How to Design a generic business entity and still be OO? - oop

I am working on a packaged product that is supposed to cater to multiple clients with varying requirements (to a certain degree) and as such should be built in a manner to be flexible enough to be customizable by each specific client. The kind of customization we are talking about here is that different client's may have differing attributes for some of the key business objects. Also, they could have differing business logic tied in with their additional attributes as well
As an very simplistic example: Consider "Automobile" to be a business entity in the system and as such has 4 key attributes i.e. VehicleNumber, YearOfManufacture, Price and Colour.
It is possible that one of the clients using the system adds 2 more attributes to Automobile namely ChassisNumber and EngineCapacity. This client needs some business logic associated with these fields to validate that the same chassisNumber doesnt exist in the system when a new Automobile gets added.
Another client just needs one additional attribute called SaleDate. SaleDate has its own business logic check which validates if the vehicle doesnt exist in some police records as a stolen vehicle when the sale date is entered
Most of my experience has been in mostly making enterprise apps for a single client and I am really struggling to see how I could handle a business entity whose attributes are dynamic and also has a capacity for having dynamic business logic as well in an object oriented paradigm
Key Issues
Are there any general OO principles/patterns that would help me in tackling this kind of design?
I am sure people who have worked on generic / packaged products would have faced similar scenarios in most of them. Any advice / pointers / general guidance is also appreciated.
My technology is .NET 3.5/ C# and the project has a layered architecture with a business layer that consists of business entities that encompass their business logic

This is one of our biggest challenges, as we have multiple clients that all use the same code base, but have widely varying needs. Let me share our evolution story with you:
Our company started out with a single client, and as we began to get other clients, you'd start seeing things like this in the code:
if(clientName == "ABC") {
// do it the way ABC client likes
} else {
// do it the way most clients like.
}
Eventually we got wise to the fact that this makes really ugly and unmanageable code. If another client wanted theirs to behave like ABC's in one place and CBA's in another place, we were stuck. So instead, we turned to a .properties file with a bunch of configuration points.
if((bool)configProps.get("LastNameFirst")) {
// output the last name first
} else {
// output the first name first
}
This was an improvement, but still very clunky. "Magic strings" abounded. There was no real organization or documentation around the various properties. Many of the properties depended on other properties and wouldn't do anything (or would even break something!) if not used in the right combinations. Much (possibly even most) of our time in some iterations was spent fixing bugs that arose because we had "fixed" something for one client that broke another client's configuration. When we got a new client, we would just start with the properties file of another client that had the configuration "most like" the one this client wanted, and then try to tweak things until they looked right.
We tried using various techniques to get these configuration points to be less clunky, but only made moderate progress:
if(userDisplayConfigBean.showLastNameFirst())) {
// output the last name first
} else {
// output the first name first
}
There were a few projects to get these configurations under control. One involved writing an XML-based view engine so that we could better customize the displays for each client.
<client name="ABC">
<field name="last_name" />
<field name="first_name" />
</client>
Another project involved writing a configuration management system to consolidate our configuration code, enforce that each configuration point was well documented, allow super users to change the configuration values at run-time, and allow the code to validate each change to avoid getting an invalid combination of configuration values.
These various changes definitely made life a lot easier with each new client, but most of them failed to address the root of our problems. The change that really benefited us most was when we stopped looking at our product as a series of fixes to make something work for one more client, and we started looking at our product as a "product." When a client asked for a new feature, we started to carefully consider questions like:
How many other clients would be able to use this feature, either now or in the future?
Can it be implemented in a way that doesn't make our code less manageable?
Could we implement a different feature that what they are asking for, which would still meet their needs while being more suited to reuse by other clients?
When implementing a feature, we would take the long view. Rather than creating a new database field that would only be used by one client, we might create a whole new table which could allow any client to define any number of custom fields. It would take more work up-front, but we could allow each client to customize their own product with a great degree of flexibility, without requiring a programmer to change any code.
That said, sometimes there are certain customizations that you can't really accomplish without investing an enormous effort in complex Rules engines and so forth. When you just need to make it work one way for one client and another way for another client, I've found that your best bet is to program to interfaces and leverage dependency injection. If you follow "SOLID" principles to make sure your code is written modularly with good "separation of concerns," etc., it isn't nearly as painful to change the implementation of a particular part of your code for a particular client:
public FirstLastNameGenerator : INameDisplayGenerator
{
IPersonRepository _personRepository;
public FirstLastNameGenerator(IPersonRepository personRepository)
{
_personRepository = personRepository;
}
public string GenerateDisplayNameForPerson(int personId)
{
Person person = _personRepository.GetById(personId);
return person.FirstName + " " + person.LastName;
}
}
public AbcModule : NinjectModule
{
public override void Load()
{
Rebind<INameDisplayGenerator>().To<FirstLastNameGenerator>();
}
}
This approach is enhanced by the other techniques I mentioned earlier. For example, I didn't write an AbcNameGenerator because maybe other clients will want similar behavior in their programs. But using this approach you can fairly easily define modules that override default settings for specific clients, in a way that is very flexible and extensible.
Because systems like this are inherently fragile, it is also important to focus heavily on automated testing: Unit tests for individual classes, integration tests to make sure (for example) that your injection bindings are all working correctly, and system tests to make sure everything works together without regressing.
PS: I use "we" throughout this story, even though I wasn't actually working at the company for much of its history.
PPS: Pardon the mixture of C# and Java.

