other hand, leaving bad code alone for fear of breaking things can stifle new development, due to the burden of maintaining bad code.
Sometimes code looks bad because it has to deal with complicated corner cases, as Joel Spolsky points out, and rewriting it will create bugs by failing to cover those corner cases. Sometimes code looks bad because it really is bad, and rewriting it can fix bugs that you didn't even know were there. Experience with your code base should help you determine which code is which.
In Boy Scout Check-Ins, Jeff Moser discusses the idea of "always leaving the campground cleaner than you found it." Always leave the codebase cleaner than you found it, even if you can't fix everything; those little improvements add up over time.
As was said in this answer, unit tests are a good thing. Working Effectively with Legacy Code, by Michael Feathers, is a great resource on this topic.
I personally have a tendency to spend time fixing stuff rather than getting on with the required task. Unfortunately it is all too easy to start fixing what looks like an easy problem and unravelling a huge mess that you then wish you hadn't.
I have also worked with people who are the other way round, and can live with the bad bits as long as it gets the job done.
More often than not, you can spend ages 'getting something right' to make it easier to work with in the future and you'll find that code is never reused in the future.
I think the main thing is to have a balance of views on your team, discuss things regularly with others and ultimately, meet the requirements for your project, since it's the customer paying the bills.
Be constructive about any problems you find - don't just pick holes for the sake of it! Team code reviews help improve bad code over time as poor coders will start to understand how to make good code.
I would advise marking bad code with 'TODO' comments and then coming back to fix it later time/budget allows. At least you've got a flag for potential problem areas then, without having to (possibly) waste time on a fix that's not required there and then.
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So I'm working on this class that's supposed to request help documentation from a vendor through a web service. I try to name it DocumentRetriever, VendorDocRequester, DocGetter, but they just don't sound right. I ended up browsing through dictionary.com for half an hour trying to come up with an adequate word.
Start programming with bad names is like having a very bad hair day in the morning, the rest of the day goes downhill from there. Feel me?
What you are doing now is fine, and I highly recommend you stick with your current syntax, being:
context + verb + how
I use this method to name functions/methods, SQL stored procs, etc. By keeping with this syntax, it will keep your Intellisense/Code Panes much more neat. So you want EmployeeGetByID() EmployeeAdd(), EmployeeDeleteByID(). When you use a more grammatically correct syntax such as GetEmployee(), AddEmployee() you'll see that this gets really messy if you have multiple Gets in the same class as unrelated things will be grouped together.
I akin this to naming files with dates, you want to say 2009-01-07.log not 1-7-2009.log because after you have a bunch of them, the order becomes totally useless.
One lesson I have learned, is that if you can't find a name for a class, there is almost always something wrong with that class:
you don't need it
it does too much
A good naming convention should minimize the number of possible names you can use for any given variable, class, method, or function. If there is only one possible name, you'll never have trouble remembering it.
For functions and for singleton classes, I scrutinize the function to see if its basic function is to transform one kind of thing into another kind of thing. I'm using that term very loosely, but you'll discover that a HUGE number of functions that you write essentially take something in one form and produce something in another form.
In your case it sounds like your class transforms a Url into a Document. It's a little bit weird to think of it that way, but perfectly correct, and when you start looking for this pattern, you'll see it everywhere.
When I find this pattern, I always name the function xFromy.
Since your function transforms a Url into a Document, I would name it
DocumentFromUrl
This pattern is remarkably common. For example:
atoi -> IntFromString
GetWindowWidth -> WidthInPixelsFromHwnd // or DxFromWnd if you like Hungarian
CreateProcess -> ProcessFromCommandLine
You could also use UrlToDocument if you're more comfortable with that order. Whether you say xFromy or yTox is probably a matter of taste, but I prefer the From order because that way the beginning of the function name already tells you what type it returns.
Pick one convention and stick to it. If you are careful to use the same names as your class names in your xFromy functions, it'll be a lot easier to remember what names you used. Of course, this pattern doesn't work for everything, but it does work where you're writing code that can be thought of as "functional."
