Transformational programming is a relatively new programming technique intended to derive complex algorithms automatically. Initially, a set of transformational rules is described, and an initial specification of the problem to be programmed is given. The specification is written in a high-level language in a fairly compact form possibly ignoring efficiency. A number of versions, called transformations, are created by successively applying the transformational rules starting with the initial specification. As an example of the application of this technique to a fairly complex case, a transformational derivation of a variant of a known efficient garbage collection and compaction algorithm from an initial very high-level specification is given. Currently, the techniques are still being developed, and therefore the transformations are derived manually. However, most of the transformations done are of a technical nature and could eventually be automated.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.