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Stochastice Performance Logic is a formalism for capturing performance assumptions. It is, for example, possible to capture assumption that newer version of a function bar is faster than the previous version or that library foobar is faster than library barfoo when rendering antialiased text. The purpose of this framework is to allow evaluation of SPL formulas inside Java applications.

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package cz.cuni.mff.d3s.spl.formula;

/** Wrapping exception for a parsing error within a formula.
 *
 * Since formulas would be probably prepared by developers this is
 * an unchecked exception.
 */
public class FormulaParsingException extends RuntimeException {

	private static final long serialVersionUID = 1L;
	
	public FormulaParsingException(ParseException cause, String formula) {
		super(String.format("Parsing error in \"%s\" near %s (line %d, column %d).",
				getFirstCharacters(formula, 15),
				cause.currentToken.image,
				cause.currentToken.endLine,
				cause.currentToken.endColumn), cause);
	}
	
	public FormulaParsingException(TokenMgrError cause, String formula) {
		super(String.format("Lexical error in \"%s\" caused by \"%s\".",
				getFirstCharacters(formula, 15),
				cause.getMessage()), cause);
		
	}
	
	private static String getFirstCharacters(String input, int recommendedLength) {
		if (input.length() + 1 <= recommendedLength) {
			return input;
		} else {
			return input.substring(0, recommendedLength - 3) + "...";
		}
	}
}