Sometimes there isn't a good name for a class or method, it happens to us all. Often times, however, the inability to come up with a name may be a hint to something wrong with your design. Does your method have too many responsibilities? Does your class encapsulate a coherent idea?
Thread 1:
function programming_job(){
while (i make classes){
Give each class a name quickly; always fairly long and descriptive.
Implement and test each class to see what they really are.
while (not satisfied){
Re-visit each class and make small adjustments
}
}
}
Thread 2:
while(true){
if (any code smells bad){
rework, rename until at least somewhat better
}
}
There's no Thread.sleep(...) anywhere here.
I do spend a lot of time as well worrying about the names of anything that can be given a name when I am programming. I'd say it pays off very well though. Sometimes when I am stuck I leave it for a while and during a coffee break I ask around a bit if someone has a good suggestion.
For your class I'd suggest VendorHelpDocRequester.
The book Code Complete by Steve Mcconnell has a nice chapter on naming variables/classes/functions/...
I think this is a side effect.
It's not the actual naming that's hard. What's hard is that the process of naming makes you face the horrible fact that you have no idea what the hell you're doing.
I actually just heard this quote yesterday, through the Signal vs. Noise blog at 37Signals, and I certainly agree with it:
"There are only two hard things in Computer Science: cache invalidation and naming things."
— Phil Karlton
It's good that it's difficult. It's forcing you to think about the problem, and what the class is actually supposed to do. Good names can help lead to good design.
Agreed. I like to keep my type names and variables as descriptive as possible without being too horrendously long, but sometimes there's just a certain concept that you can't find a good word for.
In that case, it always helps me to ask a coworker for input - even if they don't ultimately help, it usually helps me to at least explain it out loud and get my wheels turning.
I was just writing on naming conventions last month: http://caseysoftware.com/blog/useful-naming-conventions
The gist of it:
verbAdjectiveNounStructure - with Structure and Adjective as optional parts
For verbs, I stick to action verbs: save, delete, notify, update, or generate. Once in a while, I use "process" but only to specifically refer to queues or work backlogs.
For nouns, I use the class or object being interacted with. In web2project, this is often Tasks or Projects. If it's Javascript interacting with the page, it might be body or table. The point is that the code clearly describes the object it's interacting with.
The structure is optional because it's unique to the situation. A listing screen might request a List or an Array. One of the core functions used in the Project List for web2project is simply getProjectList. It doesn't modify the underlying data, just the representation of the data.
The adjectives are something else entirely. They are used as modifiers to the noun. Something as simple as getOpenProjects might be easily implemented with a getProjects and a switch parameter, but this tends to generate methods which require quite a bit of understanding of the underlying data and/or structure of the object... not necessarily something you want to encourage. By having more explicit and specific functions, you can completely wrap and hide the implementation from the code using it. Isn't that one of the points of OO?
More so than just naming a class, creating an appropriate package structure can be a difficult but rewarding challenge. You need to consider separating the concerns of your modules and how they relate to the vision of the application.
Consider the layout of your app now:
App
VendorDocRequester (read from web service and provide data)
VendorDocViewer (use requester to provide vendor docs)
I would venture to guess that there's a lot going on inside a few classes. If you were to refactor this into a more MVC-ified approach, and allow small classes to handle individual duties, you might end up with something like:
App
VendorDocs
Model
Document (plain object that holds data)
WebServiceConsumer (deal with nitty gritty in web service)
Controller
DatabaseAdapter (handle persistance using ORM or other method)
WebServiceAdapter (utilize Consumer to grab a Document and stick it in database)
View
HelpViewer (use DBAdapter to spit out the documention)
Then your class names rely on the namespace to provide full context. The classes themselves can be inherently related to application without needing to explicitly say so. Class names are simpler and easier to define as a result!
One other very important suggestion: please do yourself a favor and pick up a copy of Head First Design Patterns. It's a fantastic, easy-reading book that will help you organize your application and write better code. Appreciating design patterns will help you to understanding that many of the problems you encounter have already been solved, and you'll be able to incorporate the solutions into your code.
Leo Brodie, in his book "Thinking Forth", wrote that the most difficult task for a programmer was naming things well, and he stated that the most important programming tool is a thesaurus.
