Why Generation of intermediate code based on an abstract machine model...
Intermediate code generation based on an abstract machine model in compilers
Intermediate code generation is an essential step in the compilation process. It involves translating the source code into an intermediate representation that can be easily understood and processed by the subsequent stages of the compiler. Generating intermediate code based on an abstract machine model offers several advantages:
Simplifies implementation of lexical analysis and syntax analysis
One of the primary benefits of generating intermediate code based on an abstract machine model is that it simplifies the implementation of lexical analysis and syntax analysis. The abstract machine model provides a high-level representation of the source code, which allows the compiler to focus on the logical structure of the program rather than the intricacies of the target machine architecture. This simplification makes it easier to design and implement the lexical and syntax analyzers, as they can be built around the abstract machine model.
Enables portability of the front end of the compiler
Another advantage of generating intermediate code based on an abstract machine model is that it enables portability of the front end of the compiler. The abstract machine model serves as an intermediate representation that is independent of the target machine architecture. This means that the front end of the compiler, which includes lexical analysis, syntax analysis, and semantic analysis, can be implemented once and used with different back ends for different target machines. This portability allows the compiler to support multiple target platforms without having to rewrite or modify the front end.
Facilitates writing for intermediate code generation
Generating intermediate code based on an abstract machine model also facilitates the process of writing the code generator itself. The abstract machine model provides a clear and structured representation of the source code, making it easier to generate efficient and optimized intermediate code. The code generator can leverage the abstract machine model to perform various optimizations and transformations, such as register allocation, instruction scheduling, and code reordering. This simplifies the task of writing the code generator and helps generate high-quality intermediate code.
Therefore, the correct answer is option 'C': Implementation of lexical analysis and syntax analysis is made easier.