Methodological Assessment of Data Suitability for Defect Prediction

Peter Schlegel, Daniel Buschmann, Max Ellerich, Robert H. Schmitt

Methodological Assessment of Data Suitability for Defect Prediction

Číslo: 2/2020
Periodikum: Quality Innovation Prosperity
DOI: 10.12776/qip.v24i2.1443

Klíčová slova: predictive quality; defect prediction; failure prediction; data suitability; data quality

Pro získání musíte mít účet v Citace PRO.

Přečíst po přihlášení

Anotace: Purpose: This paper provides a domain specific concept to assess data suitability of various data sources along the production chain for defect prediction.Zobrazit více »