brainstorm.md

Key Features for MVP

Grammar Management:

• Input and validate context-free grammar
• Convert grammar to proper format (eliminate left recursion, left factoring for LL(1))
• Calculate FIRST and FOLLOW sets (essential for LL(1))

Parser Generation:

• Construct LR(0) items and canonical collection
• Build LR(0) parsing table with actions and go-to functions
• Generate LL(1) parsing table

Parsing Simulation:

• Step-by-step simulation of the parsing process
• Display current stack, input, and actions at each step
• Show derivations and reductions as they occur

Basic Visualization:

• Text-based representation of automaton states
• Visual representation of parse tables
• Simple trace of parsing steps

Workflow

1. Grammar Input Phase:
   • User enters grammar rules
   • System validates grammar format
   • System processes grammar (left recursion elimination, etc.)
2. Parser Generation Phase:
   • User selects parser type (LR(0) or LL(1))
   • System generates appropriate sets and tables
   • System displays the generated tables
3. Parsing Simulation Phase:
   • User enters an input string
   • User can step through the parsing process
   • System shows each step of the parsing process
   • System indicates acceptance or rejection of the input

Architecture

Core Components:

1. Grammar Module:
   • Grammar representation
   • Grammar validation
   • Grammar transformation algorithms
2. Analysis Module:
   • FIRST/FOLLOW set calculation
   • Item set construction
   • Closure algorithms
3. Table Construction Module:
   • LL(1) table generator
   • LR(0) table generator
   • Conflict detection and reporting
4. Parsing Engine:
   • Stack-based parser implementation for both types
   • Step-by-step execution logic
   • Error detection
5. User Interface:
   • Grammar input interface
   • Table visualization
   • Parsing simulation controls and display## Key Features for MVP

Grammar Management:

• Input and validate context-free grammar
• Convert grammar to proper format (eliminate left recursion, left factoring for LL(1))
• Calculate FIRST and FOLLOW sets (essential for LL(1))

Parser Generation:

• Construct LR(0) items and canonical collection
• Build LR(0) parsing table with actions and go-to functions
• Generate LL(1) parsing table

Parsing Simulation:

• Step-by-step simulation of the parsing process
• Display current stack, input, and actions at each step
• Show derivations and reductions as they occur

Basic Visualization:

• Text-based representation of automaton states
• Visual representation of parse tables
• Simple trace of parsing steps

Workflow

1. Grammar Input Phase:
   • User enters grammar rules
   • System validates grammar format
   • System processes grammar (left recursion elimination, etc.)
2. Parser Generation Phase:
   • User selects parser type (LR(0) or LL(1))
   • System generates appropriate sets and tables
   • System displays the generated tables
3. Parsing Simulation Phase:
   • User enters an input string
   • User can step through the parsing process
   • System shows each step of the parsing process
   • System indicates acceptance or rejection of the input

Architecture

Core Components:

1. Grammar Module:
   • Grammar representation
   • Grammar validation
   • Grammar transformation algorithms
2. Analysis Module:
   • FIRST/FOLLOW set calculation
   • Item set construction
   • Closure algorithms
3. Table Construction Module:
   • LL(1) table generator
   • LR(0) table generator
   • Conflict detection and reporting
4. Parsing Engine:
   • Stack-based parser implementation for both types
   • Step-by-step execution logic
   • Error detection
5. User Interface:
   • Grammar input interface
   • Table visualization
   • Parsing simulation controls and display