That's a Dynamic Object Model or Adaptive Object Model you're building. And of course, when customers start adding behaviour and data, they are programming, so you need to have version control, tests, release, namespace/context and rights management for that.

A way of approaching this is to use a meta-layer, or reflection, or both. In addition you will need to provide a customisation application which will allow modification, by the users, of your business logic layer. Such a meta-layer does not really fit in your layered architecture - it is more like a layer orthoganal to your existing architecture, though the running application will probably need to refer to it, at least on initialisation. This type of facility is probably one of the fastest ways of screwing up the production application known to man, so you must:
Ensure that the access to this editor is limited to people with a high level of rights on the system (eg administrator).
Provide a sandbox area for the customer modifications to be tested before any changes they are testing are put on the production system.
An "OOPS" facility whereby they can revert their production system to either your provided initial default, or to the last revision before the change.
Your meta-layer must be very tightly specified so that the range of activities is closely defined - George Orwell's "What is not specifically allowed, is forbidden."
Your meta-layer will have objects in it such as Business Object, Method, Property and events such as Add Business Object, Call Method etc.
There is a wealth of information about meta-programming available on the web, but I would start with Pattern Languages of Program Design Vol 2 or any of the WWW resources related to, or emanating from Kent or Coplien.

We develop an SDK that does something like this. We chose COM for our core because we were far more comfortable with it than with low-level .NET, but no doubt you could do it all natively in .NET.
The basic architecture is something like this: Types are described in a COM type library. All types derive from a root type called Object. A COM DLL implements this root Object type and provides generic access to derived types' properties via IDispatch. This DLL is wrapped in a .NET PIA assembly because we anticipate that most developers will prefer to work in .NET. The Object type has a factory method to create objects of any type in the model.
Our product is at version 1 and we haven't implemented methods yet - in this version business logic must be coded into the client application. But our general vision is that methods will be written by the developer in his language of choice, compiled to .NET assemblies or COM DLLs (and maybe Java too) and exposed via IDispatch. Then the same IDispatch implementation in our root Object type can call them.
If you anticipate that most of the custom business logic will be validation (such as checking for duplicate chassis numbers) then you could implement some general events on your root Object type (assuming you did it something like the way we do.) Our Object type fires an event whenever a property is updated, and I suppose this could be augmented by a validation method that gets called automatically if one is defined.
It takes a lot of work to create a generic system like this, but the payoff is that application development on top of the SDK is very quick.
You say that your customers should be able to add custom properties and implement business logic themselves "without programming". If your system also implements data storage based on the types (ours does) then the customer could add properties without programming, by editing the model (we provide a GUI model editor.) You could even provide a generic user application that dynamically presents the appropriate data-entry controls depending on the types, so your customers could capture custom data without additional programming. (We provide a generic client application but it's more a developer tool than a viable end-user application.) I don't see how you could allow your customers to implement custom logic without programming... unless you want to provide some kind of drag-n-drop GUI workflow builder... surely a huge task.
We don't envisage business users doing any of this stuff. In our development model all customisation is done by a developer, but not necessarily an expensive one - part of our vision is to allow less experienced developers produce robust business applications.

