Fault Prediction Modeling for the Prediction of Number of Software Faults SpringerBriefs in Computer Science

Santosh Singh Rathore

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Fault Prediction Modeling for the Prediction of Number of Software Faults SpringerBriefs in Computer Science
1. Introduction1.1 Software Fault Prediction1.2 Software Fault Terminologies1.3 Advantages of Software Fault Prediction1.4 Contributions1.5 Summary1.6 References2. Prediction of the Number of Faults2.1 Introduction2.2 Architecture of Fault Prediction Process2.3 Components of Fault Prediction model2.4 Summary2.5 References3. Software Fault Datasets and Their Issues3.1 Introduction3.2 Repositories for Software Fault...

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Fault Prediction Modeling for the Prediction of Number of Software Faults SpringerBriefs in Computer Science
Fault Prediction Modeling for the Prediction of Number of...

Resumo

Fault Prediction Modeling for the Prediction of Number of Software Faults SpringerBriefs in Computer Science
1. Introduction
1.1 Software Fault Prediction
1.2 Software Fault Terminologies
1.3 Advantages of Software Fault Prediction
1.4 Contributions
1.5 Summary
1.6 References
2. Prediction of the Number of Faults
2.1 Introduction
2.2 Architecture of Fault Prediction Process
2.3 Components of Fault Prediction model
2.4 Summary
2.5 References
3. Software Fault Datasets and Their Issues
3.1 Introduction
3.2 Repositories for Software Fault Datasets
3.3 Fault Dataset Issues
3.4 Summary
3.5 References
4. Evaluation of techniques for the prediction of number of faults
4.1 Introduction
4.2 Technique Descriptions
4.3 Performance Measures
4.4 Results and Analysis
4.5 Summary
4.6 References
5. Ensemble Method for the prediction of Number of Faults
5.1 Introduction
5.2 Ensemble method
5.3 Performance Measures
5.4 Experimental Analysis
5.5 Discussion
5.6 Summary
5.7 References
6. Conclusions

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Encadernação: Capa Mole / Paperback
Tema: Software Engineering
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Editora

Springer

Idiomas

Inglês

Peso

0,0

Data de lançamento

12/04/2019

Colecção

Software Engineering

Série/Edição Limitada

1st ed. 2019

EAN

9789811371301

Publicidade
Publicidade