National Repository of Grey Literature 6 records found  Search took 0.00 seconds. 
Detection and Error Recovery for Syntactic Analysis
Sák, Vladimír ; Dolíhal, Luděk (referee) ; Zámečníková, Eva (advisor)
Bachelor's thesis deals with error detection and recovery for syntactic analysis. The main goal of work was to design and implement a method for error detection and recovery. The proposed method is based on the Hartmann method for error detection and error recovery. The user interface, using cross-platform framework Qt was also implemented. As a result, the application prints all of the information about errors while parsing the source code.
Advanced Error Recovery during Top-Down Parsing
Obluková, Alena ; Kolář, Dušan (referee) ; Meduna, Alexandr (advisor)
Parser is one of the most important parts in compiler since Syntax-Directed Translation is often used. This approach means that parser controls semantic actions and generation of syntax tree. When the input contains an error, parser cannot continue and the whole compiler has to stop. Therefore, it is important to have parser with error recovery, so when error occurs parser is able to continue. There are several error-recovery strategies and methods. In this paper is described Acceptable-sets derived from continuations specifically continuation in LL parsers. However it is not so well known method it is easy to explain and to implement. It can be used in the lesson to demonstrate error recovery in top-down parser.
Advanced Error Recovery during Bottom-Up Parsing
Regéciová, Dominika ; Kolář, Dušan (referee) ; Meduna, Alexandr (advisor)
This bachelor thesis deals with advanced methods for error recovery during bottom-up parsing. It describes and compares methods with the modified grammar FUN. It creates a web-based interface, Project Alan, where chosen methods are implemented for the simulation of error recovery process. The author also added her own method and she compared it with others.
Advanced Error Recovery during Bottom-Up Parsing
Regéciová, Dominika ; Kolář, Dušan (referee) ; Meduna, Alexandr (advisor)
This bachelor thesis deals with advanced methods for error recovery during bottom-up parsing. It describes and compares methods with the modified grammar FUN. It creates a web-based interface, Project Alan, where chosen methods are implemented for the simulation of error recovery process. The author also added her own method and she compared it with others.
Detection and Error Recovery for Syntactic Analysis
Sák, Vladimír ; Dolíhal, Luděk (referee) ; Zámečníková, Eva (advisor)
Bachelor's thesis deals with error detection and recovery for syntactic analysis. The main goal of work was to design and implement a method for error detection and recovery. The proposed method is based on the Hartmann method for error detection and error recovery. The user interface, using cross-platform framework Qt was also implemented. As a result, the application prints all of the information about errors while parsing the source code.
Advanced Error Recovery during Top-Down Parsing
Obluková, Alena ; Kolář, Dušan (referee) ; Meduna, Alexandr (advisor)
Parser is one of the most important parts in compiler since Syntax-Directed Translation is often used. This approach means that parser controls semantic actions and generation of syntax tree. When the input contains an error, parser cannot continue and the whole compiler has to stop. Therefore, it is important to have parser with error recovery, so when error occurs parser is able to continue. There are several error-recovery strategies and methods. In this paper is described Acceptable-sets derived from continuations specifically continuation in LL parsers. However it is not so well known method it is easy to explain and to implement. It can be used in the lesson to demonstrate error recovery in top-down parser.

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