Design a core model that acts as its own independent project
Here's a list of some possible basic requirements...
The core design would contain:
classes that work (and possibly be extended) in all of the subprojects.
more complex tools like database interactions (unless those are project specific)
a general configuration structure that should be considered standard across all projects
Then, all of the subsequent projects that are customized per client are considered extensions of this core project.
What you're describing is the basic purpose of any Framework. Namely, create a core set of functionality that can be set apart from the whole so you don't have to duplicate that development effort in every project you create. Ie, drop in a framework and half your work is done already.
You might say, "what about the SCM (Software Configuration Management)?"
How do you track revision history of all of the subprojects without including the core into the subproject repository?
Fortunately, this is an old problem. Many software projects, especially those in the the linux/open source world, make extensive use of external libraries and plugins.
In fact git has a command that's specifically used to import one project repository into another as a sub-repository (preserving all of the sub-repository's revision history etc). In fact, you can't modify the contents of the sub-repository because the project won't track it's history at all.
The command I'm talking about is called 'git submodule'.
You may ask, "what if I develop a really cool feature in one client's project that I'd like to use in all of my client's projects?".
Just add that feature to the core and run a 'git submodule sync' on all the other projects. The way git submodule works is, it points to a specific commit within the sub-repository's history tree. So, when that tree is changed upstream, you need to pull those changes back downstream to the projects where they're used.
The structure to implement such a thing would work like this. Lets say that you software is written specifically to manage a car dealership (inventory, sales, employees, customers, orders, etc...). You create a core module that covers all of these features because they are expected to be used in the software for all of your clients.
But, you have recently gained a new client who wants to be more tech savvy by adding online sales to their dealership. Of course, their website is designed by a separate team of web developers/designers and webmaster but they want a web API (Ie, service layer) to tap into the current infrastructure for their website.
What you'd do is create a project for the client, we'll call it WebDealersRUs and link the core submodule into the repository.
The hidden benefit of this is, once you start to look as a codebase as pluggable parts, you can start to design them from the start as modular pieces that are capable of being dropped in to a project with very little effort.
Consider the example above. Lets say that your client base is starting to see the merits of adding a web-front to increase sales. Just pull the web API out of the WebDealersRUs into its own repository and link it back in as a submodule. Then propagate to all of your clients that want it.
What you get is a major payoff with minimal effort.
Of course there will always be parts of every project that are client specific (branding, ect). That's why every client should have a separate repository containing their unique version of the software. But that doesn't mean that you can't pull parts out and generalize them to be reused in subsequent projects.
While I approach this issue from the macro level, it can be applied to smaller/more specific parts of the codebase. The key here is code that you wish to re-use needs to be genericized.
OOP comes into play here because: where the functionality is implemented in the core but extended in client's code you'll use a base class and inherit from it; where the functionality is expected to return a similar type of result but the implementations of that functionality may be wildly different across classes (Ie, there's no direct inheritance hierarchy) it's best to use an interface to enforce that relationship.

I know your question is general, not tied to a technology, but since you mention you actually work with .NET, I suggest you look at a new and very important technology piece that is part of .NET 4: the 'dynamic' type.
There is also a good article on CodeProject here: DynamicObjects – Duck-Typing in .NET.
It's probably worth to look at, because, if I have to implement the dynamic system you describe, I would certainly try to implement my entities based on the DynamicObject class and add custom properties and methods using the TryGetxxx methods. It also depends whether you are focused on compile time or runtime. Here is an interesting link here on SO: Dynamically adding members to a dynamic object on this subject.

