1. The document discusses the phases of a compiler including lexical analysis, syntax analysis, and semantic analysis.
2. Lexical analysis breaks input into tokens which are passed to the parser, syntax analysis builds an abstract syntax tree by applying grammar rules to check structure, and semantic analysis ensures correct meaning.
3. Key aspects covered include context-free grammars, symbol tables for storing token information, and error detection and reporting across compiler phases.
This document provides an overview of a compiler engineering lab at the University of Dammam Girls' College of Science. It discusses what a compiler is, the different phases and parts of compilation including lexical analysis, syntax analysis, and code generation. It also describes some common compiler construction tools like scanner generators, parser generators, and code optimizers that can automate parts of the compiler development process. The document serves as an introduction to the concepts and processes involved in building compilers.
This document describes a lab assignment on developing a compiler for simple expressions. It discusses lexical analysis to detect errors, constructing an abstract syntax tree, and designing a syntax-directed translator to convert infix notation to postfix. The translator is a C program that reads characters and calls functions to handle terms, expressions, and errors. It uses a global variable to pass the lookahead character between functions for translation.
The document describes a compiler design lab manual. It contains 12 experiments related to compiler design topics like lexical analysis, parsing, syntax analysis, code generation etc. It also lists the program outcomes and program specific outcomes attained through each experiment. The objective of the lab is to provide students hands-on experience with basic compiler construction techniques and tools.
This document discusses flex and bison tools for lexical analysis and parsing. It covers:
1. How flex returns tokens with values and bison assigns token numbers starting from 258.
2. The basics of writing flex rules and scanners, and bison grammars, rules, and parsers.
3. An example bison calculator grammar and combining the flex scanner and bison parser.
The document discusses the phases of a compiler including lexical analysis. It provides questions and answers related to compilers and lexical analysis. Specifically:
- It defines key terms related to compilers like translators, compilers, interpreters, and the phases of compilation.
- Questions cover topics like regular expressions, finite automata, lexical analysis issues, and the role of lexical analyzers.
- The role of the lexical analyzer is to read the source program and group it into tokens that are then passed to the parser.
- Regular expressions are used to specify patterns for tokens and can be represented by finite automata like NFAs and DFAs.
A compiler is a program that translates a program written in a source language into an equivalent program in a target language. It has two main parts - a front end that handles language-dependent tasks like lexical analysis, syntax analysis, and semantic analysis, and a back end that handles language-independent tasks like code optimization and final code generation. Compiler design involves techniques from programming languages, theory, algorithms, and computer architecture. Regular expressions are used to describe the tokens in a programming language.
This document discusses pointers, file handling, and C preprocessors. It covers:
- Defining and declaring pointers, and examples of pointer usage
- Opening, reading, writing, and closing files
- Preprocessor directives like #include, #define, and #if that are used to define macros and conditionally compile code
This document provides an overview of a compiler engineering lab at the University of Dammam Girls' College of Science. It discusses what a compiler is, the different phases and parts of compilation including lexical analysis, syntax analysis, and code generation. It also describes some common compiler construction tools like scanner generators, parser generators, and code optimizers that can automate parts of the compiler development process. The document serves as an introduction to the concepts and processes involved in building compilers.
This document describes a lab assignment on developing a compiler for simple expressions. It discusses lexical analysis to detect errors, constructing an abstract syntax tree, and designing a syntax-directed translator to convert infix notation to postfix. The translator is a C program that reads characters and calls functions to handle terms, expressions, and errors. It uses a global variable to pass the lookahead character between functions for translation.
The document describes a compiler design lab manual. It contains 12 experiments related to compiler design topics like lexical analysis, parsing, syntax analysis, code generation etc. It also lists the program outcomes and program specific outcomes attained through each experiment. The objective of the lab is to provide students hands-on experience with basic compiler construction techniques and tools.
This document discusses flex and bison tools for lexical analysis and parsing. It covers:
1. How flex returns tokens with values and bison assigns token numbers starting from 258.
2. The basics of writing flex rules and scanners, and bison grammars, rules, and parsers.
3. An example bison calculator grammar and combining the flex scanner and bison parser.
The document discusses the phases of a compiler including lexical analysis. It provides questions and answers related to compilers and lexical analysis. Specifically:
- It defines key terms related to compilers like translators, compilers, interpreters, and the phases of compilation.
- Questions cover topics like regular expressions, finite automata, lexical analysis issues, and the role of lexical analyzers.
- The role of the lexical analyzer is to read the source program and group it into tokens that are then passed to the parser.
- Regular expressions are used to specify patterns for tokens and can be represented by finite automata like NFAs and DFAs.
A compiler is a program that translates a program written in a source language into an equivalent program in a target language. It has two main parts - a front end that handles language-dependent tasks like lexical analysis, syntax analysis, and semantic analysis, and a back end that handles language-independent tasks like code optimization and final code generation. Compiler design involves techniques from programming languages, theory, algorithms, and computer architecture. Regular expressions are used to describe the tokens in a programming language.
