Fault Prediction Modeling for the Prediction of Number of Software Faults
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ISBN-13:
9789811371301
Veröffentl:
2019
Einband:
Paperback
Erscheinungsdatum:
12.04.2019
Seiten:
92
Autor:
Sandeep Kumar
Gewicht:
154 g
Format:
235x155x6 mm
Serie:
SpringerBriefs in Computer Science
Sprache:
Englisch
Beschreibung:
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 their effectiveness. This book focuses on the prediction of number of faults in software modules, and provides readers with essential insights into the generalized architecture, different techniques, and state-of-the art literature. In addition, it covers various software fault datasets and issues that crop up when predicting number of faults.
Illustrates the process of number of fault prediction
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.
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