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Abstract syntax tree

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97: 32: 310:(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 386:
AST differencing, or for short tree differencing, consists of computing the list of differences between two ASTs. This list of differences is typically called an edit script. The edit script directly refers to the AST of the code. For instance, an edit action may result in the addition of a new AST
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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
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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
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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
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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 statement may be denoted by means of a single node with three branches.
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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
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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.
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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
737:: 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. 743:: 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. 369:
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
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based on the AST during semantic analysis. A complete traversal of the tree allows verification of the correctness of the program.
1023: 992: 997: 645: 444: 362:, where the compiler checks for correct usage of the elements of the program and the language. The compiler also generates 359: 240: 711: 1002: 671: 449: 96: 940: 842: 1028: 44: 837: 809: 667: 464: 54: 48: 40: 678: 945: 888: 847: 728: 485: 470: 408: 619: 602: 427: 251: 65: 749:: A website to help visualize ASTs in several popular languages such as Go, Python, Java, and JavaScript. 634: 294:, an AST does not include inessential punctuation and delimiters (braces, semicolons, parentheses, etc.). 239:
process. Once built, additional information is added to the AST by means of subsequent processing, e.g.,
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The design of an AST is often closely linked with the design of a compiler and its expected features.
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This distinguishes abstract syntax trees from concrete syntax trees, traditionally designated
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Variable types must be preserved, as well as the location of each declaration in source code.
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by nature. In order to avoid this ambiguity, programming languages are often specified as a
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Left and right components of binary operations must be stored and correctly identified.
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An AST has several properties that aid the further steps of the compilation process:
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The order of executable statements must be explicitly represented and well defined.
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is yet another case where correct usage and final function are context-dependent.
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to represent the structure of program code. An AST is usually the result of the
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Identifiers and their assigned values must be stored for assignment statements.
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These requirements can be used to design the data structure for the AST.
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Understanding Source Code Evolution Using Abstract Syntax Tree Matching
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Tree representation of the abstract syntactic structure of source code
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Neamtiu, Iulian; Foster, Jeffrey S.; Hicks, Michael (May 17, 2005).
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Fluri, Beat; Wursch, Michael; PInzger, Martin; Gall, Harald (2007).
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Improving Abstract Syntax Tree based Source Code Change Detection
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to represent the structure of a program or code snippet. It is a
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Koschke, Rainer; Falke, Raimar; Frenzel, Pierre (2006).
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An abstract syntax tree for the following code for the
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2006 13th Working Conference on Reverse Engineering
395:An AST is a powerful abstraction to perform code 53:but its sources remain unclear because it lacks 768: 8: 603:"Abstract Syntax Tree Implementation Idioms" 775: 761: 753: 712:"Abstract Syntax Tree Metamodel Standard" 623: 511:IEEE Transactions on Software Engineering 329:Core requirements include the following: 84:Learn how and when to remove this message 95: 497: 246:Abstract syntax trees are also used in 235:during the source code translation and 231:. Parse trees are typically built by a 19:For the trees used in linguistics, see 618:. MSR'05. Saint Louis, Missouri: ACM. 7: 14: 486:Abstract Syntax Tree Interpreters 993:History of compiler construction 30: 998:Comparison of parser generators 644:Lucas, Jason (16 August 2006). 387:node representing a function. 192:) is a data structure used in 1: 1003:Operator-precedence grammar 373:, for the code generation. 1045: 560:. IEEE. pp. 253–262. 262:Abstract syntax trees are 18: 445:Extended Backus–Naur form 204:structure of text (often 465:Semantic resolution tree 258:Application in compilers 105: 39:This article includes a 1024:Trees (data structures) 946:Definite clause grammar 704:: Abstract Syntax Tree 471:Shunting-yard algorithm 409:Abstract semantic graph 68:more precise citations. 523:10.1109/tse.2007.70731 428:Directed acyclic graph 252:program transformation 200:representation of the 181: 951:Deterministic parsing 691:"CAST representation" 434:Document Object Model 371:intermediate language 99: 674:abstract syntax tree 566:10.1109/wcre.2006.18 460:concrete syntax tree 316:Operator overloading 308:context-free grammar 302:Languages are often 186:abstract syntax tree 988:Scannerless parsing 956:Dynamic programming 411:(ASG), also called 241:contextual analysis 102:Euclidean algorithm 784:Parsing algorithms 423:Control-flow graph 202:abstract syntactic 182: 41:list of references 1011: 1010: 810:Recursive descent 639:(Diploma thesis). 633:WĂĽrsch, Michael. 418:Composite pattern 360:semantic analysis 94: 93: 86: 1036: 1029:Formal languages 966:Parser generator 889:Recursive ascent 777: 770: 763: 754: 726: 718: 716: 698: 686: 649: 640: 629: 627: 609: 607: 588: 587: 549: 543: 542: 502: 458:, also known as 382:AST differencing 290:Compared to the 248:program analysis 194:computer science 178: 175: 172: 169: 166: 163: 160: 157: 154: 151: 148: 145: 142: 139: 136: 133: 130: 127: 124: 121: 118: 115: 112: 109: 89: 82: 78: 75: 69: 64:this article by 55:inline citations 34: 33: 26: 1044: 1043: 1039: 1038: 1037: 1035: 1034: 1033: 1014: 1013: 1012: 1007: 929: 898: 821: 786: 781: 721: 714: 710: 689: 677: 656: 643: 632: 613: 605: 600: 597: 595:Further reading 592: 591: 576: 551: 550: 546: 517:(11): 725–743. 504: 503: 499: 494: 440:Expression tree 405: 397:clone detection 393: 391:Clone detection 384: 379: 324: 280: 272:syntax analysis 266:widely used in 264:data structures 260: 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tree 206:source code 66:introducing 1018:Categories 978:Parse tree 910:Combinator 867:Look-ahead 735:JavaParser 731:standard). 666:plugin to 492:References 456:Parse tree 413:term graph 278:Motivation 21:parse tree 872:Canonical 827:Bottom-up 706:Unparsing 668:visualize 620:CiteSeerX 531:0098-5589 304:ambiguous 298:messages. 268:compilers 254:systems. 237:compiling 843:Operator 792:Top-down 660:AST View 539:13659557 403:See also 664:Eclipse 584:6985484 62:improve 862:Simple 838:Simple 800:Earley 622:  582:  572:  537:  529:  481:TreeDL 322:Design 233:parser 174:return 915:Chart 741:Spoon 715:(PDF) 662:: an 606:(PDF) 580:S2CID 535:S2CID 467:(SRT) 436:(DOM) 430:(DAG) 108:while 47:, or 971:LALR 672:Java 570:ISBN 527:ISSN 450:Lisp 250:and 198:tree 153:else 129:> 983:AST 941:PEG 884:CYK 729:OMG 562:doi 519:doi 287:it. 190:AST 184:An 1020:: 857:LR 805:LL 693:. 681:. 670:a 578:. 568:. 556:. 533:. 525:. 515:33 513:. 509:. 399:. 243:. 216:. 162::= 141::= 123:if 51:, 43:, 776:e 769:t 762:v 727:( 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Index

parse tree
list of references
related reading
external links
inline citations
improve
introducing
Learn how and when to remove this message

Euclidean algorithm
computer science
tree
abstract syntactic
source code
formal language
parentheses
parse trees
parser
compiling
contextual analysis
program analysis
program transformation
data structures
compilers
syntax analysis
source code
ambiguous
context-free grammar
duck typing
Operator overloading

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