نموذج تصحيح الأخطاء النحوية التلقائي

Automated Syntax Error Correction Model

• A significant portion of software development time is spent correcting errors.
• A new model automates syntax error correction.
• This is the first formal and realistic model of its kind.
• The model defines and formally analyzes errors.
• It models a systematic error-correction process.
• The process corrects clusters of errors using contextual information.
• Local corrections avoid conflicts between different changes.
• The error-correction process integrates into standard left-to-right syntax checking.

Error Correction Process

• The approach leverages the language recognizer.
• It uses two modes: standard for syntax checking, and an error correction mode.
• Standard mode performs syntax checking at the same speed as without error correction.
• The error correction mode has two phases:
  • Backward move: Locates the left context of the error cluster.
  • Forward move: Locates the right context and finds possible corrections.
• The process is efficient for left-to-right checking.

Practical Implementation and Limitations

• The formal model is not practical for conventional context-free programming language descriptions.
• A notion of "bracketed context-free language" is introduced.
• This is proposed as a more practical syntax model for programming languages.
• Heuristics to restrict errors corrected are discussed.
• This can simplify the process.
• Examples include corrections only when other possibilities are exhausted, and ignoring deep nesting errors where a mistake is detected.