¿Cómo se puede implementar un analizador en un compilador?

It is not straightforward what characters should constitute a token, it really depends on the coding style as well. For example CamelCase and snake_case are totally different, thus you should firat examine the used practices in the code and then apply parsing.

Lexical analysis, often referred to as scanning or tokenization, is the first phase in the process of compiling or interpreting a programming language. It involves breaking down the source code into a sequence of lexemes or tokens, which are the smallest units with syntactic meaning in a programming language.

Syntax analysis, also known as parsing, is the second phase in the compilation process of programming languages. It follows lexical analysis and involves analyzing the structure of the source code according to the grammar rules of the programming language. The primary goal of syntax analysis is to ensure that the code adheres to the correct syntactic structure specified by the language's grammar. Some programming language grammars may introduce ambiguity, where a sequence of tokens can be interpreted in multiple ways. The parser needs to resolve such ambiguities based on predefined rules or through additional information provided by the language specification.

Semantic analysis is the third phase in the compilation process of programming languages, following lexical analysis and syntax analysis. Its primary objective is to ensure that the code adheres to the intended meaning or semantics of the programming language. While syntax analysis checks for correct language structure, semantic analysis focuses on the correctness of the program's meaning. One of the fundamental tasks of semantic analysis is type checking. It involves ensuring that operations and expressions in the code are applied to compatible data types. For example, attempting to add a string to an integer may result in a type error.

Parser generators are tools that automate the generation of parsers for programming languages or other formal grammars. These tools take a formal grammar specification as input and produce a parser code in a programming language such as C, C++, Java, or Python. Using parser generators simplifies the process of building parsers for complex languages, and it is often more efficient than writing a parser by hand.

Parser testing is a critical aspect of the software development process, particularly when working with parsers that interpret and analyze the structure of a programming language or data format. The primary goal of parser testing is to ensure that the parser accurately and efficiently processes input according to the specified grammar rules. Implement a suite of regression tests to ensure that changes or updates to the parser do not introduce new bugs or regressions. This involves running previously successful tests after each code modification.