Two approaches is what I feel:
1) If different clients fall on to same domain (as Manufacturing/Finance) then it's better to design objects in such a way that BaseObject should have attributes which are very common and other's which could vary in between clients as key-value pairs. On top of it, try to implement rule engine like IBM ILog(http://www-01.ibm.com/software/integration/business-rule-management/rulesnet-family/about/).
2) Predictive Model Markup Language(http://en.wikipedia.org/wiki/PMML)

Related

Service vs Controller vs Provider naming conventions

As i grow in my professional career i consider naming conventions very important. I noticed that people throw around controller, LibraryController, service, LibraryService, and provider, LibraryProvider and use them somewhat interchangeable. Is there any specific reasoning to use one vs the other?
If there are websites that have more concrete definitions that would be great.
In Java Spring, Spring Boot and also .NET you would have:
Repository: persist data in the database and perform SQL queries.
Service: contain most of the business logic
Controller: define REST endpoints, which contains as little logic as possible.
Conceptually this means that the WHAT (functional) is separated from the HOW (technical) as much as possible. The services try to stay technologically neutral. By contrast a controller only wants to define an external contract for communication. And finally the repository only wants to facilitate the access to the database.
Organizing your code in this way keeps the business logic short, clean and maintainable. Unfortunately it is not always easy to keep them separated. e.g. It is tempting to pollute or enrich your objects with meta-data in the form of decorators/annotations. (e.g. database column name and data type).
Some developers don't see harm in this and get away with it. Others keep their objects strictly separated and define multiple sets of objects.
The objects for the database are often referred to as "entities" or "models".
For a REST controller they are often referred to as DTOs which stands for data-transfer-object.
Having multiple objects means that you need Mappers to convert one type of object to another. Some frameworks can do this for you (e.g. MapStruct).
It would be easy to claim that strictness is always a good thing, but it can slow you down. It's okay to strike a balance.
In Node.js, the concepts of controllers and services are identical. However the term Repository isn't used very often. Instead, they would call that a Provider or sometimes they would just generalize Repositories as a kind of Service.
NestJS has stronger opinions about this (which can be a good thing). The naming conventions of NestJS (a Node.js framework) are strongly influenced by the naming conventions of Angular, which is of course a totally different kind of framework (front-end).
(For completeness, in Angular, a Provider is actually just something that can be injected as a dependency. Most providers are Services, but not necessarily. (It could be a Guard or even a Module. A Module would be more like a set of tools/driver or a connector.)
PS: Anyway, the usage of the term Module is a bit confusing because there also are "ES6 modules", which is a totally different thing.)
ES6 and more modern version of javascript (including typescript) are extremely powerful when it comes to (de)constructing objects. And that makes mappers unnecessary.
Having said that, most Node.js and Angular developers prefer to use typescript these days, which has more features than java or C# when it comes to defining types.
So, all these frameworks are influencing each other. And they pretty much all agree on what a Controller and a Service is. It's mostly the Repository and Provider words that have different meanings. It really is just a matter of conventions. If your framework has a convention, then stick to that. If there isn't one, then pick one yourself.
These terms can be synonymous with each other depending on context, which is why each framework or language creator is free to explicitly declare them as they see fit... think function/method/procedure or process/service, all pretty much the same thing but slight differences in different contexts.
Just going off formal English definitions:
Provider: a person or thing that provides something.
i.e. the provider does a service by controlling some process.
Service: the action of helping or doing work for someone.
i.e. the service is provided by controlling some work process.
Controller: a person or thing that directs or regulates something.
i.e. the controller directs something to provide a service.
These definitions are just listed to the explain how the developer looks at common English meanings when defining the terminology of a framework or language; it's not always one for one and the similarity in terminology actually provides the developer with a means of naming things that are very very similar but still are slightly different.
So for example, lets take AngularJS. Here the developers decided to use the term Controller to imply "HTML Controller", a Service to imply something like a "Quasi Class" since they are instantiated with the New keyword and a Provider is really a super-set of Service and Factory which is also similar. You could really program any application using any of them and really wouldn't lose anything much; though one might be a little better than another in certain context, I don't personally believe its worth the extra confusion... essentially they are all providers. The Angular people could have just defined factory, provider and service as a single term "provider" and then passed in modifiers for things like "static" and "void" like most languages and the exact same functionality could have been provided; this would have been my preference, however I've learned not to fight the conventions and terminology of the frameworks your working no matter how strongly you disagree.
Looking myself too for a more meaningful name than Provider :)
And found this useful post
Old dev here that stumbled on this. My opinion and how I’ve seen it used over the last 20 years shows that it varies by language but the Java C# crowd mostly uses them as follows.
A service handles business logic and deals with domain objects. You find services in controllers and other services.
A repository does NOT handle business logic, but instead acts like a pool of domain objects (with helper methods for finding or persisting them. Services often contain repositories. Repositories often contain a context and are responsible for mapping from infrastructure shaped data to domain shaped data if the definitions have drifted apart. Controllers also often contain repositories for crud endpoints.
A context handles infrastructure the domain owns. Most often this is a database, but context means that anything that touches this data does so through (in) this context. A context returns infrastructure shaped data. A repository often contains a context. Context directly in services is sometimes appropriate. Context in controller is a hard no.
A provider provides access to infrastructure some other app owns. Most often these are rest apis, but can also be kafka streams or rpc classes that read data from or push data to someone else. If the source of truth for some of your domain objects fields changes you will probably see a provider next to a context in your repository, and your repository handles insulating the rest of your code from that change. Providers that provide rpc functionality are often found in services. In micro services or gateways or vertical slice architecture you sometimes see providers directly in controllers.
One old guy’s opinion but I hope it helps.