This document discusses pointers, file handling, and C preprocessors. It covers:
- Defining and declaring pointers, and examples of pointer usage
- Opening, reading, writing, and closing files
- Preprocessor directives like #include, #define, and #if that are used to define macros and conditionally compile code
The document discusses the major phases of a compiler:
1. Syntax analysis parses the source code and produces an abstract syntax tree.
2. Contextual analysis checks the program for errors like type checking and scope and annotates the abstract syntax tree.
3. Code generation transforms the decorated abstract syntax tree into object code.
Declare Your Language: What is a Compiler?Eelco Visser
The document provides an overview of the course on compiler construction, including information on the course organization, website, assignments, and deadlines, as well as introducing the concept of what a compiler is and the different types of compilers. It also discusses how linguistic abstractions can be used to build domain-specific languages and language workbenches that support the design and implementation of programming languages through the use of declarative meta-languages.
FellowBuddy.com is an innovative platform that brings students together to share notes, exam papers, study guides, project reports and presentation for upcoming exams.
We connect Students who have an understanding of course material with Students who need help.
Benefits:-
# Students can catch up on notes they missed because of an absence.
# Underachievers can find peer developed notes that break down lecture and study material in a way that they can understand
# Students can earn better grades, save time and study effectively
Our Vision & Mission – Simplifying Students Life
Our Belief – “The great breakthrough in your life comes when you realize it, that you can learn anything you need to learn; to accomplish any goal that you have set for yourself. This means there are no limits on what you can be, have or do.”
Like Us - https://www.facebook.com/FellowBuddycom
The document discusses the structure and process of a compiler. It has two major phases - the front-end and back-end. The front-end performs analysis of the source code by recognizing legal/illegal programs, understanding semantics, and producing an intermediate representation. The back-end translates the intermediate representation into target code. The general structure includes lexical analysis, syntax analysis, semantic analysis, code generation and optimization phases.
The document discusses the different phases of a compiler:
1. Lexical analysis scans source code as characters and converts them into tokens.
2. Syntax analysis checks token arrangements against the grammar to ensure syntactic correctness.
3. Semantic analysis checks that rules like type compatibility are followed.
4. Intermediate code is generated for an abstract machine.
5. Code optimization removes unnecessary code and improves efficiency.
6. Code generation translates the optimized intermediate code to machine language.
The document describes the general structure of a compiler, which consists of a front-end and back-end separated by an intermediate representation (IR). The front-end performs analysis of the source code by parsing and semantic checking to generate an IR. The back-end then translates the IR into target code through optimization and code generation. This separation allows different front-ends and back-ends to be combined to create compilers for new languages and targets. The front-end includes lexical analysis, syntax analysis, and semantic analysis, while the back-end contains IR generation, optimization, and code generation steps.
The document discusses the various phases of a compiler:
1. Lexical analysis groups characters into tokens like identifiers and operators.
2. Syntax analysis parses tokens into a parse tree representing the program's grammatical structure.
3. Semantic analysis checks for semantic errors and collects type information by analyzing the parse tree.
Yacc is a general tool for describing the input to computer programs. It generates a LALR parser that analyzes tokens from Lex and creates a syntax tree based on the grammar rules specified. Yacc was originally developed in the 1970s and generates C code for the syntax analyzer from a grammar similar to BNF. It has been used to build compilers for languages like C, Pascal, and APL as well as for other programs like document retrieval systems.
- The document outlines the goals, outcomes, prerequisites, topics covered, and grading for a compiler design course.
- The major goals are to provide an understanding of compiler phases like scanning, parsing, semantic analysis and code generation, and have students implement parts of a compiler for a small language.
- By the end of the course students will be familiar with compiler phases and be able to define the semantic rules of a programming language.
- Prerequisites include knowledge of programming languages, algorithms, and grammar theories.
- The course covers topics like scanning, parsing, semantic analysis, code generation and optimization.
The document discusses the different phases of a compiler including lexical analysis, syntax analysis, semantic analysis, intermediate code generation, code optimization, and code generation. It provides details on each phase and the techniques involved. The overall structure of a compiler is given as taking a source program through various representations until target machine code is generated. Key terms related to compilers like tokens, lexemes, and parsing techniques are also introduced.
In this PPT we covered all the points like..Introduction to compilers - Design issues, passes, phases, symbol table
Preliminaries - Memory management, Operating system support for compiler, Compiler support for garbage collection ,Lexical Analysis - Tokens, Regular Expressions, Process of Lexical analysis, Block Schematic, Automatic construction of lexical analyzer using LEX, LEX features and specification.
The document discusses the three phases of analysis in compiling a source program:
1) Linear analysis involves grouping characters into tokens with collective meanings like identifiers and operators.
