Object Orient Design Why we need composition for Bird class? - class

Recently I was asked a question in an interview to design a bird flight simulator.
I went ahead and thought of strategy pattern for the simulator class and attributes like air pressure, wind velocity etc. A method would take a bird object and time and would return x,y,z coordinates.
e.g.
class Simulator
attr_accesor :bird, :air_pressure, :wind_velocity
def map_coordinates(bird, time)
...
end
...
end
and then thought about bird class:
For the bird can fly/Not fly attribute I thought about a boolean variable which would be set at initialization time. For e.g:
class Bird
attr_accessor :weight, :wing_dimension, :canfly, :height....
def initialize(weight, wing_dimension, canfly, height)
#weight = weight
#wing_dimension = wing_dimension
#canfly = canfly
#height = height
end
end
My question is from OOD point of view, it says a Bird class should use composition and use a class to encapsulate the properties required in a class. https://www.safaribooksonline.com/library/view/head-first-design/0596007124/ch01.html
So, Do I really need a class to map the canfly behavior? Can't I just have a boolean field to be initialized in this case while creating the Bird object.
Why would not that be a good design?
If not, what's the best approach and why?

In terms of OOD it's important make a comparison between association/aggregation, inheritance, composition and use. In a composition relationship the class should create object instances using the method new of the class.
Bird class has associated particular weight and height, in terms of composition a bird has two wings and a peak, which maybe can be different classes. In Wing class, wing_dimension attribute should be included as an aggregation relationship, as weight and height in bird class.
class Bird
attr_accessor :weight, :height, :rightWing, :leftWing, :peak
def initialize(weight, height)
#weight = weight
#height = height
rightWing = Wing. new
leftWing = Wing. new
peak = Peak.new
end
end
In Simulator class, for example, if you'll want to design a fly simulator, this attribute needs to be common in different classes.
To sum up, if exists an inheritance relationship between a general class, for example "Animal" with bird and fly(insect), you can make an aggregation relationship in def, and canfly as an attrinute of Animal class.
class Simulator
attr_accesor :animal, :air_pressure, :wind_velocity
def map_coordinates(animal, time)
...
end
...
end

