By Martin Fowler
While rigorously chosen and used, Domain-Specific Languages (DSLs) could simplify advanced code, advertise powerful conversation with shoppers, enhance productiveness, and unclog improvement bottlenecks. In Domain-Specific Languages, famous software program improvement specialist Martin Fowler first offers the data software program execs have to make a decision if and while to make use of DSLs. Then, the place DSLs end up compatible, Fowler provides powerful ideas for construction them, and courses software program engineers in selecting the right methods for his or her functions.
This book’s recommendations should be applied with newest object-oriented languages; the writer offers a number of examples in Java and C#, in addition to chosen examples in Ruby. anywhere attainable, chapters are prepared to be self-standing, and such a lot reference issues are offered in a well-known styles layout.
Armed with this wide-ranging e-book, builders could have the data they should make vital judgements approximately DSLs—and, the place acceptable, achieve the numerous technical and company merits they give.
The themes lined include:
• How DSLs examine to frameworks and libraries, and while these possible choices are sufficient
• utilizing parsers and parser turbines, and parsing exterior DSLs
• knowing, evaluating, and selecting DSL language constructs
• settling on no matter if to take advantage of code new release, and evaluating code iteration strategies
• Previewing new language workbench instruments for developing DSLs
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Additional info for Domain-Specific Languages (Addison-Wesley Signature Series)
A consequence of this is that DSLs tend to follow libraries, and indeed I consider a Semantic Model to be a necessary adjunct to a well-built DSL. When people talk about DSLs, it's easy to think that building the DSL is the hard work. In fact, usually the hard work is building the model; the DSL then just layers on top of it. It still takes effort to get a DSL that works well, but that effort is usually much smaller than for building the underlying model. Boundaries of DSLs As I said, DSLs are a concept with blurry boundaries.
Even if you don't have DSLs, you will typically have many abstractions in your codebase that you need to understand. Usually, these abstractions are captured by libraries in order to make them tractable. Even if you don't have to learn several DSLs, you still have to learn several libraries. So the true learning cost question is how much harder it is to learn a DSL than to learn the underlying model on its own. I'd argue that the incremental cost of learning the DSL is quite small compared to the cost of understanding the model.
For this book, however, I think a definition is valuable. Domain-specific language (noun): a computer programming language of limited expressiveness focused on a particular domain. There are four key elements to this definition: Computer programming language: A DSL is used by humans to instruct a computer to do something. As with any modern programming language, its structure is designed to make it easy for humans to understand, but it should still be something executable by a computer. Language nature: A DSL is a programming language, and as such should have a sense of fluency where the expressiveness comes not just from individual expressions but also from the way they can by composed together.
Domain-Specific Languages (Addison-Wesley Signature Series) by Martin Fowler