2) Hierarchical analysis groups tokens into nested structures with collective meanings like expressions, represented by parse trees.
3) Semantic analysis checks that program components fit together meaningfully through type checking and ensuring operators have permitted operand types.
The document discusses error detection and recovery in compilers. It describes how compilers should detect various types of errors and attempt to recover from them to continue processing the program. It covers lexical, syntactic and semantic errors and different strategies compilers can use for error recovery like insertion, deletion or replacement of tokens. It also discusses properties of good error reporting and handling shift-reduce conflicts.
The document outlines the major phases of a compiler: lexical analysis, syntax analysis, semantic analysis, intermediate code generation, code optimization, and code generation. It describes the purpose and techniques used in each phase, including how lexical analyzers produce tokens, parsers use context-free grammars to build parse trees, and semantic analyzers perform type checking using attribute grammars. The intermediate code generation phase produces machine-independent codes that are later optimized and translated to machine-specific target codes.
This document provides a 2 mark question and answer review for the Principles of Compiler Design subject. It includes 40 questions and answers covering topics like the definitions and phases of a compiler, lexical analysis, syntax analysis, parsing, grammars, ambiguity, error handling and more. The questions are multiple choice or short answer designed to assess understanding of key compiler design concepts and techniques.
The document discusses the role and implementation of a lexical analyzer in compilers. A lexical analyzer is the first phase of a compiler that reads source code characters and generates a sequence of tokens. It groups characters into lexemes and determines the tokens based on patterns. A lexical analyzer may need to perform lookahead to unambiguously determine tokens. It associates attributes with tokens, such as symbol table entries for identifiers. The lexical analyzer and parser interact through a producer-consumer relationship using a token buffer.
Phases of the Compiler - Systems ProgrammingMukesh Tekwani
The document describes the various phases of compilation:
1. Lexical analysis scans the source code and groups characters into tokens.
2. Syntax analysis checks syntax and constructs parse trees.
3. Semantic analysis generates intermediate code, checks for semantic errors using symbol tables, and enforces type checking.
4. Optional optimization improves programs by making them more efficient.
The document discusses syntax analysis in compiler design. It defines syntax analysis as the process of analyzing a string of symbols according to the rules of a formal grammar. This involves checking the syntax against a context-free grammar, which is more powerful than regular expressions and can check balancing of tokens. The output of syntax analysis is a parse tree. It separates lexical analysis and parsing for simplicity and efficiency. Lexical analysis breaks the source code into tokens, while parsing analyzes token streams against production rules to detect errors and generate the parse tree.
This document discusses the role and implementation of a lexical analyzer. It begins by explaining that the lexical analyzer is the first phase of a compiler that reads source code characters and produces tokens for the parser. It describes how the lexical analyzer interacts with the parser by returning tokens when requested. The document then discusses several tasks of the lexical analyzer, including stripping comments and whitespace, tracking line numbers for errors, and preprocessing macros. It also covers concepts like tokens, patterns, lexemes, and attributes. Finally, it provides an example input and output of a lexical analyzer tokenizing a C program.
The document discusses the major phases of a compiler:
1. Syntax analysis parses the source code and produces an abstract syntax tree.
2. Contextual analysis checks the program for errors like type checking and scope and annotates the abstract syntax tree.
3. Code generation transforms the decorated abstract syntax tree into object code.
Declare Your Language: What is a Compiler?Eelco Visser
The document provides an overview of the course on compiler construction, including information on the course organization, website, assignments, and deadlines, as well as introducing the concept of what a compiler is and the different types of compilers. It also discusses how linguistic abstractions can be used to build domain-specific languages and language workbenches that support the design and implementation of programming languages through the use of declarative meta-languages.
FellowBuddy.com is an innovative platform that brings students together to share notes, exam papers, study guides, project reports and presentation for upcoming exams.
We connect Students who have an understanding of course material with Students who need help.
Benefits:-
# Students can catch up on notes they missed because of an absence.
# Underachievers can find peer developed notes that break down lecture and study material in a way that they can understand
# Students can earn better grades, save time and study effectively
Our Vision & Mission – Simplifying Students Life
Our Belief – “The great breakthrough in your life comes when you realize it, that you can learn anything you need to learn; to accomplish any goal that you have set for yourself. This means there are no limits on what you can be, have or do.”
Like Us - https://www.facebook.com/FellowBuddycom
The document discusses the structure and process of a compiler. It has two major phases - the front-end and back-end. The front-end performs analysis of the source code by recognizing legal/illegal programs, understanding semantics, and producing an intermediate representation. The back-end translates the intermediate representation into target code. The general structure includes lexical analysis, syntax analysis, semantic analysis, code generation and optimization phases.
