Performance Analysis of Machine Learning Techniques on Software Defect Prediction using NASA Datasets

Defect prediction at early stages of software development life cycle is a crucial activity of quality assurance process and has been broadly studied in the last two decades. The early prediction of defective modules in developing software can help the development team to utilize the available resour...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	International journal of advanced computer science & applications 2019, Vol.10 (5)
Hauptverfasser:	Iqbal, Ahmed, Aftab, Shabib, Ali, Umair, Nawaz, Zahid, Sana, Laraib, Ahmad, Munir, Husen, Arif
Format:	Artikel
Sprache:	eng
Schlagworte:	Classification Datasets Decision trees Defects Machine learning Modules Multilayer perceptrons Multilayers Prediction models Quality assurance Radial basis function Software development Software quality Support vector machines
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!