ASP.NET MVC4 n-Tier Architecture: best approach

I developing a 3 tier architecture for an MVC4 webapp + EntityFramwork5.
I want to keep separete the layer, so only DAL knows that I'm using EF, for example.
Actually I have a lot of classes to manage that:
DAL
Entity POCO
Entity DataContext : DbContext
Entity Repository
BL
Entity ViewModel
Entity Service(instantiate Entity Repository)
WEB
Entity Controllers (instantiate Entity Service)
This is working but is quite hard to mantain. I was thinking to remove the Entity Repository in DAL and use directly the DataContext (if I'm not wrong, after all DbContext has been desingned to be a Repository and a Unit of Work), but that will force me to add a reference to EntityFramework.dll in my BL. Is not a big issue, but I0m not sure it is the best choice.
Any advice?
(I hope I gave enough informations, if you need more, just ask)
You can use this this and this article.
An experienced Architect does not need to go through every single step in the book to get a reasonable design done for a small web
application. Such Architects can use their experience to speed up the
process. Since I have done similar web applications before and have
understood my deliverable, I am going to take the faster approach to
get the initial part of our DMS design done. That will hopefully
assist me to shorten the length of this article.
For those who do not have experience, let me briefly mention the general steps that involved in architecturing a software below...
Understand the initial customer requirement - Ask questions and do research to further elaborate the requirement
Define the process flow of the system preferably in visual (diagram) form. I usually draw a process-flow diagram here. In my
effort, I would try to define the manual version of the system first
and then would try to convert that into the automated version while
identifying the processes and their relations. This process-flow
diagram that we draw here can be used as the medium to validate the
captured requirements with the customer too.
Identify the software development model that suite your requirements
When the requirements are fully captured and defined before the design start, you can use the 'Water-Fall' model. But when the
requirements are undefined, a variant of 'Spiral' can be used to deal
with that.
When requirements are not defined, the system gets defined while it is being designed. In such cases, you need to keep adequate spaces
in respective modules, which later expansions are expected.
Decide what architecture to be used. In my case, to design our Document Management System (DMS), I will be using a combination of
ASP.NET MVC and Multitier Architecture (Three Tier Variant).
Analyze the system and identify its modules or sub systems.
Pick one sub system at a time and further analyze it and identify all granular level requirements belonging to that part of the systems.
Recognize the data entities and define the relationships among entities (Entity Relationship Diagram or ER Diagram). That can
followed by identifying the business entities (Some business entities
directly map with the classes of your system) and define the business
process flow.
Organized your entities. This is where you normalize your database, and decide what OOP concepts and design pattern to be used
etc.
Make your design consistent. Follow the same standards across all modules and layers. This includes streamlining the concepts (as an
example, if you have used two different design patterns in two
different modules to achieve the same goal, then pick the better
approach and use that in both the places), and conventions used in the
project.
Tuning the design is the last part of the process. In order to do this, you need to have a meeting with the project team. In that
meeting you need to present your design to your team and make them ask
questions about it. Take this as an opportunity to honestly evaluate/
adjust your design.

