Fault Prediction Modeling for the Prediction of Number of Software Faults

• Main Authors: Rathore, Santosh Singh (Author, http://id.loc.gov/vocabulary/relators/aut), Kumar, Sandeep (http://id.loc.gov/vocabulary/relators/aut)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Singapore : Springer Singapore : Imprint: Springer, 2019.
• Edition: 1st ed. 2019.
• Series: SpringerBriefs in Computer Science,
• Subjects: Software engineering.; Computer industry.; Software Engineering.; The Computer Industry.

This book addresses software faults-a critical issue that not only reduces the quality of software, but also increases their development costs. Various models for predicting the fault-proneness of software systems have been proposed; however, most of them provide inadequate information, limiting the...

Table of Contents:

• Introduction
• Techniques used for the Prediction of Number of Faults
• Homogeneous Ensemble Methods for the Prediction of Number of Faults
• Linear Rule based Ensemble Methods for the prediction of Number of Faults
• Non-Linear Rule based Ensemble Methods for the prediction of Number of Faults
• Conclusions.