This document discusses error recovery strategies for different parsing techniques used in compiler design. It describes panic mode, phrase-level, and syntactic phase recovery strategies. For predictive parsing, it explains how panic mode works by skipping tokens until a synchronizing token is found. For LR parsing and operator precedence parsing, it also discusses using panic mode and syntactic phase recovery. The document concludes that effective error recovery ensures parsers can continue processing despite errors and improves the developer experience.
match the following attributes to the parts of a compilerstrips ou.pdfarpitaeron555
match the following attributes to the parts of a compiler
strips out the comments and whitespace
converts text into lexemes
generates an Abstrat Symbol Tree
recursive descent or table driven
uses BNF or EBNF definitions
a. lexer
b. parser
Solution
The Program and Portfolio Management Maturity Model is an effective tool for organizations to
decide quickly what PPM improvements they should make to enhance their organization\'s
ability to optimize investments, execute big changes and deliver value.
Overview
Key Findings
Real project, program and portfolio management, when operating at the level of well-integrated
practices, is the key enabler that allows organizations to identify and execute strategic change.
Any meaningful undertakings to enhance or evolve the program and portfolio management
(PPM) function must pay more than lip service to organizational structure, business model and
culture to have any chance of success.
Competitive pressures and changing market conditions are forcing organizations toward Level 3,
and most organizations still aren\'t ready to make the leap.
Recommendations
At any level of PPM maturity, focus first on helping the organization make well-informed
investment choices. This will improve the odds of project success more than any other factor.
For organizations that require enterprisewide change and capabilities, it is worth the effort to
pursue Level 4, where enterprise PPM practices are built.
Identify objectives for your enterprise, and use them to identify the most salient improvement
opportunities for your enterprise.
Meticulously manage the change involved in maturing/improving your PPM capabilities.
Analysis
Project/program/portfolio management office (PMO) leaders, program managers and portfolio
managers are frequently challenged by ineffective processes, lack of stakeholder engagement and
difficult-to-quantify value. 1 Part of the problem is failure to match their processes, people and
technology approaches to the maturity level of their organizations. 2
The Gartner Program and Portfolio Management (PPM) Maturity Model assessment is designed
to help PPM leaders understand best practices around large project management, as well as PPM
to handle delivery of strategic value. This model assumes that organizations progress through a
maturity curve and that each level of organizational maturity directly affects the level of
investment and types of PPM approaches organizations choose to adopt.
arsing
A parser is an algorithm that determines whether a given input string is in a language and, as a
side-effect, usually produces a parse tree for the input. There is a procedure for generating a
parser from a given context-free grammar.
Recursive-Descent Parsing
Recursive-descent parsing is one of the simplest parsing techniques that is used in practice.
Recursive-descent parsers are also called top-down parsers, since they construct the parse tree
top down (rather than bottom up).
The basic idea of recursive-descent par.
We have learnt that any computer system is made of hardware and software.
The hardware understands a language, which humans cannot understand. So we write programs in high-level language, which is easier for us to understand and remember.
These programs are then fed into a series of tools and OS components to get the desired code that can be used by the machine.
This is known as Language Processing System.
CS 280 Fall 2022 Programming Assignment 2 November.docxrichardnorman90310
CS 280
Fall 2022
Programming Assignment 2
November 3rd, 2022
Due Date: Sunday, November 20, 2022, 23:59
Total Points: 20
In this programming assignment, you will be building a parser for a simple programming language.
The syntax definitions of the small programming language are given below using EBNF notations.
Your implementation of a parser to the language is based on the following grammar rules specified
in EBNF notations.