Strategy for DLL production - VB.NET

There is plenty of documentation out there that talks about design patterns (e.g. Visitor), SOLID (Single Responsibility etc), KISS (Keep it Simple, Stupid), tiered design etc.
One thing I don't fully understand is how to decide when a new project/DLL is required when extending an application. Is there any criteria that is used?
For example, System.Windows.Forms (http://msdn.microsoft.com/en-us/library/system.windows.forms.containercontrol.aspx) is part of System.Windows.Forms.dll yet it derives from System.MarshalByRefObject, which is part of mscorlib.dll.
You're mixing up assemblies (DLLs) and namespaces.
Assemblies are the binary files which contain the implementations of classes, etc.
Namespaces are just a way to organize classes, enums, etc. into logical groups, to prevent from having every class accessible from every level, and prevent naming conflicts (eg. System.Windows.Forms.Timer and System.Threading.Timer).
System.Windows.Forms doesn't derive from System, and System doesn't live solely in mscorlib.dll. Anyone can put anything in the System namespace - even you could do it. It's just a sub-namespace of System.
There are several reasons for breaking a subset of code out into a separate assembly. A big one is re-usability. If you have some common controls or utilities, you can maintain it in its own DLL and use it across projects without copy-and-pasting of code.
Don't confuse tiers with layers. Layering your code is almost always a must. Splitting your code out into separate physical tiers, however, is something that you usually don't want to do until you actually need to (following the KISS principle).
If you layer your code properly, then when the time comes that you need to break it out into separate tiers, doing so should be a very painless process. If, however, you never layered your code properly you'll find that splitting out the tiers will be very difficult.
As a simple example, lets say you create a login form and lets say you put all the logic to gather the system information, access the database, validate the user credentials, and build the permissions, all directly into the WinForm class. The code I just described has only 1 layer and it has only 1 tier. If you then found yourself needing to create a web-based login page using ASP.NET, you would find it very difficult to reuse that existing code. With the web based login, you'd want to at the very least, separate the UI logic from the business/data access logic, but because it's all directly in the WinForm class, it's all unusable without re-factoring the code.
Now, let's say, instead of putting all that code in the form, you took the time to layer it properly. Let's say you broke out all of the code that accessed the database about put it all into data access classes. And then you put all of the business logic code put it all in business classes. At that point, the actual code in the WinForm class should be limited to doing nothing but UI related logic such as handling control events, setting labels, etc. In this second example. you still only have 1 tier, but you have three distinct and independent layers (viz. UI, Business, Data Access).
If you had already layered your code like that, then when the time came that you needed to reuse it in the web-based project, you could easily move the business and data access layers into a class library (dll) and then reuse them in the ASP.NET project for the server-side tier.
Breaking your code into separate class libraries is only typically necessary in two situations:
You need to reuse the code in multiple projects
You need to divide your project into multiple tiers
Even if you put all your code in a single project, as long as it is well-layered, it will be very easy to split the project up into multiple class libraries when such a situation arises. So the big design issue is not how many DLL's you have. Rather, the big design issue is how many layers you have. Once you have the code layered, it will be easy to move it around between different projects as necessary.
In practical terms, even when you don't need to reuse the code between projects nor support n-tiers, you may still legitimately choose to divide your layers into separate class libraries. It may make sense to do so purely for organizational purposes, or for consistency. For instance, if another developer comes behind you and sees classes in a class library called "MyCompany.Feature.Business", they can safely assume that those classes are all part of the business logic layer. In that way, breaking your code up into separate class libraries can be self-documenting.
There are other reasons too, for putting code in dlls. For instance, it makes it easy to support plug-in architectures or to make it easier to update one part of the application at a time.