So, Do I really need a class to map the canfly behavior? Can't I just have a Boolean field to be initialized in this case while creating the Bird object?
Why would not that be a good design? If not, what's the best approach and why?
To your first question: "Do I really need...?" That is a really good
question. In terms of Object Oriented Design, that is the very question you need to be asking yourself. In fact, that is exactly how good design decisions are made.
The fact that you also arrived at a tentative solution "Can't I just...?" means that you have identified ONE small problem that you might solve with a binary solution. bool canfly ? true : false
Let's assume, that you have looked at the big picture. You imagine that your "SIMULATOR" will have all different kinds of birds, even birds
that cannot fly, as well as those TYPICAL birds that do.
And finally, you arrive at three other, really fantastic questions.
I can't help but wonder whether or not you pulled these questions straight out of an OOA & D textbook.
1) Why would not that be a good design?
2) What would be a better design?
3) Why would the second design be better than the first
OK, I am going to try my best here. I am going to attempt to make an illustration from your approach in asking these questions, and in the way that you did. Look at the tiny footprint that all of these questions make here, in comparison to the HUGE footprint it WILL make in my post, trying to fill in all of those blanks because you have no idea how many answers those questions could generate (nor do I). That just happens to be one of the answers. Man, I hope this doesn't turn into a sprawling mess.(that's another one)
I think first, I would like to clarify one very important distinction.
The nature of these questions is not the same as the nature of the questions you would expect to find answers to in an algebra textbook. Algebra is about HOW. I discovered that the WHY
doesn't really mean anything in Algebra until you get to Calculus.
Why not this way...What way should I...How is that way better...Why is that way better...? WHY should I even care? These are the kinds of questions you find answers to in a philosophy textbook. They are the appropriate kind for OOD as well because OOD is more of a philosophy than it is a "soft science." It is my opinion, and others hold that opinion, but some think otherwise. Does that sound concrete?
Interestingly enough, that is a term used in OOD to differentiate a derived class from an Abstract class or an Interface. It is the result, but it is NOT the design. In my opinion, understanding that first is as important, if not more, than any concrete design that some might try to pass off as a good answer.
Let me ask a question also. Would you rather have your tiny footprint in your code-base or my HUGE footprint there? Because you may do what you want, that is your choice. However, let me just point something out that might change your mind. I can create an Interface lets say, and I
might call it something like this.
public Interface IEveryPossibleFlyingOperationYouOrAnyoneElseMightImagine{}; And you would probably say: That is a ridiculously long and over descriptive naming convention you have there!!! To which I would reply: Yes, but you can't even imagine how many things that Interface covers....And besides, I only ever have to write it once, because then I can do this...
IEveryPossibleFlyingOperationYouOrAnyoneElseMightImagine fly;
Then I would put that tiny little fly (also an insect that just happens to fly by the way.) in my code-base. Then, I would close it up, and HOPEFULLY never have to open it again.
Furthermore, everything that belongs to that Interface, which you know nothing about, because it has been abstracted away, and loosely coupled with other things like it, for the purpose of possible future extension, will never break your code base. How could it? It's a tiny little fly.
You see how long this answer is, and it only scratches the surface of what you are actually asking here I assure you.
Now, I will try to give you something a little more concrete, though it will not be nearly enough to satisfy all of what you are asking here.
OOP, in general, is about a lot of things, this one thing, that I hope makes at least some sense, is a principle. If that principle is learned and followed, you will never have my footprint in your code-base.
The big mystery of what is behind that interface is something that your client will never have to even know about, but I assure you that the way it is put together makes it extremely versatile and adaptive, because I built it according to tried and proven principles and patterns that other people way smarter than me figured out.
Even they don't know all of the possibilities of this paradigm because there are too many to count. They don't care anyway because they are busy solving other design issues by mixing and matching principles and patterns solving really complex problems very simply.
Also, get this, the next time you set out to design something you can put that tiny little fly in that and use it there too, and there will ever be, only one place to go to maintain and improve all that is behind that tiny little fly.
I know this is probably not the answer you were looking for, or maybe you get it already, which would be awesome. It took me forever just to figure out what the hell an object even was...but once it clicked, with the help of a really smart professor, who showed me what I tried to show here; oh..
and a book called Gang of Four; then I was able to begin, and I only wish I understood it all too.
I think if you go back and look at that article, you will be able to figure out what the other answers are, I only answered the easy one(or tried). I looked at it, and all of the information is there. It might be that you just need to look at it in a slightly different way, but you will get it if you really want to know.
I'm sorry, but that is the best I can do, and be honest at the same time. If anyone tries to tell you HOW is the answer, instead of WHY, don't listen to them, because the likely don't understand it either, but not because it's hard. It would be because they didn't start out asking the right questions like you did here. I wish you well and hope that someone else comes along who can maybe explain it better than me. +1) For asking all the right questions!

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Chess programming, Scala, JVM: How costly is dynamic dispatch? [closed]

