Abstract: Recently, machine learning classifiers have emerged as a way to predict the existence of a bug in a change made to a source code file.
This paper proposes a feature selection technique applicable to classification-based bug prediction. This technique is applied to predict bugs in software ...
Jun 26, 2012 · This paper investigates multiple feature selection techniques that are generally applicable to classification-based bug prediction methods. The ...
Abstract—Recently, machine learning classifiers have emerged as a way,to predict the existence of a bug in a change made to a source code file.
Reducing Features to Improve Code Change-Based Bug Prediction
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This paper investigates multiple feature selection techniques that are generally applicable to classification-based bug prediction methods.
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A survey on Reducing Features to Improve Bug. Prediction by Using Cos-triage Algorithm. Veena Jadhav, Prof. Vandana Gaikwad. Computer Engineering Department ...
In this paper we used two techniques first, cos-triage algorithm which have a go to enhance the accuracy and also lower the price of bug prediction and second, ...
This paper investigates multiple feature selection techniques that are generally applicable to classification-based bug prediction methods. The techniques ...
This paper investigates multiple feature selection techniques that are generally applicable to classification-based bug prediction methods and finds Naive ...
Dec 9, 2022 · In this paper six feature reduction techniques have been employed on five software bug datasets of AEEEM software repository in association with ...