Boiler plate for WCF project, versioning anticipated

I'm starting to find myself getting more and more in to using WCF for projects I implement for internal use (automating company tasks, making sure all clients are on the same page, etc.) This is largely due to the 3-10 clients I am automating at once whenever I do implement a solution, and (even if it was a small sample) the company is growing which continually adds more clients in the pool and thus a higher demand for reliability/consistency. With that said, I'm recognizing how important it is to make sure I make things expandable as (previously) pushing a release was getting harder the more clients I have depending on the service.
My latest project has a potential of being externalized. Until now I've done it the way I know works, but I'd still like to travel down the "right" path in terms of future updates. How should I be setting up my project file to make this as easy and seamless as possible to keep maintained, up-to-date and expansive? Should I be placing version numbers in to the namespace (as in Company.Interfaces.Contracts.June2011.IMyService), using pseudo folders, ...?
I just don't feel confident in this aspect of moving forward. I'd like to know that whatever ground work I have in place now won't place burdens on future expansion/customizing later. I'd also like to stick to the "development norm" as much as possible as it's getting more plausible that we'll hire additional programmers to help the work load.
Does anyone with this kind of experience have any thoughts, suggestions, guidance in this field? I would really appreciate any examples, books, documentation, etc. that you can provide.
Update (06-17-2011)
To give some insight, I'm also looking for some specific questions. These include:
How do you decorate a service class vs a DTO in terms of namespace? I've seen http://service.domain.com/ServerName/Version used on the Service class itself & http://types.domain.com/ServiceName/Version used on the DTOs. Is this common? (Separate the namespace in to a type and service collection?)
Should I be implementing IExtensibleDataObject on all my objects on the basis that they could potentially be evolved in future released? (Lay the ground work out now)
If my database has constraints on it for (e.g.) string length, I should be extending IParameterInspector and using that method for validity (keeping logic and validation separate), correct?
Should the "actual service" be broken out in to its own class so, as I version, the Service Contract classes just call the code (keeping each new version release with an minimal code as possible?) Or should I keep it within the service class and inherit from it with any new methods (likewise, what happens should you remove a method?)
I'm sorry if I have a lot of questions, I just see two ends of the spectrum in documentation. I see "Setting up wcf" then directly to "this is a versioned WCF"--no segue/steps between. I'm assuming it's going to just "click" once I get enough information, but I'm (sadly) not there yet.
tl;dr
When you start writing a WCF service that you know is going to hit several iterations, how do you setup your project(s) to make it as easy as possible in the future (on yourself and teammates)?
I have had success using a "strict" versioning policy (it seems from past experience you are heading in this direction anyway) where you simply create new endpoint/s each time a new definition is released. This means you won't have any contract backwards compatibility concerns for legacy clients - older versions can easily be turned off once logging indicates all clients have upgraded. It is generally necessary however to write bridging code for any legacy endpoint/s so they can continue to call into the modified business logic.
In terms of project organisation, I would create a new project for each version so they can easily be deployed separately. Namespaces using v1, v2 are normally works well enough. The endpoint names can also include a version number which should easily distinguish them from each other.
Alternately you could try using a "lax" versioning policy where you can have the ability to add or remove data members by implementing the IExtensibleDataObject interface in all your services. Some useful MSDN article links can be found in a popular response to a similar question: WCF client's and versioning.
Another "lax" kind of option is to move more towards a messaging solution (which WCF can support through message contracts and/or the MSMQ binding). Here podcast by SOA guru Udi Dahan that provides an interesting perspective and is definitely worth a listen - there is no IDog2.
Finally here is a good blog post with some further more fine-grained guidelines on whichever strategy you end up using:
http://wcfpro.wordpress.com/2010/12/21/wcf-versioning-guidelines-2/.

