P-Patterns!

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-Some stuff that I came up with.+== P-Patterns ==
-== Golden Bridge ==+Some design patterns I came up with.
-Utilizing the Bridge pattern in order to separate model from application-specific behaviors.+== Smart Button ==
-== X class ==+Suppose you bought a futuristic DVD player - a slick black box with a single tiny hole for the microphone. It does amazing job of recognizing voice commands. To open the drive bay you would say 'Open the drive'. To pause, you would say 'Do pause', and so on. You liked it in the beginning, but unfortunately, you have to always consult the product manual, because you have to memorize exact commands. For example, one day you might say 'Pause' instead of 'Do pause', and it wouldn't react. Finally, you start wanting a more traditional interface - the one with the buttons, so to operate it you wouldn't have to remember commands. With several buttons, you have complete control over the device and do not have to consult the manual!
-Divide model classes into pure and application-specific classes, in the model, use only pure classes, but in application, instantiate only application-specific classes.+The design pattern is:
-== Smart Button ==+ Expose a generic object in the interface in order to simplify class use.
-Expose a generic object in the interface in order to simplify class use.+This is the case for exposing an object in the interface. I know that there is opposition for doing so, and even a law ([http://www.ccs.neu.edu/home/lieber/LoD.html Law of Demeter]). However, I choose to say that exposing an object that belongs to a generic, well-known class (in the above case, a button) in the interface provides for simpler, more intuitive designs. Compare this to hiding everything under a monolith interface with a laundry list of methods.
-I bought a DVD player which was a black box with a tiny hole of a microphone. It did an amazing thing of being able to hear voice commands and execute them. For example, to open drive bay I would say 'Open drive'. To make a pause, I would say 'Do pause' and so on. I like it in the beginning but there was one thing. I had to always consult with a manual because I kept forgetting commands. For example, I would say 'Make pause' instead of 'Do pause', and it wouldn't understand. Finally, I started missing my old DCD player. It had buttons as an interface. In order to turn it on, I didn't have to recall a command, but simply knew to press the Power button. In the end, I took the DVD player back to store and exchanged it to a conventional one. With a several buttons, I had complete control and no need to keep a page with commands printout in a condensed typeface, wrapped in a transluscent sleeve.+Not being entirely opposed to the Law of Demeter, however I often felt that it stems from assumption that we couldn't fully control an object after exposing it in the interface. While it is true in some OO languages, there are designs and approaches that provide for such control ([[Overriding_in_Owner_Class |Example]]). In the presence of such mechanisms, the Law of Demeter may be less crucial.
-This is my case for exposing an object in interface. I know that there is some opposition for doing so, and even a law (Demeter's law).+On the other hand, I'm definetely not advocating for breaking encapsulation and exposing inner objects in class interface. In our example with a DVD player, it only would make sense to expose some objects (buttons, indicators) while keeping others - the one that really do the job - encapsulated. Therefore, more precisely, we want to only expose very generic objects providing for intuitive control, while keeping implementation-specific parts still hidden inside the class.
== Postponed Validation == == Postponed Validation ==
-Postponing validation until checkpoint/commit so that validations do not hinder performance.+Let's say we have a setProperty() method which changes the value of an object field. One typically validates method arguments within in the body of the method; and sometimes you need more extensive validations. Extra validations may be taxing on performance, especially when the method is called multiple times. In the Postponed Validation pattern, you perform extra validations in the time of a commit. If a validation rule is broken, perform a rollback. Postponing validations until commit lets you ensure data integrity while maintaining high performance.
 + 
 + Postpone object validation until a checkpoint/commit, so that validations do not hinder performance.
 + 
 +One way to implement postponed validation is '''Detached Validation'''. Create a flag in your class to switch validations on and off, and perform a full validation each time the flag is turned on. While in the 'detached' state (flag is off), skip validations thus improving performance. Enforce each object to be back to its non-detached (flag on) state before a commit/checkpoint.
 + 
 +== Static resolution ==
 + 
 +Hide a class behind a static interface to cut on code verbosity and improve readability. As an alternative to creating a Singleton and retrieving it through getInstance() method, create an extra class that implements same interface through static methods, and provide one instance of your Singleton as a work horse for that class. The client code which looked like
 + 
 + Logging logging = Logging.getInstance();
 + logging.error("my message");
 + 
 +becomes this:
 + 
 + Log.error("my message");
 + 
 +where Log is a static interface now serving as a facade for the Logging class. Bonus: you get a better English capitalization this way!
 + 
 +== Pure Business Objects ==
-Pascal example.+Divide model classes into pure business objects and their application-specific implementations related through inheritance. In the client code, only deal with pure business object classes. In instantiating/factory/injection code, only instantiate their application-specific implementations. Utilize Bridge design pattern to decouple inheritance graphs of the two hierarchies, thus separating the model from application-specific behavior.

