| 摘要 |
<p>Methods for fixing and analyzing experiment design information, a machine-accessible medium, and a data processing computer system are provided to automate design, execution, and analysis of experiment design-based learning for a data processing system, and correctly point an experiment model for executing an experiment technique. A generator generates a set of structured experiment state inputs having the experiment design information to a graphic window of a display part of the data processing system. A configuration table generator generates a configuration table having entries for the inputs selected from the inputs displayed in the graphic window. A selector selects one from the set to correct the configuration table. The configuration table is displayed together with the set of the structured experiment state inputs. The configuration table generator includes a tool for enabling a user to select one among a plurality of experiment techniques.</p> |
