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In the last days I have found the componed based entity system.
I think i understand and know how it works, but if I try to implement it, I get a lot of problems.
Here a diagram with the most Problems:
http://s7.directupload.net/file/d/3327/pzy7kanj_jpg.htm
And I wonder me, can I add the same component twice to an entity, or should I dont allow this?
If no, how I can add multiple sprites to an Entity?
And if a make a CollisionComponent or a Physik Component, the Physik and the MoveComponent must communicate, right ?
I hope anyone can me help.
Here I have made another diagram, from Ideas:
http://s1.directupload.net/images/130725/5p83qysu.jpg
Ok there seem to be a lot of related questions between this post and the diagrams you linked to. The answer to these questions are 'it depends.' and I am guessing you would like some guidance on the subject of CBSEs rather than one line answers to all of your questions. Rather than try and regurgitate the discussion based on similar queries I will post some links here that should get you thinking more about these issues.
First there is the ES wiki. This wiki is still in its infancy, but it holds some great discussion on entity systems.
Next, there some really productive discussion over at gamedev stack exchange (maybe this question should be moved there as well). First take a look at this question, it's a good starting point because it explains why there are no clear trends in ES design (when that answer was written) and from what I've seen it still holds true today. Then there is an absolutely amazing answer given by Byte56 that explains the basics of the system-component approach extremely well, and is well worth reading even if you think you've already got a handle on it. Next there is a helpful series of questions asked by Yannbane. These questions address some of the finer points in more detail. Here are all three questions. Also, there are some questions on how to integrate input and Game States.
Finally, you should check out some open source entity systems that have had a lot of attention such as Artemis written in Java (There seems to be a server issue right now for that link but this article is a good intro, and there are c# and c++ repositories available, so you can dig into some code). There is also ash written in AS3.
Now I feel I must answer one of your questions directly:
And if a make a CollisionComponent or a Physik Component, the Physik and the MoveComponent must communicate, right ?
From the diagrams you linked to you seem to be using the systems-based approach (similar to artemis). From my reading I believe that this is one area that has been generally agreed on by the community: in the system approach the idea is to centralize the component logic so that (aside from a few simple methods as mentioned in the answer to Yannabe's second question) the component is little more than a data container. So if your components are stored in entities then your systems are required to sift through all of your entities. The systems that require more than one component should be asking each entity for all the components it needs to do its work. If it doesn't find all of those components the system should move on. So based on what you have decided so far the answer is no, components should not be communicating with eachother.
Anyway, good luck on this.
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Closed 10 years ago.
I have been programming in object-oriented languages for years now but secretly I look at some of the things my colleagues do with envy. A lot of them seem to have some inner OO instinct that I don't have - no matter how hard I try. I've read all the good books on OO but still can't seem to crack it. I feel like the guy who gave 110% to be a professional footballer but just didn't have the natural talent to make it. I'm at a loss and thinking of switching careers - what should do I?
I would say focus less on the OO programming and focus more on the OO design. Grab a paper and a pencil (or maybe a UML modelling tool), and get away from the screen.
By practicing how to design a system, you'll start to get a natural feel for object relationships. Code is just a by-product of design. Draw diagrams and model your application in a purely non-code form. What are the relationships? How do your models interact? Don't even think about the code.
Once you've spent time designing... then translate it to code. You'll be surprised at just how quickly the code can be written from a good OO design.
After a lot of design practice, you'll start seeing common areas that can be modularized or abstracted out, and you'll see an improvement in both your designs and your code.
The easiest way is to learn concepts such as SOLID, DRY, FIT, DDD, TDD, MVC, etc. As you look up these acronyms it will lead you down many other rabbit holes and once you are done with your reading you should have a good understanding of what better object-oriented programming is!
