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Tracking down Exceptions in Standard ML Programs Manuel Fahndrich Jeffrey S. Foster Alexander Aiken Jason Cu
 

Summary: Tracking down Exceptions in Standard ML Programs
Manuel F¨ahndrich Jeffrey S. Foster Alexander Aiken Jason Cu
Report No. UCB/CSD­98­996
February 1998
Computer Science Division (EECS)
University of California
Berkeley, California 94720

Tracking down Exceptions in Standard ML Programs
Manuel F¨ahndrich \Lambda Jeffrey S. Foster y Alexander Aiken y Jason Cu
EECS Department
University of California, Berkeley
Berkeley, CA 94720­1776
fmanuel, jfoster, aikeng@cs.berkeley.edu
(510)­642­6509
Abstract
We describe our experiences with an exception anal­
ysis tool for Standard ML. Information about excep­
tions gathered by the analysis is visualized using pam,
a program visualization tool for emacs. We study the

  

Source: Aiken, Alex - Department of Computer Science, Stanford University

 

Collections: Computer Technologies and Information Sciences