An efficient ensemble learning approach for software defects prediction
Mahnoor Habib (191405002)
An efficient ensemble learning approach for software defects prediction - Faisalabad (unpublished) 2021 - xiv, 70 p : ill. ; 30 cm.
Submitted in fulfillment of the requirements for the degree of Master of Science in Computer Science to the Faculty of Computing. Includes bibliographical references. Thesis supervisor:Dr.Umer Iqbal
Thesis (MS)--Riphah International University,2021
English
Software defects
Machine learning--Black box--National Aeronautics--Common techniques--Decision table--Decision tree--FC
004 / MAH
An efficient ensemble learning approach for software defects prediction - Faisalabad (unpublished) 2021 - xiv, 70 p : ill. ; 30 cm.
Submitted in fulfillment of the requirements for the degree of Master of Science in Computer Science to the Faculty of Computing. Includes bibliographical references. Thesis supervisor:Dr.Umer Iqbal
Thesis (MS)--Riphah International University,2021
English
Software defects
Machine learning--Black box--National Aeronautics--Common techniques--Decision table--Decision tree--FC
004 / MAH