SOLID podcasts: http://www.hanselminutes.com/default.aspx?showID=168, http://www.hanselminutes.com/default.aspx?showID=163
SOLID breakdown: http://butunclebob.com/ArticleS.UncleBob.PrinciplesOfOod
DRY: http://en.wikipedia.org/wiki/Don%27t_repeat_yourself
FIT: http://www.netwellness.org/question.cfm/38221.htm
DDD: http://dddcommunity.org/
DDD required reading: http://www.infoq.com/minibooks/domain-driven-design-quickly
TDD: http://en.wikipedia.org/wiki/Test-driven_development
MVC: http://en.wikipedia.org/wiki/Model%E2%80%93view%E2%80%93controller
And yes, rolling up your sleeves and coding is always a good idea. Make a small project to the best of your current abilities. Then read an article from above. Then refactor your code to meet the needs of what you just read. Repeat until you have refactored the hell out of your code. At the end you should not only know what OO is all about but you should be able to explain why it is important and how to get their the first time. Learning how to refactor is a key to good code too. What is right now is not right tomorrow.
Too many people think of coding first, objects, last.
You can read all the books you want but that's not going to teach you how to think in an object-oriented fashion--that takes practice and a certain methodology.
Here are a few methods that have
helped me: When you're away from
work and open-minded you can
practice by looking at everything as an object. Don't look at these
objects and wonder how you're going
to program them, look at them as
properties and functions only and
how they relate or inherit from each
other. For example, when you see a
person, they are an object and
therefore would represent a class.
They have properties like hair
color, skin tone, height, etc. They
do certain functions as well. They
walk, talk, sleep, etc. Some of the
functions these people do returns
results. For example, their working
function returns a dollar amount.
You can do this with everything you
see because everything is an object.
Bicycle, car, star, etc.
Before coding a project, design it by
using post-it notes and a dry-erase
board. This will make good practice
until you get the hang of this.
Think of your specific
object/function/property. Each of
those items will have its own
post-it note. Place them as a
hierarchy on the dry-erase board. In
this regard, function/properties
will be placed under the object. If
you have another object, do the same
for that one. Then ask yourself, do
any of these post it notes
(objects/functions/properties)
relate to each other. If two objects
use the same function, create a
parent object (post-it note) and put
it above the others with the
reusable function under the new
note. Draw a line using the
dry-erase marker from the two child
objects to the parent.
When all this is done, then worry
about the internals of how the class
works.
My suggestion would be to learn something different.
Learn functional programming, and apply what you learn from that to OOP. If you know C++, play around with generic programming.
Learn non-object-oriented languages.
Not just because you should use all these things as well (you should), or because they should completely replace OOP (they probably shouldn't), but because you can apply lessons from these to OOP as well.
The secret to OOP is that it doesn't always make sense to use it. Not everything is a class. Not every relationship or piece of behavior should be modeled as a class.
Blindly trying to apply OOP, or striving to write the best OOP code possible tends to lead to huge overengineered messes with far too many levels of abstraction and indirection and very little flexibility.
Don't try to write good OOP code. Try to write good code. And use OOP when it contributes to that goal.
In many fields there's a "eureka" moment where everything kind of comes together.
I remember feeling frustrated in high school geometry. I didn't know which theorem to apply on each step of the proof. But I kept at it. I learned each theorem in detail, and studied how they were applied in different example proofs. As I understood not only the definition of each theorem, but how to use it, I built up a "toolbox" of familiar techniques that I could pull out as needed.
I think it's the same in programming. That's why algorithms, data structures, and design patterns are studied and analyzed. It's not enough to read a book and get the abstract definition of a technique. You have to see it in action too.
So try reading more code, in addition to practicing writing it yourself. That's one beauty of open source, you can download lots of code to study. Not all of that code is good, but studying bad code can be just as educational as studying good code.
Learn a different language! Most developers using only Java (just as an example) have only a limited understanding of OO because they cannot separate language features and concepts. If you don't know it yet, have a look at python. If you know python, learn Ruby. Or choose one of the functional languages.
The aswer is in your question ;)
Practice, practice, practice.
Review your own code and learn from the mistakes.
TDD has helped me most in improving my overall skillset including OOP.
The more code you write, the more you will notice the pitfalls of certain programming practices. After enough time, and enough code, you will be able to identify the warning signs of these pitfalls and be able to avoid them. Sometimes when I write code, I will get this itch in the back of my mind telling me that there may be a better way to do this, even though it does what I need it to. One of my greatest programming weaknesses is "over-analyzing" things so much that it starts to dramatically slow down development time. I am trying to prevent these "itches" by spending a little more time on design, which usually results in a lot less time writing code.