The document discusses the different phases of a compiler:
1. Lexical analysis scans source code as characters and converts them into tokens.
2. Syntax analysis checks token arrangements against the grammar to ensure syntactic correctness.
3. Semantic analysis checks that rules like type compatibility are followed.
4. Intermediate code is generated for an abstract machine.
5. Code optimization removes unnecessary code and improves efficiency.
6. Code generation translates the optimized intermediate code to machine language.
The document describes the general structure of a compiler, which consists of a front-end and back-end separated by an intermediate representation (IR). The front-end performs analysis of the source code by parsing and semantic checking to generate an IR. The back-end then translates the IR into target code through optimization and code generation. This separation allows different front-ends and back-ends to be combined to create compilers for new languages and targets. The front-end includes lexical analysis, syntax analysis, and semantic analysis, while the back-end contains IR generation, optimization, and code generation steps.
The document discusses the various phases of a compiler:
1. Lexical analysis groups characters into tokens like identifiers and operators.
2. Syntax analysis parses tokens into a parse tree representing the program's grammatical structure.
3. Semantic analysis checks for semantic errors and collects type information by analyzing the parse tree.
Yacc is a general tool for describing the input to computer programs. It generates a LALR parser that analyzes tokens from Lex and creates a syntax tree based on the grammar rules specified. Yacc was originally developed in the 1970s and generates C code for the syntax analyzer from a grammar similar to BNF. It has been used to build compilers for languages like C, Pascal, and APL as well as for other programs like document retrieval systems.
- The document outlines the goals, outcomes, prerequisites, topics covered, and grading for a compiler design course.
- The major goals are to provide an understanding of compiler phases like scanning, parsing, semantic analysis and code generation, and have students implement parts of a compiler for a small language.
- By the end of the course students will be familiar with compiler phases and be able to define the semantic rules of a programming language.
- Prerequisites include knowledge of programming languages, algorithms, and grammar theories.
- The course covers topics like scanning, parsing, semantic analysis, code generation and optimization.
The document discusses the different phases of a compiler including lexical analysis, syntax analysis, semantic analysis, intermediate code generation, code optimization, and code generation. It provides details on each phase and the techniques involved. The overall structure of a compiler is given as taking a source program through various representations until target machine code is generated. Key terms related to compilers like tokens, lexemes, and parsing techniques are also introduced.
In this PPT we covered all the points like..Introduction to compilers - Design issues, passes, phases, symbol table
Preliminaries - Memory management, Operating system support for compiler, Compiler support for garbage collection ,Lexical Analysis - Tokens, Regular Expressions, Process of Lexical analysis, Block Schematic, Automatic construction of lexical analyzer using LEX, LEX features and specification.
The document discusses the three phases of analysis in compiling a source program:
1) Linear analysis involves grouping characters into tokens with collective meanings like identifiers and operators.
2) Hierarchical analysis groups tokens into nested structures with collective meanings like expressions, represented by parse trees.
3) Semantic analysis checks that program components fit together meaningfully through type checking and ensuring operators have permitted operand types.
The document discusses error detection and recovery in compilers. It describes how compilers should detect various types of errors and attempt to recover from them to continue processing the program. It covers lexical, syntactic and semantic errors and different strategies compilers can use for error recovery like insertion, deletion or replacement of tokens. It also discusses properties of good error reporting and handling shift-reduce conflicts.
The document outlines the major phases of a compiler: lexical analysis, syntax analysis, semantic analysis, intermediate code generation, code optimization, and code generation. It describes the purpose and techniques used in each phase, including how lexical analyzers produce tokens, parsers use context-free grammars to build parse trees, and semantic analyzers perform type checking using attribute grammars. The intermediate code generation phase produces machine-independent codes that are later optimized and translated to machine-specific target codes.
This document provides a 2 mark question and answer review for the Principles of Compiler Design subject. It includes 40 questions and answers covering topics like the definitions and phases of a compiler, lexical analysis, syntax analysis, parsing, grammars, ambiguity, error handling and more. The questions are multiple choice or short answer designed to assess understanding of key compiler design concepts and techniques.
The document discusses the role and implementation of a lexical analyzer in compilers. A lexical analyzer is the first phase of a compiler that reads source code characters and generates a sequence of tokens. It groups characters into lexemes and determines the tokens based on patterns. A lexical analyzer may need to perform lookahead to unambiguously determine tokens. It associates attributes with tokens, such as symbol table entries for identifiers. The lexical analyzer and parser interact through a producer-consumer relationship using a token buffer.
Phases of the Compiler - Systems ProgrammingMukesh Tekwani
The document describes the various phases of compilation:
1. Lexical analysis scans the source code and groups characters into tokens.
2. Syntax analysis checks syntax and constructs parse trees.
3. Semantic analysis generates intermediate code, checks for semantic errors using symbol tables, and enforces type checking.