1. Prog ::= PROGRAM IDENT StmtList END PROGRAM
2. StmtList ::= Stmt; { Stmt; }
3. Stmt ::= DeclStmt | ControlStmt
4. DeclStmt ::= ( INT | FLOAT | BOOL ) VarList
5. VarList ::= Var { ,Var }
6. ControlStmt ::= AssigStmt | IfStmt | PrintStmt
7. PrintStmt ::= PRINT (ExprList)
8. IfStmt ::= IF (Expr) THEN StmtList { ELSE StmtList } END IF
9. AssignStmt ::= Var = Expr
10. Var ::= IDENT
11. ExprList ::= Expr { , Expr }
12. Expr ::= LogORExpr ::= LogANDExpr { || LogANDRxpr }
13. LogANDExpr ::= EqualExpr { && EqualExpr }
14. EqualExpr ::= RelExpr [== RelExpr ]
15. RelExpr ::= AddExpr [ ( < | > ) AddExpr ]
16. AddExpr :: MultExpr { ( + | - ) MultExpr }
17. MultExpr ::= UnaryExpr { ( * | / ) UnaryExpr }
18. UnaryExpr ::= ( - | + | ! ) PrimaryExpr | PrimaryExpr
19. PrimaryExpr ::= IDENT | ICONST | RCONST | SCONST | BCONST | ( Expr )
The following points describe the programming language. Note that not all of these points will be
addressed in this assignment. However, they are listed in order to give you an understanding of the
language semantics and what to be considered for implementing an interpreter for the language in
Programming Assignment 3. These points are:
Table of Operators Precedence Levels
Precedence Operator Description Associativity
1 Unary +, -,
and !
Unary plus, minus, and
logical NOT
Right-to-Left
(ignored)
2 *, / Multiplication and
Division
Left-to-Right
3 +, - Addition and
Subtraction
Left-to-Right
4 <, > Relational operators <
and >
(no cascading)
5 == Equality operator (no cascading)
6 && Logical AND Left-to-Right
7 || Logical OR Left-to-Right
1. The language has three types: INT, FLOAT and BOOL.
2. The precedence rules of operators in the language are as shown in the table of operators
precedence levels.
3. The PLUS, MINUS, MULT, DIV, AND, OR operators are left associative.
4. A variable has to be declared in a declaration statement.
5. An IfStmt evaluates a logical expression (Expr) as a condition. If the logical condition value
is true, then the StmtList in the Then-part are executed, otherwise they are not. An else part for
an IfSmt is optional. Therefore, If an Else-part is defined, the StmtList in the Else-part are
executed when the logical condition value is false.
6. A PrintStmt evaluates the list of expressions (ExprList), and prints their values in order from
left to right followed by a newline.
7. The ASSOP operator (=) in the AssignStmt assigns a value to.
SOFTWARE TOOL FOR TRANSLATING PSEUDOCODE TO A PROGRAMMING LANGUAGEIJCI JOURNAL
Pseudocode is an artificial and informal language that helps programmers to develop algorithms. In this
paper a software tool is described, for translating the pseudocode into a particular programming
language. This tool takes the pseudocode as input, compiles it and translates it to a concrete programming
language. The scope of the tool is very much wide as we can extend it to a universal programming tool
which produces any of the specified programming language from a given pseudocode. Here we present the
solution for translating the pseudocode to a programming language by implementing the stages of a
compiler
SOFTWARE TOOL FOR TRANSLATING PSEUDOCODE TO A PROGRAMMING LANGUAGEIJCI JOURNAL
Pseudocode is an artificial and informal language that helps programmers to develop algorithms. In this
paper a software tool is described, for translating the pseudocode into a particular programming
language. This tool takes the pseudocode as input, compiles it and translates it to a concrete programming
language. The scope of the tool is very much wide as we can extend it to a universal programming tool
which produces any of the specified programming language from a given pseudocode. Here we present the
solution for translating the pseudocode to a programming language by implementing the stages of a
compiler.
match the following attributes to the parts of a compilerstrips ou.pdfarpitaeron555
match the following attributes to the parts of a compiler
strips out the comments and whitespace
converts text into lexemes
generates an Abstrat Symbol Tree
recursive descent or table driven
uses BNF or EBNF definitions
a. lexer
b. parser
Solution
The Program and Portfolio Management Maturity Model is an effective tool for organizations to
decide quickly what PPM improvements they should make to enhance their organization\'s
ability to optimize investments, execute big changes and deliver value.
Overview
Key Findings
Real project, program and portfolio management, when operating at the level of well-integrated
practices, is the key enabler that allows organizations to identify and execute strategic change.