Try using the thesaurus at http://thesaurus.reference.com/.
Beyond that, don't use Hungarian Notation EVER, avoid abbreviations, and be consistent.
Best wishes.
In short:
I agree that good names are important, but I don't think you have to find them before implementing at all costs.
Of course its better to have a good name right from the start. But if you can't come up with one in 2 minutes, renaming later will cost less time and is the right choice from a productivity point of view.
Long:
Generally it's often not worth to think too long about a name before implementing. If you implement your class, naming it "Foo" or "Dsnfdkgx", while implementing you see what you should have named it.
Especially with Java+Eclipse, renaming things is no pain at all, as it carefully handles all references in all classes, warns you of name collisions, etc. And as long as the class is not yet in the version control repository, I don't think there's anything wrong with renaming it 5 times.
Basically, it's a question of how you think about refactoring. Personally, I like it, though it annoys my team mates sometimes, as they believe in never touch a running system. And from everything you can refactor, changing names is one of the most harmless things you can do.
Why not HelpDocumentServiceClient kind of a mouthful, or HelpDocumentClient...it doesn't matter it's a vendor the point is it's a client to a webservice that deals with Help documents.
And yes naming is hard.
There is only one sensible name for that class:
HelpRequest
Don't let the implementation details distract you from the meaning.
Invest in a good refactoring tool!
I stick to basics: VerbNoun(arguments). Examples: GetDoc(docID).
There's no need to get fancy. It will be easy to understand a year from now, whether it's you or someone else.
For me I don't care how long a method or class name is as long as its descriptive and in the correct library. Long gone are the days where you should remember where each part of the API resides.
Intelisense exists for all major languages. Therefore when using a 3rd party API I like to use its intelisense for the documentation as opposed to using the 'actual' documentation.
With that in mind I am fine to create a method name such as
StevesPostOnMethodNamesBeingLongOrShort
Long - but so what. Who doesnt use 24inch screens these days!
I have to agree that naming is an art. It gets a little easier if your class is following a certain "desigh pattern" (factory etc).
This is one of the reasons to have a coding standard. Having a standard tends to assist coming up with names when required. It helps free up your mind to use for other more interesting things! (-:
I'd recommend reading the relevant chapter of Steve McConnell's Code Complete (Amazon link) which goes into several rules to assist readability and even maintainability.
HTH
cheers,
Rob
Nope, debugging is the most difficult thing thing for me! :-)
DocumentFetcher? It's hard to say without context.
It can help to act like a mathematician and borrow/invent a lexicon for your domain as you go: settle on short plain words that suggest the concept without spelling it out every time. Too often I see long latinate phrases that get turned into acronyms, making you need a dictionary for the acronyms anyway.
The language you use to describe the problem, is the language you should use for the variables, methods, objects, classes, etc. Loosely, nouns match objects and verbs match methods. If you're missing words to describe the problem, you're also missing a full understanding (specification) of the problem.
If it's just choosing between a set of names, then it should be driven by the conventions you are using to build the system. If you've come to a new spot, uncovered by previous conventions, then it's always worth spending some effort on trying extend them (properly, consistently) to cover this new case.
If in doubt, sleep on it, and pick the first most obvious name, the next morning :-)
If you wake up one day and realize you were wrong, then change it right away.
Paul.
BTW: Document.fetch() is pretty obvious.
I find I have the most trouble in local variables. For example, I want to create an object of type DocGetter. So I know it's a DocGetter. Why do I need to give it another name? I usually end up giving it a name like dg (for DocGetter) or temp or something equally nondescriptive.
Don't forget design patterns (not just the GoF ones) are a good way of providing a common vocabulary and their names should be used whenever one fits the situation. That will even help newcomers that are familiar with the nomenclature to quickly understand the architecture. Is this class you're working on supposed to act like a Proxy, or even a Façade ?
Shouldn't the vendor documentation be the object? I mean, that one is tangible, and not just as some anthropomorphization of a part of your program. So, you might have a VendorDocumentation class with a constructor that fetches the information. I think that if a class name contains a verb, often something has gone wrong.