4. Optional optimization improves programs by making them more efficient.
The document discusses syntax analysis in compiler design. It defines syntax analysis as the process of analyzing a string of symbols according to the rules of a formal grammar. This involves checking the syntax against a context-free grammar, which is more powerful than regular expressions and can check balancing of tokens. The output of syntax analysis is a parse tree. It separates lexical analysis and parsing for simplicity and efficiency. Lexical analysis breaks the source code into tokens, while parsing analyzes token streams against production rules to detect errors and generate the parse tree.
This document discusses the role and implementation of a lexical analyzer. It begins by explaining that the lexical analyzer is the first phase of a compiler that reads source code characters and produces tokens for the parser. It describes how the lexical analyzer interacts with the parser by returning tokens when requested. The document then discusses several tasks of the lexical analyzer, including stripping comments and whitespace, tracking line numbers for errors, and preprocessing macros. It also covers concepts like tokens, patterns, lexemes, and attributes. Finally, it provides an example input and output of a lexical analyzer tokenizing a C program.
The document discusses the role of a lexical analyzer in a compiler. It states that the lexical analyzer is the first phase of a compiler. Its main task is to read characters as input and produce a sequence of tokens that the parser uses for syntax analysis. It groups character sequences into lexemes and passes the resulting tokens to the parser along with any attribute values. The lexical analyzer and parser form a producer-consumer relationship, with the lexical analyzer producing tokens for the parser to consume.
This document provides information about the CS213 Programming Languages Concepts course taught by Prof. Taymoor Mohamed Nazmy in the computer science department at Ain Shams University in Cairo, Egypt. It describes the syntax and semantics of programming languages, discusses different programming language paradigms like imperative, functional, and object-oriented, and explains concepts like lexical analysis, parsing, semantic analysis, symbol tables, intermediate code generation, optimization, and code generation which are parts of the compiler design process.
The document discusses lexical analysis, which is the first phase of compilation. It involves reading the source code and grouping characters into meaningful sequences called lexemes. Each lexeme is mapped to a token that is passed to the subsequent parsing phase. Regular expressions are used to specify patterns for tokens. A lexical analyzer uses finite automata to recognize tokens based on these patterns. Lexical analyzers may also perform tasks like removing comments and whitespace from the source code.
The document discusses intermediate code generation in compilers. It describes how compilers generate intermediate code representations after parsing source code. Intermediate representations allow separating the front-end and back-end of compilers, facilitating code optimization and retargeting compilers to different architectures. Common intermediate representations discussed include abstract syntax trees, postfix notation, static single assignment form, and three-address instructions. The document also provides examples of generating three-address code using syntax-directed translation.
This document discusses code analysis and techniques for predicting runtime errors in source code. It describes existing solutions like detecting uninitialized variables, overflows, divide by zeros, incorrect argument data types. It also discusses detecting out-of-bounds array and pointer references, memory allocation/deallocation errors, and memory leaks. The document outlines the design of a code analyzer that takes C code as input, performs lexical and syntax analysis to generate intermediate code, and then uses the intermediate code to predict possible runtime errors. Further work mentioned includes evaluating the intermediate code to perform data and control flow analysis for error prediction.
A compiler is a program that translates a program written in a source language into an equivalent program in a target language. It has two major parts - analysis and synthesis. In analysis, an intermediate representation is created by analyzing the lexical, syntactic and semantic properties of the source program. In synthesis, the target program is created from the intermediate representation through code generation and optimization. The major techniques used in compiler design like parsing and code generation can also be applied to other domains like natural language processing.
The document discusses the role and process of a lexical analyzer in compiler design. A lexical analyzer groups input characters into lexemes and produces a sequence of tokens as output for the syntactic analyzer. It strips out comments and whitespace, correlates line numbers with errors, and interacts with the symbol table. Lexical analysis improves compiler efficiency, portability, and allows for simpler parser design by separating lexical and syntactic analysis.
The document discusses the phases of a compiler in three sentences:
1) A compiler has analysis and synthesis phases, with analysis including lexical analysis to identify tokens, hierarchical/syntax analysis to group tokens into a parse tree, and semantic analysis to check correctness.
2) The synthesis phases generate intermediate code, optimize it, and finally generate target machine code.
3) Each phase supports the others through symbol tables, error handling, and intermediate representations that are passed between phases.
Compiler designs presentation by group 2 final finalilias ahmed
The document is a project presentation on compiler design by Group 2 students Ilias Ahmed, Arifur Islam, Tasnia Islam and MD.Abdur Rahim Khan. It discusses the objectives of lexical analysis, syntax analysis and symbol tables in compiler design. Specifically, it explains how a compiler works, the need for a compiler, and the functions of lexical analysis including tokenizing source code and recognizing keywords, identifiers and constants. It also describes syntax analysis including parsing source code into a parse tree and how symbol tables store identifier information for quick access.