...secretly I look at some of the things my colleagues do with envy. A lot of them seem to have some inner OO instinct that I don't have - no matter how hard I try...
I think you have answered your own question here. Reading good code is a good start, and understanding good code is even better, but understanding the steps to get to that good code is the best. When you see some code that you are envious of, perhaps you could ask the author how he/she arrived at that solution. This is entirely dependent on your work environment as well as the relationships with your colleagues. In any event, if anyone asks me the thought process behind any code I write, I don't hesitate to tell them because I know I would want them to do the same for me.
Language designers have interpreted "Object Oriented Programming" in different ways. For instance, see how Alan Kay, the man who first used the term OOP, defined it:
OOP to me means only messaging, local
retention and protection and hiding of
state-process, and extreme
late-binding of all things. It can be
done in Smalltalk and in LISP. There
are possibly other systems in which
this is possible, but I'm not aware of
them.
(Quoted from http://userpage.fu-berlin.de/~ram/pub/pub_jf47ht81Ht/doc_kay_oop_en).
It might seem strange that he don't consider Java and C++ OOP languages! But as the designer of one of the first and best OOP languages (Smalltalk) he has his own valid reasons for that. Why did Alan Kay consider Lisp an Object Oriented language but not Java? That question demands serious consideration by anyone who claims to understand OOP.
Erlang has an altogether different implemntation of OOP, Scheme has another.
It is worth considering all these alternative views. If possible learn all these languages! That will give you a broader outlook, put some new and powerful tools in your hand and make you a better programmer.
I have summarized my experiments with implementing an OOP language, based on ideas borrowed from Smalltalk, Scheme and Erlang in this article.
public void MasteryOfOOP()
{
while(true)
/* My suggestion is: */
DO: find a lot of well-written object oriented code and read it. Then
try to use the insights from it on your own coding. Then do it again. Then
have a colleague who is a good OOP look at it and comment. Maybe post a chunk
of your code on SO and ask for how it could be improved.
Then read some more of those books. Maybe they make a little more
sense now...?
Now go back to the top of this post, and do it again.
Repeat Forever.
}
}
If you're lost as to how to design object-oriented systems, start with the data. Figure out what stuff you need to keep track of and what information naturally goes together (for example, all of the specs of a model of car group together nicely).
Each of these kinds of thing you decide to track becomes a class.
Then when you need to be able to execute particular actions (for example, marking a model of car as decommissioned) or ask particular questions (for example, asking how many of a given model of car were sold in a given year), you load that functionality onto the class it interacts with most heavily.
In general, there should always be a pretty natural place for a given bit of code to live in your class structure. If there isn't, that signals that there's a place where the structure needs to be built out.
There's too much information about objects. The most important thing is to master the basics and everything falls into place more easily.
Here's a way to think about objects. Think about data structures in procedural languages. They are a group of fields without behaviour. Think about functions that receive pointers to those data structures and manipulate the latter. Now, instead of having them separate, define the functions inside the definition of the the structures and assume the functions usually receive a pointer to the data structure to manipulate. That pointer is called this. In sum, think about objects as the combination of status (data) and behaviour (methods - the fancy name for functions in OOP).
This is the absolute basic. There are three more concepts you must absolutely master:
Inheritance - This is all about code reuse.
Encapsulation - This is all about hiding the implementation from the interface. Simply put, everything ought to be private until proven otherwise.
Polymorphism - It doesn't matter the type of the reference variable, but the type of the actual instance to know which behaviour (method) is called. Java doesn't make it easy to have this concept very visible because by definition everything is polymorphic. .Net makes it easier to understand as you decide what is polymorphic and what is not, hence noticing the difference in behaviour. This is achieved by the combination of virtual and override.
If these concepts are very well understood, you'll be fine.
One last final tip: You mention the best books. Have you read "Thinking in Java" by Bruce Eckel? I recommend this book even to people who are beginning in .Net, as the OOP concepts are clearly laid out.
Become more agile, learn junit testing and study about Domain Driven Design. I suggest the book Domain-Driven Design: Tackling Complexity in the Heart of Software although it's a bit tough at some points.
