Abstract syntax tree
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In computer science, an abstract syntax tree (AST), or just syntax tree, is a tree representation of the abstract syntactic structure of source code written in a programming language. Each node of the tree denotes a construct occurring in the source code.
The syntax is "abstract" in the sense that it does not represent every detail appearing in the real syntax, but rather just the structural or content-related details. For instance, grouping parentheses are implicit in the tree structure, so these do not have to be represented as separate nodes. Likewise, a syntactic construct like an if-condition-then expression may be denoted by means of a single node with three branches.
This distinguishes abstract syntax trees from concrete syntax trees, traditionally designated parse trees. Parse trees are typically built by a parser during the source code translation and compiling process. Once built, additional information is added to the AST by means of subsequent processing, e.g., contextual analysis.
Application in compilers
Abstract syntax trees are data structures widely used in compilers to represent the structure of program code. An AST is usually the result of the syntax analysis phase of a compiler. It often serves as an intermediate representation of the program through several stages that the compiler requires, and has a strong impact on the final output of the compiler.
An AST has several properties that aid the further steps of the compilation process:
- An AST can be edited and enhanced with information such as properties and annotations for every element it contains. Such editing and annotation is impossible with the source code of a program, since it would imply changing it.
- Compared to the source code, an AST does not include inessential punctuation and delimiters (braces, semicolons, parentheses, etc.).
- An AST usually contains extra information about the program, due to the consecutive stages of analysis by the compiler. For example, it may store the position of each element in the source code, allowing the compiler to print useful error messages.
ASTs are needed because of the inherent nature of programming languages and their documentation. Languages are often ambiguous by nature. In order to avoid this ambiguity, programming languages are often specified as a context-free grammar (CFG). However, there are often aspects of programming languages that a CFG can't express, but are part of the language and are documented in its specification. These are details that require a context to determine their validity and behaviour. For example, if a language allows new types to be declared, a CFG cannot predict the names of such types nor the way in which they should be used. Even if a language has a predefined set of types, enforcing proper usage usually requires some context. Another example is duck typing, where the type of an element can change depending on context. Operator overloading is yet another case where correct usage and final function are determined based on the context. Java provides an excellent example, where the '+' operator is both numerical addition and concatenation of strings.
Although there are other data structures involved in the inner workings of a compiler, the AST performs a unique function. During the first stage, the syntax analysis stage, a compiler produces a parse tree. This parse tree can be used to perform almost all functions of a compiler by means of syntax-directed translation. Although this method can lead to a more efficient compiler, it goes against the software engineering principles of writing and maintaining programs. Another advantage that the AST has over a parse tree is the size, particularly the smaller height of the AST and the smaller number of elements.
The design of an AST is often closely linked with the design of a compiler and its expected features.
Core requirements include the following:
- Variable types must be preserved, as well as the location of each declaration in source code.
- The order of executable statements must be explicitly represented and well defined.
- Left and right components of binary operations must be stored and correctly identified.
- Identifiers and their assigned values must be stored for assignment statements.
These requirements can be used to design the data structure for the AST.
Some operations will always require two elements, such as the two terms for addition. However, some language constructs require an arbitrarily large number of children, such as argument lists passed to programs from the command shell. As a result, an AST used to represent code written in such a language has to also be flexible enough to allow for quick addition of an unknown quantity of children.
To support compiler verification it should be possible to unparse an AST into source code form. The source code produced should be sufficiently similar to the original in appearance and identical in execution, upon recompilation.
The AST is used intensively during semantic analysis, where the compiler checks for correct usage of the elements of the program and the language. The compiler also generates symbol tables based on the AST during semantic analysis. A complete traversal of the tree allows verification of the correctness of the program.
After verifying correctness, the AST serves as the base for code generation. The AST is often used to generate an intermediate representation (IR), sometimes called an intermediate language, for the code generation.
- Abstract semantic graph (ASG), also called term graph
- Composite pattern
- Control flow graph
- Directed acyclic graph (DAG)
- Document Object Model (DOM)
- Expression tree
- Extended Backus–Naur Form
- Lisp, a family of languages written in trees, with macros to manipulate code trees
- Parse tree, also known as concrete syntax tree
- Semantic resolution tree (SRT)
- Shunting yard algorithm
- Symbol table
- Jones, Joel. "Abstract Syntax Tree Implementation Idioms" (PDF). Cite journal requires
|journal=(help) (overview of AST implementation in various language families)
- Neamtiu, Iulian; Foster, Jeffrey S.; Hicks, Michael (May 17, 2005). Understanding Source Code Evolution Using Abstract Syntax Tree Matching. MSR'05. Saint Louis, Missouri: ACM. CiteSeerX 10.1.1.88.5815.
- Baxter, Ira D.; Yahin, Andrew; Moura, Leonardo; Sant' Anna, Marcelo; Bier, Lorraine (November 16–19, 1998). Clone Detection Using Abstract Syntax Trees (PDF). Proceedings of ICSM'98. Bethesda, Maryland: IEEE.
- Fluri, Beat; Würsch, Michael; Pinzger, Martin; Gall, Harald C. "Change Distilling: Tree Differencing for Fine-Grained Source Code Change Extraction" (PDF). Cite journal requires
|journal=(help) (direct link to PDF)
- Würsch, Michael. Improving Abstract Syntax Tree based Source Code Change Detection (Diploma thesis).
- Falleri, Jean-Rémy; Morandat, Floréal; Blanc, Xavier; Martinez, Matias; Monperrus, Martin. Fine-grained and Accurate Source Code Differencing (PDF). Proceedings of ASE 2014. doi:10.1145/2642937.2642982.
- Lucas, Jason. "Thoughts on the Visual C++ Abstract Syntax Tree (AST)".
|Wikimedia Commons has media related to Abstract syntax trees.|
- AST View: an Eclipse plugin to visualize a Java abstract syntax tree
- "Abstract Syntax Tree and Java Code Manipulation in the Eclipse IDE". eclipse.org.
- "CAST representation". cs.utah.edu.
- eli project: Abstract Syntax Tree Unparsing
- "Abstract Syntax Tree Metamodel Standard" (PDF).
- "Architecture‑Driven Modernization — ADM: Abstract Syntax Tree Metamodeling — ASTM". (OMG standard).
- JavaParser: The JavaParser library provides you with an Abstract Syntax Tree of your Java code. The AST structure then allows you to work with your Java code in an easy programmatic way.
- Spoon: A library to analyze, transform, rewrite, and transpile Java source code. It parses source files to build a well-designed AST with powerful analysis and transformation API.