The document describes the structure and process of a compiler. It discusses the major phases of a compiler including scanning, parsing, semantic analysis, code generation and optimization. It also summarizes the key data structures used in a compiler like the symbol table and syntax tree. The document uses the TINY programming language and its compiler for the TM machine as an example to illustrate the compiler construction process.
The document provides an overview of compilers and interpreters. It discusses that a compiler translates source code into machine code that can be executed, while an interpreter executes source code directly without compilation. The document then covers the typical phases of a compiler in more detail, including the front-end (lexical analysis, syntax analysis, semantic analysis), middle-end/optimizer, and back-end (code generation). It also discusses interpreters, intermediate code representation, symbol tables, and compiler construction tools.
This document provides an introduction to compilers and their construction. It defines a compiler as a program that translates a source program into target machine code. The compilation process involves several phases including lexical analysis, syntax analysis, semantic analysis, code optimization, and code generation. An interpreter directly executes source code without compilation. The document also discusses compiler tools and intermediate representations used in the compilation process.
1. A compiler translates a program written in a source language into an equivalent program in a target language. It performs analysis and synthesis phases.
2. The analysis phase includes lexical analysis, syntax analysis, and semantic analysis to create an intermediate representation.
3. The synthesis phase includes intermediate code generation, code optimization, and code generation to create the target program.
4. Compiler construction techniques are useful for many tasks beyond just compilation, such as natural language processing.
The document provides an overview of compiler design and the different phases involved in compiling a program. It discusses:
1) What compilers do by translating source code into machine code while hiding machine-dependent details. Compilers may generate pure machine code, augmented machine code, or virtual machine code.
2) The typical structure of a compiler which includes lexical analysis, syntactic analysis, semantic analysis, code generation, and optimization phases.
3) Lexical analysis involves scanning the source code and grouping characters into tokens. Regular expressions are used to specify patterns for tokens. Scanner generators like Lex and Flex can generate scanners from regular expression definitions.
The document discusses the differences between compilers and interpreters. It states that a compiler translates an entire program into machine code in one pass, while an interpreter translates and executes code line by line. A compiler is generally faster than an interpreter, but is more complex. The document also provides an overview of the lexical analysis phase of compiling, including how it breaks source code into tokens, creates a symbol table, and identifies patterns in lexemes.
This document describes the syllabus for the course CS2352 Principles of Compiler Design. It includes 5 units covering lexical analysis, syntax analysis, intermediate code generation, code generation, and code optimization. The objectives of the course are to understand and implement a lexical analyzer, parser, code generation schemes, and optimization techniques. It lists a textbook and references for the course and provides a brief description of the topics to be covered in each unit.
A flex program consists of three sections:
1. A definition section containing declarations and options.
2. A rules section listing patterns and actions.
3. A subroutines section containing C code copied to the generated scanner.
The scanner reads from standard input by default and returns tokens consisting of the token type and value. Flex matches the longest pattern first or the first pattern if lengths are equal.
GraphRAG for Life Science to increase LLM accuracyTomaz Bratanic
GraphRAG for life science domain, where you retriever information from biomedical knowledge graphs using LLMs to increase the accuracy and performance of generated answers
“An Outlook of the Ongoing and Future Relationship between Blockchain Technologies and Process-aware Information Systems.” Invited talk at the joint workshop on Blockchain for Information Systems (BC4IS) and Blockchain for Trusted Data Sharing (B4TDS), co-located with with the 36th International Conference on Advanced Information Systems Engineering (CAiSE), 3 June 2024, Limassol, Cyprus.
How to Get CNIC Information System with Paksim Ga.pptxdanishmna97
Pakdata Cf is a groundbreaking system designed to streamline and facilitate access to CNIC information. This innovative platform leverages advanced technology to provide users with efficient and secure access to their CNIC details.
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
Best 20 SEO Techniques To Improve Website Visibility In SERPPixlogix Infotech
Boost your website's visibility with proven SEO techniques! Our latest blog dives into essential strategies to enhance your online presence, increase traffic, and rank higher on search engines. From keyword optimization to quality content creation, learn how to make your site stand out in the crowded digital landscape. Discover actionable tips and expert insights to elevate your SEO game.
Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
available on those devices, but many of the features provide convenience and capability but sacrifice security. This best practices guide outlines steps the users can take to better protect personal devices and information.
Climate Impact of Software Testing at Nordic Testing DaysKari Kakkonen
My slides at Nordic Testing Days 6.6.2024
Climate impact / sustainability of software testing discussed on the talk. ICT and testing must carry their part of global responsibility to help with the climat warming. We can minimize the carbon footprint but we can also have a carbon handprint, a positive impact on the climate. Quality characteristics can be added with sustainability, and then measured continuously. Test environments can be used less, and in smaller scale and on demand. Test techniques can be used in optimizing or minimizing number of tests. Test automation can be used to speed up testing.