OOP skills comes over time. Reading 1, 2 ...10 books doesn't cut it. Practice writing some code. If you are working in a programming enviornment...that can be helpful. If not try getting into one. Offer to develop some application(s) for free. You have to get your hands dirty. Remember...no application is perfect from the ground up.That's why there is re-factoring.
Also...don't get carried away with the OOP too much...it somes over time. Worry about developing fully functional applications.
Try some programming in Self, one of the most pure OO languages around. So pure, in fact, that it doesn't even have classes, only objects. It also doesn't have variables, fields, statics, attributes, only methods. Also interesting is the fact that every object in the system is also an object on the screen and vice-versa.
Some of the interesting papers on Self are Prototype-Based Application Construction Using SELF 4.0 (the Self tutorial), Self: The Power of Simplicity and Organizing Programs Without Classes. Also, Self: The Video (Randall B. Smith; Dave Ungar) is terrific, having two of the language's designers explain Self's ideas.
This works for pretty much any concept, actually, at least for me: find the language which most purely embodies the concept you want to learn about and just use it.
OO finally clicked for me after I tried to program a bank-like program that handled transactions, calculated interest, and kept track of it all. I did it while I was learning Java. I would suggest just trying it, completing it, and then when you're done go look at a GOOD solution and see what you could've done better.
I also think OOP skills strenghten mostly with practice. Consider changing your company, if you've been there for more than 3 years. Certainly, this is not valid for all jobs, but often a man gets used to the projects and practices at a company and stops advancing as time passes.
Roll up your sleeves and code!
You said the answer yourself: practice. Best solution for this is to develop a game. Use the concepts you learnt in the books there.
Have you read the chapter on OO from the first edition of Scott Meyers "Effective C++" book? It didn't make it to later editions, but it was a great explanation. The title was basically "say what you mean, mean what you say" about suitable conventions.
Actually, you might like to see my answer to a similar question over here.
HTH
cheers,
OOP is not a thing you can master by reading thousands of books. Rather you have to feel the inner concepts. Read anything but try to feel what you read. Build a concept in the back of your mind and try to match those concepts when you face a new scenario. Verify and Update your concepts as you explore new things.
Good luck!
Plan things out. Ask yourself how you want your objects to relate to eachother and seek out how things can be changed and modularized.
Code things in such a way that if you wanted to change 1 piece of the code, you only have to change that 1 piece of code and not 50 instances of it.
beer helps. seriously. lie out on a couch with an A3 sized scribble pad, a pen and a beer. Lock the dog, cat and wife outside. And think about the problem while relaxed. Don't even dare draw an API on it!
Flowcharts, Responsibity cards (CRC) and beer (but not too much) go a long way.
Easiest way to refactor code is to not have to in the first place.
http://misko.hevery.com/code-reviewers-guide/
Those small simple rules will make you a better OO programmer. Follow the rules religiously as you code and you will find your code is better than it would otherwise be.
You'll also want to learn the Solid Principles: http://butunclebob.com/ArticleS.UncleBob.PrinciplesOfOod
As much as these principles and ways of programming cause debate, they are the only way to truly write excellent code.
You may already write code this way and not know it-- if so, great. But if you need a goal to strive towards, these are the gold standard.
Give up! Why do you need that that OOP? Just write some usable app. Doesnt metter using OOP, procedual or functional approach.
Whataver approach you choose Python language should be sutable to practice it.
You're my target audience. Look at Building Skills in OO Design
Perhaps this can help.
When starting a new application what are some ways to decide what objects you will need, what they should do, and how they should interact with each other?
Is this a job for a white board, or is it easier to just start coding and move stuff around as needed?
CRC Cards, or Class-Responsibility-Collaboration Cards, are a good way to do this - see the Wikipedia page.
They're a good way to brainstorm (as a team or just by yourself) which classes you'll needed, what each class will be responsible for, and how they'll interact with each other.
You might want to try:
CRC Cards
The cards will help define the object, its responsibilities, and its collaborations.
There's an entire process that you go through when creating the CRC cards. That process defines the rules that help make each class concise and really only perform the operations it needs.
