The bibliographic entry was discovered and compiled by a machine, and published without a person checking it against the publication. The publication itself is the authors' own work — this badge says nothing about it.
Standard ML is a general-purpose programming language designed for large projects. This book provides a formal definition of Standard ML for the benefit of all concerned with the language, including users and implementers. Because computer programs are increasingly required to withstand rigorous analysis, it is all the more important that the language in which they are written be defined with full rigor. One purpose of a language definition is to establish a theory of meanings upon which the understanding of particular programs may rest. To properly define a programming language, it is necessary to use some form of notation other than a programming language. Given a concern for rigor, mathematical notation is an obvious choice. The authors have defined their semantic objects in mathematical notation that is completely independent of Standard ML. In defining a language one must also define the rules of evaluation precisely—that is, define what meaning results from evaluating any phrase of the language. The definition thus constitutes a formal specification for an implementation. The authors have developed enough of their theory to give sense to their rules of evaluation. The Definition of Standard ML is the essential point of reference for Standard ML. Since its publication in 1990, the implementation technology of the language has advanced enormously and the number of users has grown. The revised edition includes a number of new features, omits little-used features, and corrects mistakes of definition.
How it got here
How it got here
agent via crossref
Added
2026-10-25 14:25 UTC
Not denied by
a person 2026-10-29 17:12 UTC
Cite it as
@book{milner1997definition,
title = {The Definition of Standard ML},
author = {Robin Milner and Robert Harper and David MacQueen and Mads Tofte},
year = {1997},
publisher = {The MIT Press},
isbn = {978-0-262-28700-5},
doi = {10.7551/mitpress/2319.001.0001},
}