Any meaningful undertakings to enhance or evolve the program and portfolio management
(PPM) function must pay more than lip service to organizational structure, business model and
culture to have any chance of success.
Competitive pressures and changing market conditions are forcing organizations toward Level 3,
and most organizations still aren\'t ready to make the leap.
Recommendations
At any level of PPM maturity, focus first on helping the organization make well-informed
investment choices. This will improve the odds of project success more than any other factor.
For organizations that require enterprisewide change and capabilities, it is worth the effort to
pursue Level 4, where enterprise PPM practices are built.
Identify objectives for your enterprise, and use them to identify the most salient improvement
opportunities for your enterprise.
Meticulously manage the change involved in maturing/improving your PPM capabilities.
Analysis
Project/program/portfolio management office (PMO) leaders, program managers and portfolio
managers are frequently challenged by ineffective processes, lack of stakeholder engagement and
difficult-to-quantify value. 1 Part of the problem is failure to match their processes, people and
technology approaches to the maturity level of their organizations. 2
The Gartner Program and Portfolio Management (PPM) Maturity Model assessment is designed
to help PPM leaders understand best practices around large project management, as well as PPM
to handle delivery of strategic value. This model assumes that organizations progress through a
maturity curve and that each level of organizational maturity directly affects the level of
investment and types of PPM approaches organizations choose to adopt.
arsing
A parser is an algorithm that determines whether a given input string is in a language and, as a
side-effect, usually produces a parse tree for the input. There is a procedure for generating a
parser from a given context-free grammar.
Recursive-Descent Parsing
Recursive-descent parsing is one of the simplest parsing techniques that is used in practice.
Recursive-descent parsers are also called top-down parsers, since they construct the parse tree
top down (rather than bottom up).
The basic idea of recursive-descent par.
We have learnt that any computer system is made of hardware and software.
The hardware understands a language, which humans cannot understand. So we write programs in high-level language, which is easier for us to understand and remember.
These programs are then fed into a series of tools and OS components to get the desired code that can be used by the machine.
This is known as Language Processing System.
CS 280 Fall 2022 Programming Assignment 2 November.docxrichardnorman90310
CS 280
Fall 2022
Programming Assignment 2
November 3rd, 2022
Due Date: Sunday, November 20, 2022, 23:59
Total Points: 20
In this programming assignment, you will be building a parser for a simple programming language.
The syntax definitions of the small programming language are given below using EBNF notations.
Your implementation of a parser to the language is based on the following grammar rules specified
in EBNF notations.
1. Prog ::= PROGRAM IDENT StmtList END PROGRAM
2. StmtList ::= Stmt; { Stmt; }
3. Stmt ::= DeclStmt | ControlStmt
4. DeclStmt ::= ( INT | FLOAT | BOOL ) VarList
5. VarList ::= Var { ,Var }
6. ControlStmt ::= AssigStmt | IfStmt | PrintStmt
7. PrintStmt ::= PRINT (ExprList)
8. IfStmt ::= IF (Expr) THEN StmtList { ELSE StmtList } END IF
9. AssignStmt ::= Var = Expr
10. Var ::= IDENT
11. ExprList ::= Expr { , Expr }
12. Expr ::= LogORExpr ::= LogANDExpr { || LogANDRxpr }
13. LogANDExpr ::= EqualExpr { && EqualExpr }
14. EqualExpr ::= RelExpr [== RelExpr ]
15. RelExpr ::= AddExpr [ ( < | > ) AddExpr ]
16. AddExpr :: MultExpr { ( + | - ) MultExpr }
17. MultExpr ::= UnaryExpr { ( * | / ) UnaryExpr }
18. UnaryExpr ::= ( - | + | ! ) PrimaryExpr | PrimaryExpr
19. PrimaryExpr ::= IDENT | ICONST | RCONST | SCONST | BCONST | ( Expr )
The following points describe the programming language. Note that not all of these points will be
addressed in this assignment. However, they are listed in order to give you an understanding of the
language semantics and what to be considered for implementing an interpreter for the language in
Programming Assignment 3. These points are:
Table of Operators Precedence Levels
Precedence Operator Description Associativity
1 Unary +, -,
and !