I definitely feel you. And I feel your pain. Every name I think of just seems rubbish to me. It all seems so generic and I want to eventually learn how to inject a bit of flair and creativity into my names, making them really reflect what they describe.
One suggestion I have is to consult a Thesaurus. Word has a good one, as does Mac OS X. That can really help me get my head out of the clouds and gives me a good starting place as well as some inspiration.
If the name would explain itself to a lay programmer then there's probably no need to change it.
I tend to do a lot of projects on short deadlines and with lots of code that will never be used again, so there's always pressure/temptation to cut corners. One rule I always stick to is encapsulation/loose coupling, so I have lots of small classes rather than one giant God class. But what else should I never compromise on?
Update - thanks for the great response. Lots of people have suggested unit testing, but I don't think that's really appropriate to the kind of UI coding I do. Usability / User acceptance testing seems much important. To reiterate, I'm talking about the BARE MINIMUM of coding standards for impossible deadline projects.
Not OOP, but a practice that helps in both the short and long run is DRY, Don't Repeat Yourself. Don't use copy/paste inheritance.
Not a OOP practice, but common sense ;-).
If you are in a hurry, and have to write a hack. Always add a piece of comment with the reasons. So you can trace it back and make a good solution later.
If you never had the time to come back, you always have the comment so you know, why the solution was chosen at the moment.
Use Source control.
No matter how long it takes to set up (seconds..), it will always make your life easier! (still it's not OOP related).
Naming. Under pressure you'll write horrible code that you won't have time to document or even comment. Naming variables, methods and classes as explicitly as possible takes almost no additional time and will make the mess readable when you must fix it. From an OOP point of view, using nouns for classes and verbs for methods naturally helps encapsulation and modularity.
Unit tests - helps you sleep at night :-)
This is rather obvious (I hope), but at the very least I always make sure my public interface is as correct as possible. The internals of a class can always be refactored later on.
no public class with mutable public variables (struct-like).
Before you know it, you refer to this public variable all over your code, and the day you decide this field is a computed one and must have some logic in it... the refactoring gets messy.
If that day is before your release date, it gets messier.
Think about the people (may even be your future self) who have to read and understand the code at some point.
Application of the single responsibility principal. Effectively applying this principal generates a lot of positive externalities.
Like everyone else, not as much OOP practices, as much as practices for coding that apply to OOP.
Unit test, unit test, unit test. Defined unit tests have a habit of keeping people on task and not "wandering" aimlessly between objects.
Define and document all hierarchical information (namespaces, packages, folder structures, etc.) prior to writing production code. This helps to flesh out object relations and expose flaws in assumptions related to relationships of objects.
Define and document all applicable interfaces prior to writing production code. If done by a lead or an architect, this practice can additionally help keep more junior-level developers on task.
There are probably countless other "shoulds", but if I had to pick my top three, that would be the list.
Edit in response to comment:
This is precisely why you need to do these things up front. All of these sorts of practices make continued maintenance easier. As you assume more risk in the kickoff of a project, the more likely it is that you will spend more and more time maintaining the code. Granted, there is a larger upfront cost, but building on a solid foundation pays for itself. Is your obstacle lack of time (i.e. having to maintain other applications) or a decision from higher up? I have had to fight both of those fronts to be able to adopt these kinds of practices, and it isn't a pleasant situation to be in.
Of course everything should be Unit tested, well designed, commented, checked into source control and free of bugs. But life is not like that.
My personal ranking is this:
Use source control and actually write commit comments. This way you have a tiny bit of documentation should you ever wonder "what the heck did I think when I wrote this?"
Write clean code or document. Clean well-written code should need little documentation, as it's meaning can be grasped from reading it. Hacks are a lot different. Write why you did it, what you do and what you'd like to do if you had the time/knowledge/motivation/... to do it right
Unit Test. Yes it's down on number three. Not because it's unimportant but because it's useless if you don't have the other two at least halfway complete. Writing Unit tests is another level of documentation what you code should be doing (among others).