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...Neo4j
Leonard Jayamohan, Partner & Generative AI Lead, Deloitte
This keynote will reveal how Deloitte leverages Neo4j’s graph power for groundbreaking digital twin solutions, achieving a staggering 100x performance boost. Discover the essential role knowledge graphs play in successful generative AI implementations. Plus, get an exclusive look at an innovative Neo4j + Generative AI solution Deloitte is developing in-house.
Sudheer Mechineni, Head of Application Frameworks, Standard Chartered Bank
Discover how Standard Chartered Bank harnessed the power of Neo4j to transform complex data access challenges into a dynamic, scalable graph database solution. This keynote will cover their journey from initial adoption to deploying a fully automated, enterprise-grade causal cluster, highlighting key strategies for modelling organisational changes and ensuring robust disaster recovery. Learn how these innovations have not only enhanced Standard Chartered Bank’s data infrastructure but also positioned them as pioneers in the banking sector’s adoption of graph technology.
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slackshyamraj55
Discover the seamless integration of RPA (Robotic Process Automation), COMPOSER, and APM with AWS IDP enhanced with Slack notifications. Explore how these technologies converge to streamline workflows, optimize performance, and ensure secure access, all while leveraging the power of AWS IDP and real-time communication via Slack notifications.
Dr. Sean Tan, Head of Data Science, Changi Airport Group
Discover how Changi Airport Group (CAG) leverages graph technologies and generative AI to revolutionize their search capabilities. This session delves into the unique search needs of CAG’s diverse passengers and customers, showcasing how graph data structures enhance the accuracy and relevance of AI-generated search results, mitigating the risk of “hallucinations” and improving the overall customer journey.
UiPath Test Automation using UiPath Test Suite series, part 6DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
2. LEXICAL ANALYSIS SUMMARY
1. Start New Token
2. Read 1st character to start recognizing its type
according to the algorithm specified in 3. Slide 3
3. Pass its Token (Lexeme Type) and Value Attribute
send to Parser
4. Repeat Steps (1-3)
5. Repeat Until End
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3. Start New TOKEN
Read 1st Character
If is Digit? TOKEN = NUM
If is Letter?
Read Following Characters
If any is digit or _? TOKEN = ID
Is a
If all letters? Keyword
?
Is RELOP? Is 2nd TOKEN=
TOKEN=KEYWOR
>, <, !, = Char (=)? RELOP
D
Is AROP?
+, -. /, *, = TOEKN = AROP
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4. SYNTAX ANALYSIS (PARSING)
• is the process of analyzing a text, made of a
sequence of tokens
• to determine its grammatical structure with respect
to a given (more or less) formal grammar.
• Builds Abstract Syntax Tree (AST)
• Part from an Interpreter or a Compiler
• Creates some form of Internal Representation (IR)
• Programming Languages tend to be written in
Context-free grammar Efficient + fast Parsers can
be written for them
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5. PHASE 2 : SYNTAX ANALYSIS
• also called sometimes Syntax Checking
• Ensures that:
• the code is valid grammatically (without worrying about the
meaning)
• and will sequence into an executable program.
• The syntactical analyzer applies rules to the code;
For example:
• checking to make sure that each opening brace has a
corresponding closing brace,
• and that each declaration has a type,
• and that the type exists .. etc
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6. CONTEXT-FREE GRAMMAR
• Defines the components that forms an expression +
defines the order they must appear in
• A context-free grammar is a set of rules specifying
how syntactic elements in some language can be
formed from simpler ones
• The grammar specifies allowable ways to combine
tokens(called terminals), into higher-level syntactic
elements (called non-terminal)
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7. CONTEXT-FREE GRAMMAR
• Ex.:
• Any ID is an expression (Preferred to say TOKEN)
• Any Number is an expression (Preferred to say TOKEN)
• If Expr1 and Expr2 are expressions then:
• Expr1+ Expr2 are expressions
• Expr1* Expr2 are expressions
• If id1 and Expr2 are expressions then:
• Id1 = Expr2 is a statement
• If Expr1and Statement 2 then
• While (Expr1) do Statement 2,
• If (Expr1) then Statement 2
are statements
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8. GRAMMAR & AST
TOKEN (terminals) = Leaf
Expressions, Statements (Non-Terminals) = Nodes
Lexical Stream of TOKENs
Stream of Characters
Analysis
Syntax
Stream of TOKENs Abstract Syntax Tree (AST)
Analysis
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9. PHASE 2 : SYNTAX ANALYSIS
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11. SYMBOL TABLE
• A Symbol Table is a data structure containing a
record for each identifier with fields for the
attributes of an ID
• Tokens formed are recorded in the ST
• Purpose:
• To analyze expressionsstatements, that is a hierarchal or
nesting structure is required
• Data structure allows us to: find, retrieve, store a record for
an ID quickly.