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My aim is to write a basic chess playing AI. It doesn't need to be incredible, but I want it to play with some degree of competence against people with some level of familiarity with the game.
I have a trait called Piece which has abstract methods canMakeMove(m: Move, b: Board) and allMovesFrom(p: Position, b: Board). These methods are important to the program logic for obvious reasons, and are implemented by the concrete classes King, Queen, Pawn, Rook, Bishop, and Knight. Thus in other places, say for example in the code that determines whether or not a particular board has a King in check, these methods are called on values whose type is the abstract type Piece, (piece canMakeMove (..., ...)) so the actual method called is determined at runtime via dynamic dispatch.
I'm wondering if this is too costly for the purposes of a Chess AI program which is going to have to execute this code many times. After looking around online and reading some more about chess programming I've found that the most common representation of a chess board is not like my Vector[Vector[Option[Piece]] but an int matrix ('bit board') that likely uses a switch statement on the values in the board to accomplish the effect that I'm currently relying on dynamic dispatch to achieve. Will this prevent my AI from reaching viable performance level?
I will suggest in this answer that you are subject to a common pitfall in programming.
There is one very important wisdom that I learned from my colleagues, and it has proven its worth to me time and time again:
Only solve problems when they occur, and not any sooner.
Keep in mind that there have been chess programs and chess computers around for a long, long time.
There were even chess programs on the C64, and there were those tiny travel chess computers that were embedded in the chess board, so you could carry them around easily.
Those systems had far less resources than your present day computer by several orders of magnitude.
If you had a similar algorithm as the one that was running on those old systems, and that algorithm was implemented in Scala, with dynamic dispatch, generous vectors instead of bit arrays et cetera, they would still be faster than they were on the older hardware from the past days.
Still, writing even a moderate search heuristic for the chess problem is a colossal task for a single developer.
When faced with a colossal task, one intuitively tends to look for the first bit of the problem that one feels competent in solving, in hopes that this will then naturally lead to the next little problem that you can solve, and so on, eventually leading to a full solution to the colossal problem. Divide and conquer.
However, my personal experience tells me that this is not a good way to tackle bigger programming problems.
Usually, if you follow this path, you end up with a really, really optimized representation of the chess board, consuming only very little memory, and optimized for runtime as much as possible.
And then you're stuck. You have put all your energy into this, you're really proud of your great chessboard class, and somehow it's really dissatisfying that you feel no step closer to actually have a working chess AI.
That's where the rule that I mentioned in the beginning comes in handy.
In short: Don't optimize. Yet. You can still optimize later, if it's necessary.
Instead, do the following:
Make a class or trait that represents a chessboard.
Leave it empty in the beginning - no methods or members.
Do the same with the types representing pieces, board positions, moves etc.
Then, when you start implementing the chess AI, fill in those types with methods. But only add the methods that you really need, and only when you need them, and not any single method more than that.
Prefer to use traits in the beginning, as you can later on produce more optimized versions of a trait, if necessary.
In that way, try to get as soon as you can to the first version of your chess AI that does something interesting.
It's up to you to define what "interesting" means in this context.
It's okay if the first version of the chess AI is crappy, and loses every game because it makes really bad decisions.
It should just have that one single thing: It should do something that you find at least remotely interesting.
Then, identify the top problem that you have with your chess AI.
Think about how to solve it, come up with a plan that solves only that one problem, in the simplest way that you can possibly imagine, even if your programmer instincts tell you to do something more complex.
Resist the urge to delve into complexity fast, because the most complex code that you write will eventually turn out to be your biggest problem, and also the most inflexible part of your code base.
Short, simple, almost stupid steps towards a solution. Prototype a lot, create simple versions in a short time, and only optimize when needed.
As for the optimization - that's really not a problem.
For example, let's say that in the beginning you thought it's a good idea to define a board position like this:
case class Position(x:Int, y:Int)
Later on, you figure that it would have been a better choice to just use a tuple of ints to represent a board position. Simply substitute your previous definition with:
type Position = (Int, Int)
There you go. Do that change, compile the code, and the compile errors will show you all the places in the code that you need to adapt. It's not going to take very long to refactor this.
Even later down the line, you decide that since there are only 64 possible positions on the board, you can easily represent the position with a number in the range from 0 to 64 - reserving the number 64 for "off-board".
Again, that's an easy change:
type Position = Byte
Save, compile, fix the compile errors. Should not take longer than 15 minutes.
With this example, I want to illustrate that you shouldn't be afraid of optimizing later, waiting to solve problems only when they actually occur.
This will always require some refactoring, but the effort is usually not really worth mentioning.
I tend to think of this as "massaging the code".
Of course we know that junior programmers sometimes tend to write "spaghetti code" that is very hard to refactor later.
Maybe that's why there is a certain fear of late optimization that practically every developer knows, and the urge to optimize early.
The only real antidote against such "spaghetti code" is to go through this painful process several times. After a while, you will develop a very good intuition on how to write code that can be optimized and refactored easily.
This will match all the common programming wisdoms, like separation of concerns, short methods, encapsulation and so on.
At this point, I would recommend the book "Clean Code" as an excellent guideline.
Some more tips:
See your program as a bridge. You stand on one side of the bridge, starting off with nothing. On the far end, there is your vision - a decent chess AI. Between the ends, there is a gap. Your program will be the bridge. Don't start by putting all your energy into optimizing the very first brick that you put in your bridge. A bridge with just one perfect brick won't hold. Build a prototype bridge first - crappy, but it connects the two ends. When you have that, it's easier to enhance the crappy bridge step by step.
Abstract all the functionality into traits and classes. Be wary of code repetitions - when you find a bug or need to do a refactoring, repetitious code can be a neck breaker.
Don't be afraid to write code that doesn't look smart, as long as the code is simple and solves the problem. Bonus points for code that reads well and looks almost like an intuitive description of the algorithm.
Keep your methods short. One to six lines.
Make sure that your code doesn't nest too deeply - everyone with a bit of Scala experience should be able to understand what your code is doing.
It can be a good thing to spend some time in order to find good names for your concepts. Maybe there are even some standards of naming certain parts of a chess AI. It's good to do a bit of research first.
While you are researching, see if there are some Scala/Java libraries available that you can use, for important parts of your problem. You can still replace the libraries with your own implementations later, but in the beginning, using the knowledge of other people can give you a jump start into creating your first, prototype version "bridge". Everything that will help you close the "gap" quickly is good.
Don't think of your code as something eternal, perfect, unchangeable. Maybe you have the ambition to write the best representation of a chess board in Scala ever. Don't do that. Eternal, perfect code cannot be refactored or changed easily. Code that can be refactored easily is really good code. Refactoring code is 50% of what a programmer does.
Jump into automated testing. For Scala, using the scalatest library can be a good choice. Use a tool like SBT that will run all the automated tests on every build. If you have certain assumptions about the classes you write, hardcode those assumptions into automated tests. It will feel a little stupid and redundant at first. But the first time that one of your automated tests show you the cause of a bug that would otherwise have been very hard to find, all the time to write those automated tests will have paid out.
An advanced topic about automated testing is code coverage. You can use a tool that will generate a coverage report, how much of your code is covered by automated tests. From my own experience, I would recommend jacoco4sbt.
And finally, the mandatory citation: "Optimization is the root of all evil." - There is a lot of wisdom in this one.
Good luck, and a whole lot of fun!