How to design a business logic layer

To be perfectly clear, I do not expect a solution to this problem. A big part of figuring this out is obviously solving the problem. However, I don't have a lot of experience with well architected n-tier applications and I don't want to end up with an unruly BLL.
At the moment of writing this, our business logic is largely a intermingled ball of twine. An intergalactic mess of dependencies with the same identical business logic being replicated more than once. My focus right now is to pull the business logic out of the thing we refer to as a data access layer, so that I can define well known events that can be subscribed to. I think I want to support an event driven/reactive programming model.
My hope is that there's certain attainable goals that tell me how to design these collection of classes in a manner well suited for business logic. If there are things that differentiate a good BLL from a bad BLL I'd like to hear more about them.
As a seasoned programmer but fairly modest architect I ask my fellow community members for advice.
Edit 1:
So the validation logic goes into the business objects, but that means that the business objects need to communicate validation error/logic back to the GUI. That get's me thinking of implementing business operations as objects rather than objects to provide a lot more metadata about the necessities of an operation. I'm not a big fan of code cloning.
Kind of a broad question. Separate your DB from your business logic (horrible term) with ORM tech (NHibernate perhaps?). That let's you stay in OO land mostly (obviously) and you can mostly ignore the DB side of things from an architectural point of view.
Moving on, I find Domain Driven Design (DDD) to be the most successful method for breaking a complex system into manageable chunks, and although it gets no respect I genuinely find UML - especially action and class diagrams - to be critically useful in understanding and communicating system design.
General advice: Interface everything, build your unit tests from the start, and learn to recognise and separate the reusable service components that can exist as subsystems. FWIW if there's a bunch of you working on this I'd also agree on and aggressively use stylecop from the get go :)
I have found some o fthe practices of Domain Driven Design to be excellent when it comes to splitting up complex business logic into more managable/testable chunks.
Have a look through the sample code from the following link:
http://dddpds.codeplex.com/
DDD focuses on your Domain layer or BLL if you like, I hope it helps.
We're just talking about this from an architecture standpoint, and what remains as the gist of it is "abstraction, abstraction, abstraction".
You could use EBC to design top-down and pass the interface definitions to the programmer teams. Using a methology like this (or any other visualisation technique) visualizing the dependencies prevents you from duplicating business logic anywhere in your project.
Hmm, I can tell you the technique we used for a rather large database-centered application. We had one class which managed the datalayer as you suggested which had suffix DL. We had a program which automatically generated this source file (which was quite convenient), though it also meant if we wanted to extend functionality, you needed to derive the class since upon regeneration of the source you'd overwrite it.
We had another file end with OBJ which simply defined the actual database row handled by the datalayer.
And last but not least, with a well-formed base class there was a file ending in BS (standing for business logic) as the only file not generated automatically defining event methods such as "New" and "Save" such that by calling the base, the default action was done. Therefore, any deviation from the norm could be handled in this file (including complete rewrites of default functionality if necessary).
You should create a single group of such files for each table and its children (or grandchildren) tables which derive from that master table. You'll also need a factory which contains the full names of all objects so that any object can be created via reflection. So to patch the program, you'd merely have to derive from the base functionality and update a line in the database so that the factory creates that object rather than the default.
Hope that helps, though I'll leave this a community wiki response so perhaps you can get some more feedback on this suggestion.
Have a look in this thread. May give you some thoughts.
How should my business logic interact with my data layer?
This guide from Microsoft could also be helpful.
Regarding "Edit 1" - I've encountered exactly that problem many times. I agree with you completely: there are multiple places where the same validation must occur.
The way I've resolved it in the past is to encapsulate the validation rules somehow. Metadata/XML, separate objects, whatever. Just make sure it's something that can be requested from the business objects, taken somewhere else and executed there. That way, you're writing the validation code once, and it can be executed by your business objects or UI objects, or possibly even by third-party consumers of your code.
There is one caveat: some validation rules are easy to encapsulate/transport; "last name is a required field" for example. However, some of your validation rules may be too complex and involve far too many objects to be easily encapsulated or described in metadata: "user can include that coupon only if they aren't an employee, and the order is placed on labor day weekend, and they have between 2 and 5 items of this particular type in their cart, unless they also have these other items in their cart, but only if the color is one of our 'premiere sale' colors, except blah blah blah...." - you know how business 'logic' is! ;)
In those cases, I usually just accept the fact that there will be some additional validation done only at the business layer, and ensure there's a way for those errors to be propagated back to the UI layer when they occur (you're going to need that communication channel anyway, to report back persistence-layer errors anyway).