Unary plus, minus, and
logical NOT
Right-to-Left
(ignored)
2 *, / Multiplication and
Division
Left-to-Right
3 +, - Addition and
Subtraction
Left-to-Right
4 <, > Relational operators <
and >
(no cascading)
5 == Equality operator (no cascading)
6 && Logical AND Left-to-Right
7 || Logical OR Left-to-Right
1. The language has three types: INT, FLOAT and BOOL.
2. The precedence rules of operators in the language are as shown in the table of operators
precedence levels.
3. The PLUS, MINUS, MULT, DIV, AND, OR operators are left associative.
4. A variable has to be declared in a declaration statement.
5. An IfStmt evaluates a logical expression (Expr) as a condition. If the logical condition value
is true, then the StmtList in the Then-part are executed, otherwise they are not. An else part for
an IfSmt is optional. Therefore, If an Else-part is defined, the StmtList in the Else-part are
executed when the logical condition value is false.
6. A PrintStmt evaluates the list of expressions (ExprList), and prints their values in order from
left to right followed by a newline.
7. The ASSOP operator (=) in the AssignStmt assigns a value to.
SOFTWARE TOOL FOR TRANSLATING PSEUDOCODE TO A PROGRAMMING LANGUAGEIJCI JOURNAL
Pseudocode is an artificial and informal language that helps programmers to develop algorithms. In this
paper a software tool is described, for translating the pseudocode into a particular programming
language. This tool takes the pseudocode as input, compiles it and translates it to a concrete programming
language. The scope of the tool is very much wide as we can extend it to a universal programming tool
which produces any of the specified programming language from a given pseudocode. Here we present the
solution for translating the pseudocode to a programming language by implementing the stages of a
compiler
SOFTWARE TOOL FOR TRANSLATING PSEUDOCODE TO A PROGRAMMING LANGUAGEIJCI JOURNAL
Pseudocode is an artificial and informal language that helps programmers to develop algorithms. In this
paper a software tool is described, for translating the pseudocode into a particular programming
language. This tool takes the pseudocode as input, compiles it and translates it to a concrete programming
language. The scope of the tool is very much wide as we can extend it to a universal programming tool
which produces any of the specified programming language from a given pseudocode. Here we present the
solution for translating the pseudocode to a programming language by implementing the stages of a
compiler.
Using recycled concrete aggregates (RCA) for pavements is crucial to achieving sustainability. Implementing RCA for new pavement can minimize carbon footprint, conserve natural resources, reduce harmful emissions, and lower life cycle costs. Compared to natural aggregate (NA), RCA pavement has fewer comprehensive studies and sustainability assessments.
A review on techniques and modelling methodologies used for checking electrom...nooriasukmaningtyas
The proper function of the integrated circuit (IC) in an inhibiting electromagnetic environment has always been a serious concern throughout the decades of revolution in the world of electronics, from disjunct devices to today’s integrated circuit technology, where billions of transistors are combined on a single chip. The automotive industry and smart vehicles in particular, are confronting design issues such as being prone to electromagnetic interference (EMI). Electronic control devices calculate incorrect outputs because of EMI and sensors give misleading values which can prove fatal in case of automotives. In this paper, the authors have non exhaustively tried to review research work concerned with the investigation of EMI in ICs and prediction of this EMI using various modelling methodologies and measurement setups.
ACEP Magazine edition 4th launched on 05.06.2024Rahul
This document provides information about the third edition of the magazine "Sthapatya" published by the Association of Civil Engineers (Practicing) Aurangabad. It includes messages from current and past presidents of ACEP, memories and photos from past ACEP events, information on life time achievement awards given by ACEP, and a technical article on concrete maintenance, repairs and strengthening. The document highlights activities of ACEP and provides a technical educational article for members.