OOP: Is it normal to have a lot of inherited classes?

I started writing some code for a 2D game, created a class "objets" trying to keep it as generic as possible. I have a few methods and attributes that are common to every kind of element (buldings, ppl, interface buttons, etc) like (w, h, x, y ...you know) but most of them only make sense when applied to and specific type of item.
So I would have to inherit a new class for every type of actor in the game?
Just wondering if this is a common practice, or maybe i should manage it in a different way.
Thanks in advance.
If you're introducing behaviour then subclass, however if the difference is attribute based then don't e.g.
Animal (has .colour and .makeSound) -> Dog (has .eatOwnPoop) -> RedDog (no, too specific, covered by colour)
Notice how I had ".makeSound" in Animal. I could have put .bark in dog, but then I'd have to put .meow in cat etc. The subclass can simply override and provide a concrete sound.
However, you can use interfaces to better cross-cut your code, but that's quite a lengthy topic and probably overkill for your needs (although it could help any unit testing you do).
It sounds like you are over-using inheritance. It is certainly a red flag when you simultaneously say "common attributes like ..." and "...only make sense when applied to a specific type." Also, it is a red flag that domain objects such as building share a common base class with an interface object like button. Finally, it is quite unusual to define your own objet (object?) class from which every class in your system derives. It's not inconceivable, but in combination with your other comments, it sounds like you've started down an unproductive path.
You might want to refer to a good tutorial on object-oriented design and analysis such as "Head First OOA&D"
You do not HAVE to do anything. Generally, it is useful to use derived classes if they exhibit some kind of commonality but become more specialised in nature requiring specific functionality at each level of inheritance. It is also good to use if you want to have polymorphic behaviour. You have asked a very open ended question but basically do not feel that you HAVE to use inheritance as not every problem requires it and indeed some people overuse inheritance, introducing it in places where it really is not needed. All in all, I would really recommend that if you haven't already that you read a good book on object oriented design as this will then get you to think about your code from a different perspective and greatly improve the way you view software and design it. It may sound like a cop out but this kind of question is very hard to answer without knowing all details of what you are doing.

How do you go from an abstract project description to actual code?