Refactor before you add something. This might sound like a typical "but we don't have time for it" point. But as with many of those points it usually saves more time than it costs. At least if you have at least some experience with it.
I'm aware that much of this has already been mentioned, but since it's a rather subjective matter, I wanted to add my ranking.
[insert boilerplate not-OOP specific caveat here]
Separation of concerns, unit tests, and that feeling that if something is too complex it's probably not conceptualised quite right yet.
UML sketching: this has clarified and saved any amount of wasted effort so many times. Pictures are great aren't they? :)
Really thinking about is-a's and has-a's. Getting this right first time is so important.
No matter how fast a company wants it, I pretty much always try to write code to the best of my ability.
I don't find it takes any longer and usually saves a lot of time, even in the short-term.
I've can't remember ever writing code and never looking at it again, I always make a few passes over it to test and debug it, and even in those few passes practices like refactoring to keep my code DRY, documentation (to some degree), separation of concerns and cohesion all seem to save time.
This includes crating many more small classes than most people (One concern per class, please) and often extracting initialization data into external files (or arrays) and writing little parsers for that data... Sometimes even writing little GUIs instead of editing data by hand.
Coding itself is pretty quick and easy, debugging crap someone wrote when they were "Under pressure" is what takes all the time!
At almost a year into my current project I finally set up an automated build that pushes any new commits to the test server, and man, I wish I had done that on day one. The biggest mistake I made early-on was going dark. With every feature, enhancement, bug-fix etc, I had a bad case of the "just one mores" before I would let anyone see the product, and it literally spiraled into a six month cycle. If every reasonable change had been automatically pushed out it would have been harder for me to hide, and I would have been more on-track with regard to the stakeholders' involvement.
Go back to code you wrote a few days/weeks ago and spend 20 minutes reviewing your own code. With the passage of time, you will be able to determine whether your "off-the-cuff" code is organized well enough for future maintenance efforts. While you're in there, look for refactoring and renaming opportunities.
I sometimes find that the name I chose for a function at the outset doesn't perfectly fit the function in its final form. With refactoring tools, you can easily change the name early before it goes into widespread use.
Just like everybody else has suggested these recommendations aren't specific to OOP:
Ensure that you comment your code and use sensibly named variables. If you ever have to look back upon the quick and dirty code you've written, you should be able to understand it easily. A general rule that I follow is; if you deleted all of the code and only had the comments left, you should still be able to understand the program flow.
Hacks usually tend to be convoluted and un-intuitive, so some good commenting is essential.
I'd also recommend that if you usually have to work to tight deadlines, get yourself a code library built up based upon your most common tasks. This will allow you to "join the dots" rather than reinvent the wheel each time you have a project.
Regards,
Docta
An actual OOP practice I always make time for is the Single Responsibility Principle, because it becomes so much harder to properly refactor the code later on when the project is "live".
By sticking to this principle I find that the code I write is easily re-used, replaced or rewritten if it fails to match the functional or non-functional requirements. When you end up with classes that have multiple responsibilities, some of them may fulfill the requirements, some may not, and the whole may be entirely unclear.
These kinds of classes are stressful to maintain because you are never sure what your "fix" will break.
For this special case (short deadlines and with lots of code that will never be used again) I suggest you to pay attention to embedding some script engine into your OOP code.
Learn to "refactor as-you-go". Mainly from an "extract method" standpoint. When you start to write a block of sequential code, take a few seconds to decide if this block could stand-alone as a reusable method and, if so, make that method immediately. I recommend it even for throw-away projects (especially if you can go back later and compile such methods into your personal toolbox API). It doesn't take long before you do it almost without thinking.
Hopefully you do this already and I'm preaching to the choir.
If you take over a project from someone to do simple updates do you follow their naming convention? I just received a project where the previous programmer used Hungarian Notation everywhere. Our core product has a naming standard, but we've had a lot of people do custom reporting over the years and do whatever they felt like.
I do not have time to change all of the variable names already in the code though.
I'm inclined for readablity just to continue with their naming convention.
Yes, I do. It makes it easier to follow by the people who inherit it after you. I do try and clean up the code a little to make it more readable if it's really difficult to understand.
