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Fault Prediction Modeling for the Prediction of Number of Software Faults

Part of the SpringerBriefs in Computer Science Book Series

DOI: 10.1007/978-981-13-7131-8

ISBN: 978-981-13-7130-1

Publisher: Springer Singapore - Springer Journals

Apr 4, 2019

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Introduction

Rathore, Santosh Singh; Kumar, Sandeep

Pages: 1 –9

[In today’s world, software is the key element for the functionality of almost all engineered and automated systems. Due to this evolution, reliability and quality of software systems become crucial for the successful functioning of day-to-day operations.]
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Techniques Used for the Prediction of Number of Faults

Rathore, Santosh Singh; Kumar, Sandeep

Pages: 11 –29

[PredictionPredictionofTechniques number of faultsFaults refers to the process of estimating/predicting a potential number of faults that can occur in each given software module [41]. A software module can be a class for object-oriented software, file for traditional software or any other...
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Homogeneous Ensemble Methods for the Prediction of Number of Faults

Rathore, Santosh Singh; Kumar, Sandeep

Pages: 31 –45

[Software testing isHomogeneous ensemble methods intended to find bugs/faultsFaults that can occur in the software components currently under development. Software fault predictionSoftware Fault Prediction (SFP) (SFP) helps in achieving this goal by predicting the probability of fault occurrence...
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Linear Rule Based Ensemble Methods for the Prediction of Number of Faults

Rathore, Santosh Singh; Kumar, Sandeep

Pages: 47 –58

[Software fault predictionLinear rule based ensemble methodsmodelsSoftware Fault Prediction (SFP) are highly influenced by the use of learning techniquesTechniques and characteristics of fault datasetsDataset.]
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Nonlinear Rule Based Ensemble Methods for the Prediction of Number of Faults

Rathore, Santosh Singh; Kumar, Sandeep

Pages: 59 –69

[InNonlinear rule based ensemble methodstheLinear rule based ensemble methods previous chapter, we explored the use of linear rule based ensemble methodsEnsemble methods for the number of faultsFaultspredictionPrediction. In that work, we used four different ensemble methods, each of them...
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Conclusions

Rathore, Santosh Singh; Kumar, Sandeep

Pages: 71 –73

[This chapter concludes the book. The book primarily aimed to present fault predictionPrediction modeling for the prediction of number of faultsFaults in software systems. It covered details of regression and ensemble methodsEnsemble methods used for the prediction of number of faults. Further,...

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