International Journal for Rapid Research in Engineering Technology & Applied Science Beta

ISSN (Online): 2455-4723



Notice Board :

Call for Paper
Vol. 10 Issue 7

Submission Start Date:
July 1, 2024

Acceptence Notification Start:
July 10, 2024

Submission End:
July 15, 2024

Final MenuScript Due:
July 25, 2024

Publication Date:
July 31, 2024


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                         Notice Board: Call for PaperVol. 10 Issue 7      Submission Start Date: July 1, 2024      Acceptence Notification Start: July 10, 2024      Submission End: July 15, 2024      Final MenuScript Due: July 25, 2024      Publication Date: July 31, 2024




Volume II Issue X

Paper Title
Design And Implementation Of Hybrid Approach For Improved Software Fault Prediction
Author Name
Ankita Bajpai, Prof.Pritesh Jain
Year Of Publication
2016
Volume and Issue
Volume 2 Issue 10
Abstract
The fault prediction approach contribution help throughout the software development by given that recourse to the present faults with the Bayesian nosiness.Machine learning classifiers have appeared as a method to predict the continuation of fault in the software. The classifier is primary trained on software narration data and then used to predict fault. The proposed system in excess ofcome the problem of possibledeficiency in accuracy for realistic use and use of a huge number of features. This paper suggests a feature selection technique appropriate to classification-based fault prediction. This approach is applied to predict faults in software codes and concert of Naive Bayes and Support Vector Machine (SVM) classifiers.
PaperID
2016/IJRRETAS/11/2016/14610