Maybe its because I've been coding around two semesters now, but the major stumbling block that I'm having at this point is converting the professor's project description and requirements to actual code. Since I'm currently in Algorithms 101, I basically do a bottom-up process, starting with a blank whiteboard and draw out the object and method interactions, then translate that into classes and code.
But now the prof has tossed interfaces and abstract classes into the mix. Intellectually, I can recognize how they work, but am stubbing my toes figuring out how to use these new tools with the current project (simulating a web server).
In my professors own words, mapping the abstract description to Java code is the real trick. So what steps are best used to go from English (or whatever your language is) to computer code? How do you decide where and when to create an interface, or use an abstract class?
So what steps are best used to go from English (or whatever your language is) to computer code?
Experience is what teaches you how to do this. If it's not coming naturally yet (and don't feel bad if it doesn't, because it takes a long time!), there are some questions you can ask yourself:
What are the main concepts of the system? How are they related to each other? If I was describing this to someone else, what words and phrases would I use? These thoughts will help you decide what classes are useful to think about.
What sorts of behaviors do these things have? Are there natural dependencies between them? (For example, a LineItem isn't relevant or meaningful without the context of an Order, nor is an Engine much use without a Car.) How do the behaviors affect the state of the other objects? Do they communicate with each other, and if so, in what way? These thoughts will help you develop the public interfaces of your classes.
That's just the tip of the iceberg, of course. For more about this thought process in general, see Eric Evans's excellent book, Domain-Driven Design.
How do you decide where and when to create an interface, or use an abstract class?
There's no hard and fast prescriptions; again, experience is the best guide here. That said, there's certainly some rules of thumb you can follow:
If several unrelated or significantly different object types all provide the same kind of functionality, use an interface. For example, if the Steerable interface has a Steer(Vector bearing) method, there may be lots of different things that can be steered: Boats, Airplanes, CargoShips, Cars, et cetera. These are completely unrelated things. But they all share the common interface of being able to be steered.
In general, try to favor an interface instead of an abstract base class. This way you can define a single implementation which implements N interfaces. In the case of Java, you can only have one abstract base class, so you're locked into a particular inheritance hierarchy once you say that a class inherits from another one.
Whenever you don't need implementation from a base class, definitely favor an interface over an abstract base class. This would also be handy if you're operating in a language where inheritance doesn't apply. For example, in C#, you can't have a struct inherit from a base class.
In general...
Read a lot of other people's code. Open source projects are great for that. Respect their licenses though.
You'll never get it perfect. It's an iterative process. Don't be discouraged if you don't get it right.
Practice. Practice. Practice.
Research often. Keep tackling more and more challenging projects / designs. Even if there are easy ones around.
There is no magic bullet, or algorithm for good design.
Nowadays I jump in with a design I believe is decent and work from that.
When the time is right I'll implement understanding the result will have to refactored ( rewritten ) sooner rather than later.
Give this project your best shot, keep an eye out for your mistakes and how things should've been done after you get back your results.
Keep doing this, and you'll be fine.
What you should really do is code from the top-down, not from the bottom-up. Write your main function as clearly and concisely as you can using APIs that you have not yet created as if they already existed. Then, you can implement those APIs in similar fashion, until you have functions that are only a few lines long. If you code from the bottom-up, you will likely create a whole lot of stuff that you don't actually need.
In terms of when to create an interface... pretty much everything should be an interface. When you use APIs that don't yet exist, assume that every concrete class is an implementation of some interface, and use a declared type that is indicative of that interface. Your inheritance should be done solely with interfaces. Only create concrete classes at the very bottom when you are providing an implementation. I would suggest avoiding abstract classes and just using delegation, although abstract classes are also reasonable when two different implementations differ only slightly and have several functions that have a common implementation. For example, if your interface allows one to iterate over elements and also provides a sum function, the sum function is a trivial to implement in terms of the iteration function, so that would be a reasonable use of an abstract class. An alternative would be to use the decorator pattern in that case.
You might also find the Google Techtalk "How to Design a Good API and Why it Matters" to be helpful in this regard. You might also be interested in reading some of my own software design observations.
Also, for the coming future, you can keep in pipeline to read the basics on domain driven design to align yourself to the real world scenarios - it gives a solid foundation for requirements mapping to the real classes.

Why use a post compiler?

