Readable computer documentation

Abstract

A retrospective look shows earlier advice still relevant to both predicting and producing readable writing. For prediction, refined readability formulas with stronger criterion passages and updated familiar -word lists have appeared, although the computerization of readability tests sometimes encourages misapplying or misinterpreting them when screening text. For production, attention to sentence construction, word characteristics, and information density remains relevant to both drafting and revising computer documentation for readability, especially since reading speed and reader preference often interact with comprehension in practical settings.