초록

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Abstract ▼ AI-Helper

This paper presents the derivation and application of quality metric using control chart technique and weighted regression theory for statistical software quality control. Deviation of existing quality metric based on per LOC such as defects density, error density, and error rate are increased when...

This paper presents the derivation and application of quality metric using control chart technique and weighted regression theory for statistical software quality control. Deviation of existing quality metric based on per LOC such as defects density, error density, and error rate are increased when LOC is decreased. Therefore it cannot be an objective metric. This paper defines new quality metric QM. This new metric solves the problem of existing quality metric and D-value which is inconsistent with statistical theory. And it gives background of applicability to real project. The quality metric QM is more reasonable than existing quality metric. We analyzed a number of data which is relevant to quality in software development, and apply quality control to the results, and define software acceptance guideline by the use of QM. We demonstrate the superiority of QM after the application of published data.