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Introduction Today I thought I'd talk about a neat design pattern that doesn't seem to get much love: In its fullest form it's also sometimes called the Prototype Pattern. People use this pattern all over the place, and I'll give you a nice set of real-life examples in a little bit.
It's a design pattern that's useful in every programming language, and as we'll see shortly, it's also pretty darn useful as a general-purpose persistence strategy. But even though this pattern is near-universal, people don't talk about it very often.
I think this is because while it's remarkably flexible and adaptable, the Properties Pattern has a reputation for not being "real" design or "real" modeling. In fact it's often viewed as a something of a shameful cheat, particularly by overly-zealous proponents of object-oriented design in language domains or relational design in database domains.
I hope to offer a different and richer perspective here. With luck, this article might even help begin the process making the Properties Pattern somewhat fashionable again. Three Great Schools of Software Modeling Before I tell you anything else about the Properties Pattern, let's review some of the most popular techniques we programmers have for modeling problems.
I should point out that none of these techniques is tied to "static typing" or "dynamic typing" per se. Each of these modeling techniques can be used with or without static checking. The modeling problem is orthogonal to static typing, so regardless of your feelings about static checking, you should recognize the intrinsic value in each of these techniques.
Class Modeling You know all about this one. Class-based OO design is the pound gorilla of domain modeling these days. Its appeal is that it's a natural match for the way we already model things in everyday life.
It can take a little practice at first, but for most people class modeling quickly becomes second nature. Although the industry loves OO design, it's not especially well liked as an academic topic. This is because OO design has no real mathematical foundation to support it — at least, not until someone comes along and creates a formal model for side effects.
The concepts of OOP stem not from mathematics but from fuzzy intuition. This in some sense explains its popularity, and it also explains why OOP has so many subtly different flavors in practice: Industry folks can never quite agree on what OOP is, but we love it all the same.
Relational Modeling Relational database modeling is a bit harder and takes more practice, because its strength stems from its mathematical foundation. Relational modeling can be intuitive, depending on the problem domain, but most people would agree that it is not necessarily so: Object modeling and relational modeling produce very different designs, each with its strengths and weaknesses, and one of the trickiest problems we face in our industry has always been the object-relational mapping ORM problem.
It's a big deal. Some people may have let you to believe that it's simple, or that it's automatically handled by frameworks such as Rails or Hibernate. Those who know better know just how hard ORM is in real-world production schemas and systems.
Usually XML is used to model data, but it can also be used to model code. In many domains, programmers will decide on an XML representation before they've thought much about the class model, because for those domains XML actually offers the most convenient way of thinking about the problem.
I mention this not to start a fight, but only to illustrate that XML is a third modeling technique in its own right. It has both natural resonances and surfaces of friction with both relational design and OO design, as one might expect. Other schools I'm not claiming that these three modeling schools are the only schools out there — far from it!
Shaping the stories that rule our economy. The economy we want to build must recognize increasing the value to and for humans as the goal. Type or paste a DOI name into the text box. Click Go. Your browser will take you to a Web page (URL) associated with that DOI name. Send questions or comments to doi. In the early days of Java (before the HotSpot VM was implemented in Java in ) there were many criticisms of performance. Java has been demonstrated to run at a speed comparable with optimised native code, and modern JVM implementations are regularly benchmarked as one of the fastest language platforms available—typically within a factor of 3 relative to C and C++.
Two other obvious candidates are Functional modeling in the sense of Functional Programming, with roots in the lambda calculus and Prolog-style logical modeling. Both are mature problem-modeling strategies, each with its pros and cons, and each having varying degrees of overlap with other strategies.
And there are still other schools, perhaps dozens of them. The important takeaway is that none of these modeling schools is "better" than its peers. Each one can model essentially any problem. There are tradeoffs involved with each school, by definition — otherwise all but one would have disappeared by now.Magic Ink Information Software and the Graphical Interface by Bret Victor.
An article about Lisp programming language. Introduction. When I first stumbled into Lisp advocacy on various corners of the web I was already an experienced programmer. Oct 20, · This idea that there is generality in the specific is of far-reaching importance.
— Douglas Hofstadter, Gödel, Escher, Bach. Fantastic post Stephen. Would love to teach yor language to a great number of kids. Unfortunately, the ones i have all use iPads and on that platform the browser version doesn’t work – mainly the text input with the Apple keyboard cover for the new iPads.
Read on to know the 10 major differences between C and JAVA. In the early days of Java (before the HotSpot VM was implemented in Java in ) there were many criticisms of performance. Java has been demonstrated to run at a speed comparable with optimised native code, and modern JVM implementations are regularly benchmarked as one of the fastest language platforms available—typically within a factor of 3 relative to C .