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

ISSN (Online): 2455-4723



Notice Board :

Call for Paper
Vol. 11 Issue 3

Submission Start Date:
March 1, 2025

Acceptence Notification Start:
March 10, 2025

Submission End:
March 15, 2025

Final MenuScript Due:
March 25, 2025

Publication Date:
March 31, 2025


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                         Notice Board: Call for PaperVol. 11 Issue 3      Submission Start Date: March 1, 2025      Acceptence Notification Start: March 10, 2025      Submission End: March 15, 2025      Final MenuScript Due: March 25, 2025      Publication Date: March 31, 2025




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