I agree suggest that leaving the code as the author wrote it is fine as long as that code is internally consistent. If the code is difficult to follow because of inconsistency, you have a responsibility to the future maintainer (probably you) to make it clearer.
If you spend 40 hours figuring out what a function does because it uses poorly named variables, etc., you should refactor/rename for clarity/add commentary/do whatever is appropriate for the situation.
That said, if the only issue is that the mostly consistent style that the author used is different from the company standard or what you're used to, I think you're wasting your time renaming everything. Also, you may loose a source of expertise if the original author is still available for questions because he won't recognize the code anymore.
If you're not changing all the existing code to your standard, then I'd say stick with the original conventions as long as you're changing those files. Mixing two styles of code in the same file is destroying any benefit that a consistent code style would have, and the next guy would have to constantly ask himself "who wrote this function, what's it going to be called - FooBar() or fooBar()?"
This kind of thing gets even trickier when you're importing 3rd party libraries - you don't want to rewrite them, but their code style might not match yours. So in the end, you'll end up with several different naming conventions, and it's best to draw clear lines between "our code" and "their code".
Often, making a wholesale change to a codebase just to conform with the style guide is just a way to introduce new bugs with little added value.
This means that either you should:
Update the code you're working on to conform to the guideline as you work on it.
Use the conventions in the code to aide future maintenance efforts.
I'd recommend 2., but Hungarian Notation makes my eyes bleed :p.
If you are maintaining code that others wrote and that other people are going to maintain after you, you owe it to everybody involved not to make gratuitous changes. When they go into the source code control system to see what you changed, they should see what was necessary to fix the problem you were working on, and not a million diffs because you did a bunch of global searches and replaces or reformatted the code to fit your favourite brace matching convention.
Of course, if the original code really sucks, all bets are off.
Generally, yes, I'd go for convention and readability over standards in this scenario. No one likes that answer, but it's the right thing to do to keep the code maintainable long-term.
When a good programmer's reading code, he should be able to parse the variable names and keep track of several in his head -- as long as their consistent, at least within the source file. But if you break that consistency, it will likely force the programmer reading the code to suffer some cognitive dissonance, which would then make it a bit harder to keep track of. It's not a killer -- good programmers will get through it, but they'll curse your name and probably post you on TheDailyWTF.
I certainly would continue to use the same naming convention, as it'll keep the code consistent (even if it is consistently ugly) and more readable than mixing variable naming conventions. Human brains seem to be rather good at pattern recognition and you don't really want to throw the brain a curveball by gratuitously breaking said pattern.
That said, I'm anything but a few of Hungarian Notation but if that's what you've got to work with...
If the file or project is already written using a consistent style then you should try to follow that style, even if it conflicts/contradicts your existing style. One of the main goals of a code style is consistency, so if you introduce a different style in to code that is already consistent (within itself) you loose that consistency.
If the code is poorly written and requires some level of cleanup in order to understand it then cleaning up the style becomes a more relevant option, but you should only do so if absolutely necessary (especially if there are no unit tests) as you run the possiblity of introducing unexpected breaking changes.
Absolutely, yes. The one case where I don't believe it's preferable to follow the original programmer's naming convention is when the original programmer (or subsequent devs who've modified the code since then) failed to follow any consistent naming convention.
Yes. I actually wrote this up in a standards doc. I created at my current company:
Existing code supersedes all other standards and practices (whether they are industry-wide standards or those found in this document). In most cases, you should chameleon your code to match the existing code in the same files, for two reasons:
To avoid having multiple, distinct styles/patterns within a single module/file (which contradict the purpose of standards and hamper maintainability).
The effort of refactoring existing code is prone to being unnecessarily more costly (time-consuming and conducive to introduction of new bugs).
