目視評価と判別モデルを組み合わせたfault-proneモジュールのランク付け手法

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  • An Approach for Prioritizing Fault-prone Modules by Combining Manual Inspection and Discriminant Model

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Abstract

This paper proposes an approach for prioritizing modules by their fault-proneness for acceptance test. The approach combines results of a fault-prone discriminant model and inspection by developers. First, the approach ranks modules by fault-proneness according to a discriminant model. Then, modules included in the top α are inspected with questions. To evaluate the effectiveness of the approach, we conducted a case study with commercial software. In the case study, manual inspection is combined with fault-proneness by a discriminant model, size of each module and random. The accuracies are compared by the values of area under the curve of Alberg diagram with five α values. The result shows all accuracies are increased by combining inspection in three trials. In the case study, the accuracy is largest by the combination of fault-prone discriminant model and manual inspection.

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