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Many enterprises use several expert system shells to develop production-rule-based expert system applications. Each shell has its own production-rule language (and inferencing capabilities). Knowledge engineers are often burdened with understanding several production-rule languages to support the enterprise's expert system applications. This article examines the syntactic similarities and differences in the production-rule languages from five expert system shells. The authors have developed a composite, or canonical, production-rule syntax for the languages, which provides knowledge engineers with a common language for defining production rules. Similarities and differences in the capabilities provided by each production-rule language show when information can, or cannot, be reused in different expert system shells. The reuse of individual syntax components is tracked as a measure of the amount of similarity between the languages. The similarities and differences constrain the features of the composite syntax that can be used for a target shell, and limit sharing of production-rule information.