KuberTENes Birthday Bash Guadalajara - K8sGPT first impressionsVictor Morales
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Online aptitude test management system project report.pdfKamal Acharya
The purpose of on-line aptitude test system is to take online test in an efficient manner and no time wasting for checking the paper. The main objective of on-line aptitude test system is to efficiently evaluate the candidate thoroughly through a fully automated system that not only saves lot of time but also gives fast results. For students they give papers according to their convenience and time and there is no need of using extra thing like paper, pen etc. This can be used in educational institutions as well as in corporate world. Can be used anywhere any time as it is a web based application (user Location doesn’t matter). No restriction that examiner has to be present when the candidate takes the test.
Every time when lecturers/professors need to conduct examinations they have to sit down think about the questions and then create a whole new set of questions for each and every exam. In some cases the professor may want to give an open book online exam that is the student can take the exam any time anywhere, but the student might have to answer the questions in a limited time period. The professor may want to change the sequence of questions for every student. The problem that a student has is whenever a date for the exam is declared the student has to take it and there is no way he can take it at some other time. This project will create an interface for the examiner to create and store questions in a repository. It will also create an interface for the student to take examinations at his convenience and the questions and/or exams may be timed. Thereby creating an application which can be used by examiners and examinee’s simultaneously.
Examination System is very useful for Teachers/Professors. As in the teaching profession, you are responsible for writing question papers. In the conventional method, you write the question paper on paper, keep question papers separate from answers and all this information you have to keep in a locker to avoid unauthorized access. Using the Examination System you can create a question paper and everything will be written to a single exam file in encrypted format. You can set the General and Administrator password to avoid unauthorized access to your question paper. Every time you start the examination, the program shuffles all the questions and selects them randomly from the database, which reduces the chances of memorizing the questions.
6th International Conference on Machine Learning & Applications (CMLA 2024)ClaraZara1
6th International Conference on Machine Learning & Applications (CMLA 2024) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of on Machine Learning & Applications.
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1. DR.B.C ROY ENGINEERING COLLEGE, DURGAPUR - 713206
DEPARTMENT OF COMPUTER SCIENCE & ENGINEERING
(AFFLITIATED TO MAULANA ABUL KALAM AZAD UNIVERSITY OF TECHNOLOGY)
CONTINUOUS ASSESSMENT : 2
REPORT
ON
ERROR RECOVERY
STRATEGIES FOR DIFFERENT PARSING TECHNIQUES
SUBMITTED BY:
PRIYANKA MANNA
ROLL NO: 12000121056
PAPER CODE : PCC-CS 501
PAPER NAME : COMPILER DESIGN
3. INTRODUCTION:
Parsing is known as Syntax Analysis. It contains arranging the tokens as
source code into gramma cal phases that are used by the compiler to
synthesis output generally gramma cal phases of the source code are
defined by parse tree. There are various types of parsing techniques .
A parser should be able to detect and report any error in the program.
It is expected that when an error is encountered, the parser should be
able to handle it and carry on parsing the rest of the input. Mostly it is
expected from the parser to check for errors but errors may be
encountered at various stages of the compilation process. A program
may have the following kinds of errors at various stages.
Lexical : name of some identifier typed incorrectly
Syntactical : missing semicolon or unbalanced
parenthesis
Semantical : incompatible value assignment
Logical : code not reachable, infinite loop
So, error handling is important for the correct execution of code.
4. ERROR RECOVERY FOR DIFFERENT PARSING
TECHNIQUES:
There are mainly five error recovery strategies, which are as follows
Panic mode
Phrase level recovery
Error production
Global correction
Symbol table
ERROR RECOVERY IN PREDICTIVE PARSING:
o PANIC-MODE :
Panic-mode error recovery says that all the input symbols
are skipped until a synchronizing token is found from the
string.
In this recovery method, we use FOLLOW symbols as
synchronizing tokens and the “synch” in the predictive
parsing table to indicate synchronizing tokens obtained
from the nonterminal’s FOLLOW sets.
The terminal symbols which lie in follow set of non-
terminal they can be used as a synchronizing token set for
that of non-terminal. In simple panic-mode error recovery
for the LL(1)parsing.
5. Selection of synchronizing set:
There are two ways of selecting synchronizing set:
1. Place all symbols in FOLLOW(A) into the synchronizing
set for nonterminal A. We can continue parsing until we
skip tokens of an element of FOLLOW(A) is seen and pop
it from the stack specifically.
