Abstract
This paper shows how composable scheduling knowledge can be elicited from existing scheduling systems at the knowledge level, which is a more abstract level than that of actual system implementation. We begin by defining the job assignment task as a class of target scheduling problems. As a result of a preliminary analysis of four scheduling expert systems described in the literature, three problem-solving patterns are obtained as abstract templates for component elicitation. We then describe how we investigated another two scheduling systems in collaboration with the engineers actually involved in the development, so that the components obtained can be validated not only by knowledge engineers but also by the system developers. Consequently, a total of eleven problem-solving components are identified, and their reusability is demonstrated.
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