This should fall more or less 'naturally' from the requirements.
Do you have a solid understanding of what the app is supposed to do, its scope, et al?
It really depends on what the size of the project is you're talking about: the approach and rigor one must apply is different for a team building commercial software than a personal project.
That said, some general tips are:
1) On your medium of choice (I like whiteboards) start enumerating the use cases or user stories. Keep going until you feel like you've gotten the most important/encompassing 80% covered.
2) When you're satisfied that you have the "WHAT" (use cases) succinctly and more-or-less sufficiently defined, you can start working out the "HOW" (objects, algorithms, et al). I would suggest a bias towards less complexity: you do not want a complicated and multi-layered object hierarchy unless you really, really need it (and even then, you probably don't).
3) I tend to enforce a "no-coding" rule until #1 and #2 are done, throw-away prototypes or explorations of particular approaches notwithstanding. It's very very easy to start slinging code and discover you're "trapped" by the object model you came up with before you fully understood what it is you're building.
4) Once you're done with your requirements gathering you can use any # of approaches to start breaking out functional units/objects/roles/etc. CRC cards are one approach; I've also had success with UML class & sequence diagrams.
I personally like to do lots of whiteboarding in UML; I take pictures with a digital camera frequently to archive thinking/approaches. These are much better than nothing when it comes to poor-man's documentation or answering the question "why did/didn't we..." 2 months down the road.
I think the answer depends on a couple of factors:
what is the size of the project? For a small project it's fairly easy to have a good idea of the three or four objects that might be required and just start coding. For bigger projects it's important to start listing them beforehand so that you can develop good object names and hierarchy.
how many people are on the project? If there is more than just you, you should sit down and plan who is going to be working on what and that requires a list of the classes that are going to be needed.
For anything bigger than a small (one or two day) project, it's worth putting some time into design before you start coding. White boards are fine for this but make sure you take a picture when you're done!
Sequence and class diagrams. These go a long way when your in design. The last thing you want to do, unless you aren't constrained in terms of time & resources, is just start coding.
Probably best to start on a whiteboard or some design overview. It all depends on what your application needs to do really. Figure out what actions your application needs to do. Associate objects accordingly with the methods you come up after breaking your application down into appropriate pieces.
I've been studying OOP for quite a while now and I have a good grasp of the theory. I read the Head First book on OOP and, while it reinforced a lot of the theory, I found the case studies to be somewhat trivial.
I find that I'm applying OOP principles to my code each day, but I'm not sure if I'm applying them correctly. I need to get to the point where I am able to look at my code and know whether I'm using inheritance appropriately, whether my object is cohesive enough, etc.
Does anyone have any good recommendations (books, online guides, blogs, walk-throughs, etc.) for taking the next step in developing solid OOP skills?
I am working primarily in .NET (visual basic), but I welcome suggestions that incorporate various platforms.
Read Refactoring by Martin Fowler, and apply it to your own work.
It will take you through a litany of malodorous characteristics of software code that describe how to detect improperly constructed classes, and even more importantly, how to fix them.
Consider looking into Design Patterns. Although it seems like they aren't commonly used in enterprise applications (I've seen them more commonly used in API's and Frameworks than embedded into enterprise code), they could be applied to make software simpler or more robust in a lot of situations if only developers knew how to apply them.
The key is to understand the design patterns first, then with experience you'll learn how to apply them.
There is a Head First book on design patterns that teaches the concept pretty simply, although if you want a book that really covers design patterns in detail, check out the Gang of Four design patterns book, which is basically what made design patterns mainstream and is referred to almost every time the topic is brought up.
Design patterns can be applied in pretty much any object-oriented language to some degree or another, although some patterns can be overkill or over engineering in some cases.
EDIT:
I also want to add, you should check out the book Code Complete 2. It's a very influential book in the world of software development. It covers a lot of different concepts and theories. I learn something new every time I read it. It's such a good book that if I read it every 6 months to a year, I look at it from a different perspective that makes me a better programmer just by re-reading it. No matter how much you might think you know, this book will make you realize just how little you really know. It's really a great book. I can't stress how much you should own this book.
