Simplify a function by lowering its cyclomatic complexity

This particular function is designed to determine whether a specific cell on a scrabble board qualifies as a double letter bonus spot. With a cyclomatic complexity of 23, it exceeds the recommended threshold of 20. Despite this, I am unsure of an alternative approach and believe this method is the most effective. Below is the implementation of the function:

checkDoubleLetterCell(row: number, column: number): boolean
{
    if((row === middle- 1 || row === middle + 1)
    && (column === middle - 1 || column === middle + 1)
    || (row === 0 || row == SCRABBLE_SIZE - 1 || row === middle) 
    && (column === middle + Math.round(middle/2) || column === middle - Math.round(middle/2))
    || (column === 0 || column === SCRABBLE_SIZE - 1 || column === middle)
    && (row === middle + Math.round(middle/2) || row === middle - Math.round(middle/2))
    || (column === middle + 1 || column === middle - 1)
    && (row === middle + Math.round(middle/2) + 1 || row === middle - Math.round(middle/2) - 1)
    || (row === middle + 1 || row === middle - 1)
    && (column === middle + Math.round(middle/2) + 1 || column === middle - Math.round(middle/2) - 1))
    {
        return true;
    }
    return false;
}

Answer №1

One effective approach is to store static information in a structured data format rather than embedding it directly within code. By utilizing a pre-initialized boolean matrix like dblScore to denote the positions of double letter squares, you can simplify your code:

checkDoubleLetterCell(row: number, column: number): boolean
{
    return dblScore[row,column]; 
}

Choosing the correct representation for static knowledge helps alleviate unnecessary complexity in your system. Remember: data is often a better choice for storing static information than procedural logic.

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