OOP is dead and alive

Discussing Programming topics with non-programmers

The other day I was in good company with a business owner, who is also a programmer, and a business controller, who isn’t a programmer. We were discussing the issues of one of my favorite topics: Software Quality.

Naturally the software must do what it is intended to do, but the hidden issue, which to me is almost as important: Functionality must be placed in the right areas.

The analogy became looking for $10 in a persons wallet.

To the programmer getting this task, the basic work: Find person, find persons wallet, check if wallet contains $10. Has to be done regardless of where the functionality is applied. To the CPU the steps will be loaded in sequence anyway thus the “correct” position of the code is another matter.

Now, in real life, if I ask someone if they have $10 in their wallet, they are able to check their own wallet and inform me. On the other hand, I could just take their wallet and check myself. Naturally this would be a violation of privacy - and I’d have to know where they keep their wallets.

In the same sense, a controller could implement the functionality required leading to promiscuous objects being violated. Or the objects themselves could have the functionality implemented. The first leads to violation of Law of Demeter, tight coupling, and too much knowledge, which in turn leads to higher risk of introducing bugs, higher maintenance cost, intricate dependencies, and a big ball of mud.

Controller {


Controller {
Person {
 hasAmount(Integer amount){
  return myWallet.hasAmount(amount)

The example is a bit far fetched, but it served the purpose of why it is important to have clean code in more than one sense.

The first snippet the Controller will have to know of Person and Wallet. In the latter Controller needs to know of Person, and Person needs to know of Wallet. Even though there are the same amount of dependencies, the context for the Controller is much higher in the first snippet.

OOP is dead

A while ago Pinterest suggested I read Object Oriented Programming is Dead which is a bit dated, nevertheless it is still relevant. I just think that there are more reasons why OOP is dead - and yet still alive.

First off, we killed OOP by trying to fit a relational database as the persistence layer - this leads to data transfer objects, which are mostly grouped global variables or Java beans, which has nothing to do with encapsulation.

Second, we killed OOP by placing logic in the wrong classes, classes in the wrong hierarchy, and generally forgetting what OOP is about.

Third blow, we apparently insist on imperative styled programming for an OOP, which leads to the issues described above.

Fourth stab, we seem to be grounded in the snapshot state of databases. That is, an object in a database has a single state, without any prior history. This is similar to register loading, and overwriting, and is prevalent in the Update keyword. You actually have to twist, turn, and contort the default behavior of an RDBMS to get a history/audit trail for the values.

The final death blow was delivered by Martin Odersky - who also kindly revived OOP in junction with FP - in his presentation Object and functions, conflict without a cause. Well he has done so on other occasions touting the Scala horn.

Rich Hickey - the Clojure guy - seems to at least backup the FP and OOP notion - primarily of stateless objects, and Datomic seems like a brilliant choice for a persistence layer.

OOP is alive

The Object Oriented notion is extremely important as it is what should drive SOA services. They should be defined by their interfaces and encapsulate data and implementations. As Steve Yegge mentioned Amazon is quite good at, and Google not quite as good.

I believe SOA is the right level of re-usability of software, and we will have to get much better at it as more and more mash-ups are wanted. That means we have to accept interoperability at a different level, keep disciplined and not query database tables which we know of, but really belongs to another service.

We also have to embrace the functional style - I’m talking REST for web developers - in which objects are immutable/stateless, and transformations can be predictably run whether in parallel or sequence, synchronous or asynchronous to the client.

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