We want to analyze a programming language that is not supported by Moose yet, but we do not know how to start? This is a page that you definitely should read. We present the most important aspect that one must not forgot when it comes to support a new language (or other).
What do you want?
The first question you should asked yourself is, what do you want to analyze?
Depending on the subject, we will not contribute in the same way. For instance, analyzing Java code is not the same as analyzing Swing Application, or analyzing how developers work with Java. And when thinking about analyzing Java code, you might want to understand how classes interact with each other, or how modules you conceived interact with each others.
A basic process when dealing with model
Tool suite to deal with a new language
AST parser
The AST parser is one of the mandatory tool. If you wanna analyze something that is a not a programming language, such as a Git project for example, you need to find the API. It can looks like a web API (rest for example), or a library call API.
First, consider using an existing parser instead of creating a new one.
For instance, in Java we use JDT, for the C programming language CDT of eclipse, and for TypeScript ts-morph.
Also, the more challenging part is the symbolic resolution of the code.
You should look for AST parser that have this feature enabled.
If you have no AST Parser existing, you can use a parser generator inside Pharo. We advice you two options:
- SmaCC if you have an existing grammar
- PetitParser2 in other cases
High level importer
Once you have your AST parser, you can create a High level importer. This step should be performed at the same time as Creating a meta-model one. It consists on:
- generating the model you want in a Moose accepted file format.
- Or, if you work within Pharo, creating the model directly using Pharo code.
In the first case, you have two options:
- you can create entities and export to the file format. This is the common way to work and would allow fast analysis.
- Or, you can implement Fame, the meta-meta-model used in Moose. Then, this meta-meta-model can be used to create generic code that would generate meta-model in your programming language, or generate easily model in the Moose file format. For instance, one can found Fame implementation for Java and Pharo.
Creating a meta-model
To create a meta-model in Moose, we first advice you to draw it on some piece of paper or tables! It is an common advice, it is important for us to remind you that!
Also, remember, you first want to represent the entities you will use for your analysis.
To create the meta-model in pharo, you should look at the full documentation. If it is your first meta-model, you can look for the Coaster Meta-model tutorial. Finally, use the UMLDocumentor to see your meta-model.