If you already have the basics, I believe only experience will get you further. You say you are not sure if you are applying the principles correctly, but there is no one correct way. Code you write today, you'll look at in 6 months time, and wonder why you wrote it that way, and probably know of a better, cleaner way of doing it. I also guarantee that after 10 years, you'll still be learning new techniques and tricks. Don't worry too much about it, it will come, just read as much as you can, and try and apply what you read in small chunks.
I am currently half-way through the following book:
http://www.amazon.com/Applying-UML-Patterns-Introduction-Object-Oriented/dp/0131489062
I cannot recommend this book strongly enough in terms of learning a real-life, professional-grade, practical approach to drafting and applying a well-formed and iterative design strategy before diving into code.
I, too, read the "Head First" book and felt that I was much better off for having read it.
After having a few years of working-world experience, I now view the Craig Larman book that I am recommending to be a perfect "next step" for me.
About the Presence of "UML" in this Book Title:
Whether you have positive feelings or negative feelings about UML notation, please do not let that influence your decision to buy the book (ISBN 0131489062) in either direction.
The prominence of "UML" in the title is misleading. While the author does use and explain UML notation, these explanations are extremely well-woven into relevant design discussions, and at no time does this book read like a boring UML spec.
In fact, here is a quote taken directly from the book:
What's important is knowing how to think and design in objects, which is a very different and much more valuable skill than knowing UML notation. While drawing a diagram, we need to answer key questions: What are the responsibilities of the object? Who does it collaborate with? What design patterns should be applied? Far more important than knowing the difference between UML 1.4 and 2.0 !
This book at times seems like it is "speaking to" a lead architect or a project manager. What I mean to say by that is that it assumes that the reader has significant control over the planning and direction of a software project.
Nonetheless, even if you are only responsible for some very small piece of your company's projects and products, I would still recommend this book and encourage you to apply some "scaled down" modifications of the book's advice to your piece of the project.
My OOP epiphany came from Grady Booch's book, way long time ago. Suddenly I realized why objects were good.
While polymorphism is cool, encapsulation is 75% of why objects are cool. It is sort of like an interface: you see the buttons but not the wiring. Before objects, only the most disciplined coders kept their grubby fingers off the internal bits of other people's procedures (it was called "structured programming").
Object make it easy to Do the Right Thing. Inheritance and polymorphism are little bonuses.
One way to learn about objects is to read other peoples' code. I learned a lot by reading the source code for the Delphi VCL framework. Even just looking at the documentation for Java will help you see what a single object class should do and how it is designed to be used by other objects.
Start a project of your own and pay attention when you want to sub-class your own classes and find that you have to go back and break up some protected methods so you can override just one piece of a process instead of replacing all of it. See how ancestors talk to descendants by calling abstract functions. In other words, go make a lot of mistakes and learn from them.
Enjoy!
Frankly, re-reading old David Parnas papers on information hiding helps me get in the right state of mind. The case studies may not be directly applicable but you should be able to get some useful generalizations out of them.
My epiphany happened when I tried to implement a very OO problem (dynamically and recursively building SQL statements) in VB6. The best way to understand polymorphism or inheritance is to need it and not be able to use it.
One thing that will definitely help you is working on a well-known, respected open source project. Either dig through the source code and see how things are done or try to make some additions / modifications. You'll find that there isn't one style or one right answer for most problems, but by looking at several projects, you'll be able to get a wide view of how things can be done. From there, you'll begin to develop your own style and will hopefully make some contributions to open source in the process.
I think you have to attempt and fail at implementing OO solutions. That's how I did it anyway. What I mean by fail is that you end up writing smelly code while successfully delivering a working solution. After it's written you'll get a feel for where things didn't quite feel right. You may have some epiphanies, and/or you may go and hunt for a slicker solution from other programmers. Undoubtedly you'll implement some variation of standard design patterns by accident. In hindsight, a light will click on (oh! so that's what a visitor is for), and then understanding will accelerate.
As others have said, I think tooling through some good OO open source code is a good idea. So is working with more experienced programmers who would be willing to critique your work. However understanding comes through doing.