Personally whenever I take over a project that has a different variable naming scheme I tend to keep the same scheme that was being used by the previous programmer. The only thing I do different is for any new variables I add, I put an underscore before the variable name. This way I can quickly see my variables and my code without having to go into the source history and comparing versions. But when it comes to me inheriting simply unreadable code or comments I will usually go through them and clean them up as best I can without re-writing the whole thing (It has come to that). Organization is key to having extensible code!
if I can read the code, I (try) to take the same conventions
if it's not readable anyway I need to refactor and thus changing it (depending on what its like) considerable
Depends. If I'm building a new app and stealing the code from a legacy app with crap variable naming, I'll refactor once I get it into my app.
Yes..
There is litte that's more frustrating then walking into an application that has two drasticly different styles. One project I reciently worked on had two different ways of manipulating files, two different ways to implement screens, two different fundimental structures. The second coder even went so far as to make the new features part of a dll that gets called from the main code. Maintence was nightmarish and I had to learn both paradigms and hope when I was in one section I was working with the right one.
When in Rome do as the Romans do.
(Except for index variables names, e.g. "iArrayIndex++". Stop condoning that idiocy.)
I think of making a bug fix as a surgical procedure. Get in, disturb as little as possible, fix it, get out, leave as little trace of your being there as possible.
I do, but unfortunately, there where several developers before me that did not live to this rule, so I have several naming conventions to choose from.
But sometimes we get the time to set things straight so in the end, it will be nice and clean.
If the code already has a consistent style, including naming, I try to follow it. If previous programmers were not consistent, then I feel free to apply the company standard, or my personal standards if there is not any company standard.
In either case I try to mark the changes I have made by framing them with comments. I know with todays CVS systems this is often not done, but I still prefer to do it.
Unfortunately, most of the time the answer is yes. Most of the time, the code does not follow good conventions so it's hard to follow the precedent. But for readability, it's sometimes necessary to go with the flow.
However, if it's a small enough of an application that I can refactor a lot of the existing code to "smell" better, then I'll do so. Or, if this is part of a larger re-write, I'll also begin coding with the current coding standards. But this is not usually the case.
If there's a standard in the existing app, I think it's best to follow it. If there is no standard (tabs and spaces mixed, braces everywhere... oh the horror), then I do what I feel is best and generally run the existing code through a formatting tool (like Vim). I'll always keep the capitalization style, etc of the existing code if there is a coherent style.
My one exception to this rule is that I will not use hungarian notation unless someone has a gun to my head. I won't take the time to rename existing stuff, but anything I add new isn't going to have any hungarian warts on it.
On occasion I've heard people discuss the benefits of keeping track of programming mistakes, if for no other reason than it increases awareness of common errors. I've started to keep a list of bugs that I find in my code, along with what could have led to them. The main question I have is this:
What information related to my mistakes should I be keeping
track of so that I can improve as a
programmer?
And a couple other questions related to this:
How do I use this information once I start logging my mistakes?
Is tracking mistakes truly beneficial?
This is only useful if you are actually vigilant with tracking and reviewing. When I was working on a team, no matter how much documented that for example our servers in the production environment were natted and would not be able to resolve their own domain names or public IP addresses, every 6 months, I'd get a call at 4 AM from the deployment team or dev team that a new developer was responsible for, and they either forgot or were unaware.
I remember a particular engineer who was repsonsible for deploying and he had paper checklists, we built him deployment tools that forced him to record his checklist, yet he would always forgot to set the connection string (resulting in the 4 am phone call). Point is it's only worth it if your going to use it vigilantly.
I've found the best way to use this is by implementing your rules into a code analyzer like fxcop.
I think what is more useful than keeping a log of individual mistakes is making sure you come away with a real understanding of why it was a mistake in the first place. Most mistakes stem from a lack of understanding about one thing or another, correct that understanding and you eliminate an entire set of potential mistakes in the future. If I would log anything it would be what I learned from the experience that I didn't know before, not the specifics of the mistake that was made which is likely to be of limited usefulness when you look back at it later.
what was the mistake
how can it be avoided
add the latter to an appropriate checklist, and refer to it as often as appropriate
I think tracking mistakes can be worthwhile, but in my experience it helps a lot to categorize them at some level.
