A Type System for Tom

Computer Science – Logic in Computer Science

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

Scientific paper

10.4204/EPTCS.21.5

Extending a given language with new dedicated features is a general and quite used approach to make the programming language more adapted to problems. Being closer to the application, this leads to less programming flaws and easier maintenance. But of course one would still like to perform program analysis on these kinds of extended languages, in particular type checking and inference. In this case one has to make the typing of the extended features compatible with the ones in the starting language. The Tom programming language is a typical example of such a situation as it consists of an extension of Java that adds pattern matching, more particularly associative pattern matching, and reduction strategies. This paper presents a type system with subtyping for Tom, that is compatible with Java's type system, and that performs both type checking and type inference. We propose an algorithm that checks if all patterns of a Tom program are well-typed. In addition, we propose an algorithm based on equality and subtyping constraints that infers types of variables occurring in a pattern. Both algorithms are exemplified and the proposed type system is showed to be sound and complete.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

A Type System for Tom does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with A Type System for Tom, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and A Type System for Tom will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-555882

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.