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P-Patterns

Some design patterns I came up with.

Smart Button

Suppose you bought a futuristic DVD player - a slick black box with a single tiny hole for the microphone. It does amazing job of recognizing voice commands. To open the drive bay you would say 'Open the drive'. To pause, you would say 'Do pause', and so on. You liked it in the beginning, but unfortunately, you have to always consult the product manual, because you have to memorize exact commands. For example, one day you might say 'Pause' instead of 'Do pause', and it wouldn't react. Finally, you start wanting a more traditional interface - the one with the buttons, so to operate it you wouldn't have to remember commands. With several buttons, you have complete control over the device and do not have to consult the manual!

The design pattern is:

Expose a generic object in the interface in order to simplify class use.

This is the case for exposing an object in the interface. I know that there is opposition for doing so, and even a law (Law of Demeter). However, I choose to say that exposing an object that belongs to a generic, well-known class (in the above case, a button) in the interface provides for simpler, more intuitive designs. Compare this to hiding everything under a monolith interface with a laundry list of methods.

Not being entirely opposed to the Law of Demeter, however I often felt that it stems from assumption that we couldn't fully control an object after exposing it in the interface. While it is true in some OO languages, there are designs and approaches that provide for such control (Example). In the presence of such mechanisms, the Law of Demeter may be less crucial.

On the other hand, I'm definetely not advocating for breaking encapsulation and exposing inner objects in class interface. In our example with a DVD player, it only would make sense to expose some objects (buttons, indicators) while keeping others - the one that really do the job - encapsulated. Therefore, more precisely, we want to only expose very generic objects providing for intuitive control, while keeping implementation-specific parts still hidden inside the class.

Postponed Validation

Let's say we have a setProperty() method which changes the value of an object field. One typically validates method arguments within in the body of the method; and sometimes you need more extensive validations. Extra validations may be taxing on performance, especially when the method is called multiple times. In the Postponed Validation pattern, you perform extra validations in the time of a commit. If a validation rule is broken, perform a rollback. Postponing validations until commit lets you ensure data integrity while maintaining high performance.

Postpone object validation until a checkpoint/commit, so that validations do not hinder performance.

One way to implement postponed validation is Detached Validation. Create a flag in your class to switch validations on and off, and perform a full validation each time the flag is turned on. While in the 'detached' state (flag is off), skip validations thus improving performance. Enforce each object to be back to its non-detached (flag on) state before a commit/checkpoint.

Static resolution

Hide a class behind a static interface to cut on code verbosity and improve readability. As an alternative to creating a Singleton and retrieving it through getInstance() method, create an extra class that implements same interface through static methods, and provide one instance of your Singleton as a work horse for that class. The client code which looked like

Logging logging = Logging.getInstance();
logging.error("my message");

becomes this:

Log.error("my message");

where Log is a static interface now serving as a facade for the Logging class. Bonus: you get a better English capitalization this way!

Pure Business Objects

Divide model classes into pure business objects and their application-specific implementations related through inheritance. In the client code, only deal with pure business object classes. In instantiating/factory/injection code, only instantiate their application-specific implementations. Utilize Bridge design pattern to decouple inheritance graphs of the two hierarchies, thus separating the model from application-specific behavior.