We might add keywords that begin statements to the
synchronizing sets for the non-terminals generating
expressions.
2. If a nonterminal can generate the empty string, then
the production deriving ε can be used as a default. This
may produce some delay in error detection, but errors
cannot be missed. This approach reduces the number of
non-terminals that have to be considered during error
recovery.
PHRASE-LEVEL RECOVERY:
Phrase level recovery is implemented by filling in the
blank entries in the predictive parsing table with pointers
to error routines. At each unfilled entry in the parsing
table, it is filled by a pointer to a special error routine that
will take care of that error case specifically. These error
routines can be of different types like :
change, insert, or delete input symbols.
issue appropriate error messages.
pop items from the stack.
ERROR RECOVERY IN LR PARSING:
LR Parser Basically Uses the Mentioned Two Techniques to
Detect Errors:
1. Syntactic Phase recovery
2. Panic mode recovery
6. o SYNTACTIC PHASE RECOVERY:
Syntactic Phase Recovery Follows the Given Steps:
1.Programmer mistakes that call error procedures in the
parser table are determined based on the language.
2.Creating error procedures that can alter the top of the
stack and/or certain symbols on input in a way that is
acceptable for table error entries.
o PANIC-MODE :
This approach involves removing consecutive characters
from the input one by one until a set of synchronized
tokens is obtained. Delimiters such as or are synchronizing
tokens. The benefit is that it is simple to implement and
ensures that you do not end up in an infinite loop. The
drawback is that a significant quantity of data is skipped
without being checked for additional problems.
Panic mode recovery follows the given steps:
1. Scan the stack until you find a state ‘a’ with a goto() on a
certain non-terminal ‘B’ (by removing states from the
stack).
2. Until a symbol ‘b’ that can follow ‘B’ is identified, zero or
more input symbols are rejected.
ERROR RECOVERY IN OPERATOR PRECEDENCE
PARSING:
o PANIC MODE RECOVERY:
When a syntax error is detected, the parser enters a panic
mode by discarding input tokens until it finds a
synchronization point. In operator precedence parsing,
synchronization points are often tokens with lower
precedence or tokens that signal the end of an expression
(e.g., a semicolon).
7. Implementation:
Identify tokens that can serve as synchronization points for
your grammar and error recovery. When an error is
encountered, skip tokens until a synchronization point is found
and resume parsing from there.
o Phrase-Level Recovery:
Instead of skipping tokens, the parser can attempt to insert
or replace tokens to match the expected grammar
production. For example, if an operator is missing, the
parser can insert it or suggest it as an error correction.
Implementation:
Analyze the grammar rules and operator precedence levels
to determine which tokens or constructs are likely to be
missing or incorrect. When an error is detected, insert or
replace tokens accordingly and continue parsing.
8. CONCLUSION:
Error recovery strategies play a vital role in parsing techniques used
in programming language processing and compila on. These
strategies help parsers gracefully handle syntax errors in source code
and provide meaningful feedback to developers. The choice of error
recovery strategy depends on the parsing technique being used and
the language's specific requirements. Some common strategies
include panic mode, phrase-level recovery, backtracking, custom
error messages, and seman c ac ons.
Effec ve error recovery not only ensures that parsers can con nue
processing input despite errors but also aids in improving the overall
developer experience by providing clear and ac onable error
messages. Regardless of the parsing technique employed, a well-
designed error recovery mechanism contributes to more robust
compilers and interpreters, helping developers iden fy and correct
issues in their code efficiently.
9. REFERENCES:
h ps://www.geeksforgeeks.org/error-recovery-in-predic ve-
parsing/
h ps://www.geeksforgeeks.org/error-recovery-in-lr-parsing/
h ps://www.tutorialspoint.com/compiler_design/compiler
design_error_recovery.html
h ps://gtu-paper-solu on.com/Paper-Solu on/CompilerDesign-
2170701/Winter-2018/Ques on-2-b
h ps://edurev.in/t/248392/Error-detec on-Recovery-in-Compiler