I am battling to understand why a post compiler, like PostSharp, should ever be needed?
My understanding is that it just inserts code where attributed in the original code, so why doesn't the developer just do that code writing themselves?
I expect that someone will say it's easier to write since you can use attributes on methods and then not clutter them up boilerplate code, but that can be done using DI or reflection and a touch of forethought without a post compiler. I know that since I have said reflection, the performance elephant will now enter - but I do not care about the relative performance here, when the absolute performance for most scenarios is trivial (sub millisecond to millisecond).
Let's try to take an architectural point on the issue. Say you are an architect (everyone wants to be an architect ;)
You need to deliver the architecture to your team:
a selected set of libraries, architectural patterns, and design patterns. As a part of your design, you say: "we will implement caching using the following design pattern:"
string key = string.Format("[{0}].MyMethod({1},{2})", this, param1, param2 );
T value;
if ( !cache.TryGetValue( key, out value ) )
{
using ( cache.Lock(key) )
{
if (!cache.TryGetValue( key, out value ) )
{
// Do the real job here and store the value into variable 'value'.
cache.Add( key, value );
}
}
}
This is a correct way to do tracing. Developers are going to implement this pattern thousands of times, so you write a nice Word document telling how you want the pattern to be implemented. Yeah, a Word document. Do you have a better solution? I'm afraid you don't. Classic code generators won't help. Functional programming (delegates)? It works fairly well for some aspects, but not here: you need to pass method parameters to the pattern. So what's left? Describe the pattern in natural language and trust developers will implement them.
What will happen?
First, some junior developer will look at the code and tell "Hm. Two cache lookups. Kinda useless. One is enough." (that's not a joke -- ask the DNN team about this issue). And your patterns cease to be thread-safe.
As an architect, how do you ensure that the pattern is properly applied? Unit testing? Fair enough, but you will hardly detect threading issues this way. Code review? That's maybe the solution.
Now, what is you decide to change the pattern? For instance, you detect a bug in the cache component and decide to use your own? Are you going to edit thousands of methods? It's not just refactoring: what if the new component has different semantics?
What if you decide that a method is not going to be cached any more? How difficult will it be to remove caching code?
The AOP solution (whatever the framework is) has the following advantages over plain code:
It reduces the number of lines of code.
It reduces the coupling between components, therefore you don't have to change much things when you decide to change the logging component (just update the aspect), therefore it improves the capacity of your source code to cope with new requirements over time.
Because there is less code, the probability of bugs is lower for a given set of features, therefore AOP improves the quality of your code.
So if you put it all together:
Aspects reduce both development costs and maintenance costs of software.
I have a 90 min talk on this topic and you can watch it at http://vimeo.com/2116491.
Again, the architectural advantages of AOP are independent of the framework you choose. The differences between frameworks (also discussed in this video) influence principally the extent to which you can apply AOP to your code, which was not the point of this question.
Suppose you already have a class which is well-designed, well-tested etc. You want to easily add some timing on some of the methods. Yes, you could use dependency injection, create a decorator class which proxies to the original but with timing for each method - but even that class is going to be a mess of repetition...
... or you can add reflection to the mix and use a dynamic proxy of some description, which lets you write the timing code once, but requires you to get that reflection code just right -which isn't as easy as it might be, especially if generics are involved.
... or you can add an attribute to each method that you want timed, write the timing code once, and apply it as a post-compile step.
I know which seems more elegant to me - and more obvious when reading the code. It can be applied even in situations where DI isn't appropriate (and it really isn't appropriate for every single class in a system) and with no other changes elsewhere.
AOP (PostSharp) is for attaching code to all sorts of points in your application, from one location, so you don't have to place it there.
You cannot achieve what PostSharp can do with Reflection.
I personally don't see a big use for it, in a production system, as most things can be done in other, better, ways (logging, etc).
You may like to review the other threads on this matter:
Anyone with Postsharp experience in production?
Other than logging, and transaction management what are some practical applications of AOP?
Aspect Oriented Programming: What do you use PostSharp for?
etc (search)
Aspects take away all the copy & paste - code and make adding new features faster.
I hate nothing more than, for example, having to write the same piece of code over and over again. Gael has a very nice example regarding INotifyPropertyChanged on his website (www.postsharp.net).
This is exactly what AOP is for. Forget about the technical details, just implement what you are being asked for.
In the long run, I think we all should say goodbye to the way we are writing software now. It's tedious and plainly stupid to write boilerplate code and iterate manually.
The future belongs to declarative, functional style being held together by an object oriented framework - and the cross cutting concerns being handled by aspects.
I guess the only people who will not get it soon are the guys who are still payed for lines of code.

Help me understand OOD with current project

I have an extremely hard time figurering out how classes needs to communicate with eachother. In a current project I am doing, many classes have become so deeprooted that I have begun to make Singletons and static fields to get around(from what I get this is a bad idea).
Its hard to express my problem and its like other programmers dont have this problem.
Here is a image of a part of the program:
Class diagram
ex1. When I create a Destination object it needs information from Infopanel. How to do that without making a static getter in InfoPanel?
ex2. DestinationRouting is used in everybranch. Do I really have to make it in starter and then pass it down in all the branches?
Not sure if this makes sense to anybody :)
Its a problem that is reacurring in every project.
After looking at your class diagram, I think you are applying a procedural mind set to an OO problem. Your singletons appear to contain all of the behavior which operate on the records in your domain model and the records have very little behavior.
In order to get a better understanding of your object model, I'd try and categorize the relationships (lines) in your class diagram as one of "is-a", "has-a", etc. so that you can better see what you have.
Destination needs some information from InfoPanel, but not likely all information. Is it possible to pass only the needed information to Destination instead of InfoPanel?
What state is being captured in the DestinationRouting class that forces it to be a singleton? Does that information belong elsewhere?
There's just too little information here. For example, I am not even sure if MapPanel and InfoPanel should be the way they are. I'd be tempted to give the decorator pattern a try for what it's worth. I don't know why a Listener is a child of a Panel either. We need to know what these objects are and what system this is.