You might want to try to read (and write) some Smalltalk for a while. Squeak is a free implementation that can show you the power of a fully object-oriented environment (unlike java or .net). All library code source is included. The language itself is incredibly simple. You'll find that java and c# are slowly adding the features well-known to Smalltalk since 1980.
Tortoise HG is extrodanarily well designed piece of OO open source software (written in Python).
If you already understand the basics, building something from scratch in a fully object oriented language will be a good step in fully understanding OOP software architecture. If you don't know Python, Python Essential Reference will take you through the language in full in a few days to a week.
After you understand the language take a look through the software above and you'll have all sorts of epiphanies.
To understand basically anything thoroughly, you need to have a decent knowledge of at least one abstraction level above and one level below it. In the case of OO, others have mentioned design patterns as the layer above OO. This helps a lot to illustrate why OO is useful.
As far as the layer below OO, try to play around with higher-order functions/late binding for a while and get a feel for how these relatively simple constructs are used. Also, try to understand how OO is implemented under the hood (vtables, etc.) and how it can be done in pure C. Once you grok the value of using higher order functions and late binding, you'll quickly realize that OO is just a convenient syntax for passing around a set of related functions and the data they operate on.
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I recently read an interesting comment on an OOP related question in which one user objected to creating a "Manager" class:
Please remove the word manager
from your vocabulary when talking
about class names. The name of the
class should be descriptive of its'
purpose. Manager is just another word
for dumping ground. Any
functionality will fit there. The word
has been the cause of many extremely
bad designs
This comment embodies my struggle to become a good object-oriented developer. I have been doing procedural code for a long time at an organization with only procedural coders. It seems like the main strategy behind the relatively little OO code we produce is to break the problem down into classes that are easily identifiable as discrete units and then put the left over/generalized bits in a "Manager" class.
How can I break my procedural habits (like the Manager class)? Most OO articles/books, etc. use examples of problems that are inherently easy to transform into object groups (e.g., Vehicle -> Car) and thus do not provide much guidance for breaking down more complex systems.
First of all, I'd stop acting like procedural code is wrong. It's the right tool for some jobs. OO is also the right tool for some jobs. So is functional. Each paradigm is just a different point of view of computation, and exists because it's convenient for certain problems, not because it's the only right way to program. In principle, all three paradigms are mathematically equivalent, so use whichever one best maps to the problem domain. IMHO, if using a multiparadigm language it's even ok to blend paradigms within a module if different subproblems are best modeled by different worldviews.
Secondly, I'd read up on design patterns. It's hard to understand OO without some examples of the real-world problems it's good for solving. Head First Design Patterns is a good read, as it answers a lot of the "why" of OO.
Becoming good at OO takes years of practice and study of good OO code, ideally with a mentor. Remember that OO is just one means to an end. That being said, here are some general guidelines that work for me:
Favor composition over inheritance. Read and re-read the first chapter of the GoF book.
Obey the Law of Demeter ("tell, don't ask")
Try to use inheritance only to achieve polymorphism. When you extend one class from another, do so with the idea that you'll be invoking the behavior of that class through a reference to the base class. ALL the public methods of the base class should make sense for the subclass.
Don't get hung up on modeling. Build a working prototype to inform your design.
Embrace refactoring. Read the first few chapters of Fowler's book.
The single responsibility principle helps me break objects into manageable classes that make sense.
Each object should do one thing, and do it well without exposing how it works internally to other objects that need to use it.
A 'manager' class will often:
Interogate something's state
Make a decision based on that state
As an antidote or contrast to that, Object-Oriented design would encourage you to design class APIs where you "tell don't ask" the class itself to do things itself (and to encapsulate its own state): for more about "tell don't ask" see e.g. here and here (and maybe someone else has a better explanation of "tell don't ask" but these are first two articles that Google found for me).
It seems like the main strategy the little OO code we produce is to break the problem down into classes that are easily identifiable as discrete units and then put the left over/generalized bits in a "Manager" class.