Every programmer is going to make enough mistakes over the course of their career to fill an encyclopaedia. If you make a huge checklist out of all of them then you're never going to get any coding done because you'll eventually be spending all of your time going over your checklist. So: categorize your mistakes in some way that makes sense to you so you can rifle through your list looking at the most important mistakes for the sort of code you're currently working on.
Also, to add to the above as far as what to collect:
what are the symptoms of the mistake (so you can find it later)
how you actually solved it
Yes, tracking your personal mistakes is beneficial. Refer to the SEI for numerous data points (here's one at random). One such methodology is the Personal Software Process (PSP). It's too long to go into here, but here's a book about it. There's also this free SEI publication on PSP.
If you balk at SEI and think Agile is the way to go, you'll probably get better mileage out of a book like Clean Code: A Handbook of Agile Software Craftsmanship (publisher website).
Bottom line: disciplined developer = good, undisciplined developer = bad.
I would also want to ask the question of how much time would be required to accurately track the mistakes, and if that time could be better spent directly on improving the software instead. If you can do this in a minimal amount of time and are able to refer back to your records to prevent future mistakes, it may be valuable. In the long run though, I think it will be better to stick with an absolutely high level list of common mistakes you make.
I'd look for trends or similar types of errors that tend to recur. Once you're aware of the types of errors you make, you can be alert for them, or you can change your coding style to avoid them.
As an example, I worked very closely with my office-mate in a previous life. At one point I was halfway through my first sentence explaining some odd behavior, and he interrupted with, "increment your counter." I still double-check my loop counters today!
Instead of keeping a log of future mistakes, maybe you could review your bugtracker history, and try to find common types of errors which keep ocurring.
I'm so inspired I think I'll try this tommorow.
"What information related to my mistakes should I be keeping track of so that I can improve as a programmer?"
Read other people blogs. Write your own. You don't have to publish it. But you do have to turn each mistake into a story.
Don't drown this in metadata. This isn't amenable to a database or even a bug tracker. A mistake is a story where someone made a bad choice and recovered from it.
Here's your outline.
Context. What was going on.
Situation. The problem you were trying to solve.
What you did. Why it was bad.
What you should have done. Why it was better.
What changed. What you learned.
You should also record your successes in almost the same form.
Context. What was going on.
Situation. The problem you were trying to solve.
What you did. Why it was good.
What you learned.
When in doubt watch a movie. Seriously. Characters a confronted with choices, make mistakes and recover from those mistakes. That story line is the essence of drama. A mistake is the same thing.
Be careful what you log. Not every bad situation is a mistake. Some situations are inevitable or so far outside your control that nothing can be done about it.
Bad planning on someone else's part which puts you into panic-mode isn't your mistake. You can meticulously log everyone else's mistakes, but what's the point? If you're tracking what other people are doing, you should seek therapy.
Bad planning which provides inadequate budget, schedule or communication about changes may be a compound problem.
You didn't provide enough planning information up front.
In the scramble to cope, you made another mistake which lead to problem resolution and recovery.
In hindsight (which is always 20/20) you can see a decision which was wrong. However, at the time, it was based on best available information. That's not a mistake. Any sentence that begins "If we'd known that X..." is useless for mistake analysis. You can try to write a checklist of all the things you need to know next time you make that decision. But next time, you won't be making exactly that decision and some other piece of information will turn up missing.
Never call other people's actions mistakes.
Find the root causes. It's a root cause when it's something you can't control.
Don't retroactively call information that turned up missing a mistake.
I have been thinking the same thing. For the time being I keep a little spreadsheet with bugs I correct. The purpose of this is to make myself aware of the more common errors being made.
Hopefully I will start to see patterns and avoid making common errors over and over again.
I find that this makes my job more interesting, probably since I am an analytical person who likes to collect data and information in a structured manner.
You should try to relate the errors to use of inadequate tools, habits, methods or knowledge. In most cases you will find there would have been ways to catch the error earlier. Things like type-safety, unit-testing, code-review, coding standards, better API design, better documentation and working environment, comes to my mind.
I use JIRA with a custom workflow. For a bug, the last step before an issue is closed is a screen that allows me to select a "root cause". I've got a history of the root cause of every bug that's occurred in the last 3 systems I've built.