Abstract: Optimized execution order results (e.g., from a Rete algorithm graph) are correlated with a production ordering selected by a user, thereby more accurately modeling the user's understanding of how productions relate to one another during execution in a rule system. An execution report shows in the user-selected order for each of the rules, whether the rule was executed, the inputs matched to partial conditions of the rule, and partial condition evaluation results. User rule management experience is also enhanced in other ways. For example, a graphical user interface permits user selection of a schema xpath, bulk selection of XML schema nodes to define vocabulary used in rules, if-then-else rules, rules with embedded SQL, marking rules as active or not, receiving multiple kinds of input from a single text input box, locally executing rules, importing rules authored elsewhere, iterating over a collection of objects, and validating rules against vocabulary data types.

Abstract: Optimized execution order results (e.g., from a Rete algorithm graph) are correlated with a production ordering selected by a user, thereby more accurately modeling the user's understanding of how productions relate to one another during execution in a rule system. An execution report shows in the user-selected order for each of the rules, whether the rule was executed, the inputs matched to partial conditions of the rule, and partial condition evaluation results. User rule management experience is also enhanced in other ways. For example, a graphical user interface permits user selection of a schema xpath, bulk selection of XML schema nodes to define vocabulary used in rules, if-then-else rules, rules with embedded SQL, marking rules as active or not, receiving multiple kinds of input from a single text input box, locally executing rules, importing rules authored elsewhere, iterating over a collection of objects, and validating rules against vocabulary data types.