That may well be true even at the best of times. Coplien talked about this towards the end of his Advanced C++: Programming Styles and Idioms book: he said that in a system, you tend to have:
Self-contained objects
And, "transactions", which act on other objects
Take, for example, an airplane (and I'm sorry for giving you another vehicular example; I'm paraphrasing him):
The 'objects' might include the ailerons, the rudder, and the thrust
The 'manager' or autpilot would implement various commands or transactions
For example, the "turn right" transaction includes:
flaps.right.up()
flaps.left.down()
rudder.right()
thrust.increase()
So I think it's true that you have transactions, which cut across or use the various relatively-passive 'objects'; in an application, for example, the "whatever" user-command will end up being implemented by (and therefore, invoking) various objects from every layer (e.g. the UI, the middle layer, and the DB layer).
So I think it's true that to a certain extent you will have 'bits left over'; it's a matter of degree though: perhaps you ought to want as much of the code as possible to be self-contained, and encapsulating, and everything ... and the bits left over, which use (or depend on) everything else, should be given/using an API which hides as much as possible and which does as much as possible, and which therefore takes as much responsibility (implementation details) as possible away from the so-called manager.
Unfortunately I've only read of this concept in that one book (Advanced C++) and can't link you to something online for a clearer explanation than this paraphrase of mine.
Reading and then practicing OO principles is what works for me. Head First Object-Oriented Analysis & Design works you through examples to make a solution that is OO and then ways to make the solution better.
You can learn good object-oriented design principles by studying design patterns. Code Complete 2 is a good book to read on the topic. Naturally, the best way to ingrain good programming principles into your mind is to practice them constantly by applying them to your own coding projects.
How can I break my procedural habits (like the Manager class)?
Make a class for what the manager is managing (for example, if you have a ConnectionManager class, make a class for a Connection). Move everything into that class.
The reason "manager" is a poor name in OOP is that one of the core ideas in OOP is that objects should manage themselves.
Don't be afraid to make small classes. Coming from a procedural background, you may think it isn't worth the effort to make a class unless it's a thousand lines of code and is some core concept in your domain. Think smaller. A ten line class is totally valid. Make little classes where you see they make sense (a Date, a MailingAddress) and then work your way up by composing classes out of those.
As you start to partition little pieces of your codebase into classes, the remaining procedural code soup will shrink. In that shrinking pool, you'll start to see other things that can be classes. Continue until the pool is empty.
How many OOP programmers does it take to change a light bulb?
None, the light bulb changes itself.
;)
You can play around with an OO language that has very bad procedural support like Smalltalk. The message sending paradigm will force you into OO thinking.
i think you should start it with a good plan.
planning using CLASS Diagrams would be a good start.
you should identify the ENTITIES needed in the applicaiton,
then define each entitie's ATTRIBUTES, and METHODS.
if there are repeated ones, you could now re-define your entities
in a way that inheritance could be done, to avoid redundancy.
:D.
I have a three step process, this is one that I have gone through successfully myself. Later I met an ex-teacher turned programmer (now very experienced) who explained to me exactly why this method worked so well, there's some psychology involved but it's essentially all about maintaining control and confidence as you learn. Here it is:
Learn what test driven development (TDD) is. You can comfortably do this with procedural code so you don't need to start working with objects yet if you don't want to. The second step depends on this.
Pick up a copy of Refactoring: Improving the Design of Existing Code by Martin Fowler. It's essentially a catalogue of little changes that you can make to existing code. You can't refactor properly without tests though. What this allows you to do is to mess with the code without worrying that everything will break. Tests and refactoring take away the paranoia and sense that you don't know what will happen, which is incredibly liberating. You left to basically play around. As you get more confident with that start exploring mocks for testing the interactions between objects.
Now comes the big that most people, mistakenly start with, it's good stuff but it should really come third. At this point you can should reading about design patterns, code smells (that's a good one to Google) and object oriented design principles. Also learn about user stories or use cases as these give you good initial candidate classes when writing new applications, which is a good solution to the "where do I start?" problem when writing apps.
And that's it! Proven goodness! Let me know how it goes.
My eureka moment for understanding object-oriented design was when I read Eric Evans' book "Domain-Driven Design: Tackling Complexity in the Heart of Software". Or the "Domain Driven Design Quickly" mini-book (which is available online as a free PDF) if you are cheap or impatient. :)
Any time you have a "Manager" class or any static singleton instances, you are probably building a procedural design.