• For example: in Semantic Analysis Phase + Code Generation
phase retrieve ID Type to Type Check and Implementation
purposes
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12. SYMBOL TABLE MANAGEMENT
• The Symbol Table may contain any of the following
information:
• For an ID:
• The storage allocated for an ID,
• its TYPE,
• Its Scope (Where it’s valid in the program)
• For a function also:
• Number of Arguments
• Types of Arguments
• Passing Method (By Reference or By Value)
• Return Type
• Identifiers will be added if they don’t already exist
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13. SYMBOL TABLE MANAGEMENT
• Not all attributes can always be determined by a
lexical analyzer because of its linear nature
• E.g. dim a, x as integer
• In this example the analyzer at the time when seeing the IDs
has still unreached the type keyword
• So, following phases will complete filling IDs
attributes and using them as well
• For example: the storage location attribute is assigned by
the code generator phase
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14. ERROR DETECTION & REPORTING
• In order the Compilation process proceed
correctly, Each phase must:
• Detect any error
• Deal with detected error(s)
• Errors detection:
• Most in Syntax + Semantic Analysis
• In Lexical Analysis: if characters aren’t legal for token
formation
• In Syntax Analysis: violates structure rules
• In Semantic Analysis: correct structure but wrong invalid
meaning (e.g. ID = Array Name + Function Name)
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15. COMPILER PHASES
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16. LEXICAL ANALYZER &
Lexical Analyzer
SYMBOL TABLE
Token Token Token Location
ID Type Value
Id1 ID position
expr1 AROP ASS
1d2 ID Initial
Expr2 AROP SUM
Id3 ID Rate
Expr3 AROP MUL
N1 Num 60
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17. SYNTAX ANALYZER &
SYMBOL TABLE
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18. SYNTAX ANALYZER &
SYMBOL TABLE
A LEAF is a record with two or more fields
One to identify the TOKEN and others to identify info
attributes
Token Token Token
Location
ID Type Value
Id1 ID position
expr1 AROP ASS
1d2 ID Initial
Expr2 AROP SUM
Id3 ID Rate
Expr3 AROP MUL
N1 NUM 60
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19. SYNTAX ANALYZER &
SYMBOL TABLE
An interior NODE is a record with a field for the operator
and two fields of pointers to the left and right children
Left Child Right Child
Operator
(Pointer) (Pointer)
Expr1 id1 Expr2
Expr2 id2 Expr3
Expr3 id3 N1
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20. TASK 1: THINK AS A COMPILER!
• Analyze the following program syntactically:
int main()
{
std::cout << "hello world" << std::endl;
return 0;
}
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22. TASK 2: A STATEMENT AST
• Create an abstract syntax tree for the following
code for the Euclidean algorithm:
while b ≠ 0
if a > b
a := a − b
else
b := b − a
return a
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23. TASK 2: A STATEMENT AST
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24. LAB ASSIGNMENT
Write the Syntax Analyzer Components and Ensure
fulfilling the following :
• Create a Symbol Table (for all types including IDs,
Functions, .. Etc)
• Fill the Symbol Table with Tokens extracted from the
Lexical Analysis phase
•Differentiate between Node and Leaf
• Applying grammar rules (tokens, expressions,
statements)
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25. QUESTIONS?
Thank you for listening
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Editor's Notes
The syntax analyzer would first look at the string "int", check it against defined keywords, and find that it is a type for integers. *The analyzer would then look at the next token as an identifier, and check to make sure that it has used a valid identifier name.It would then look at the next token. Because it is an opening parenthesis it will treat "main" as a function, instead of a declaration of a variable if it found a semicolon or the initialization of an integer variable if it found an equals sign.After the opening parenthesis it would find a closing parenthesis, meaning that the function has 0 parameters.Then it would look at the next token and see it was an opening brace, so it would think that this was the implementation of the function main, instead of a declaration of main if the next token had been a semicolon, even though you can not declare main in c++. It would probably create a counter also to keep track of the level of the statement blocks to make sure the braces were in pairs. *After that it would look at the next token, and probably not do anything with it, but then it would see the :: operator, and check that "std" was a valid namespace.Then it would see the next token "cout" as the name of an identifier in the namespace "std", and see that it was a template.The analyzer would see the << operator next, and so would check that the << operator could be used with cout, and also that the next token could be used with the << operator.The same thing would happen with the next token after the ""hello world"" token. Then it would get to the "std" token again, look past it to see the :: operator token and check that the namespace existed again, then check to see if "endl" was in the namespace.Then it would see the semicolon and so it would see that as the end of the statement.Next it would see the keyword return, and then expect an integer value as the next token because main returns an integer, and it would find 0, which is an integer.Then the next symbol is a semicolon so that is the end of the statement.The next token is a closing brace so that is the end of the function. And there are no more tokens, so if the syntax analyzer did not find any errors with the code, it would send the tokens to the compiler so that the program could be converted to machine language.This is a simple view of syntax analysis, and real syntax analyzers do not really work this way, but the idea is the same.