Analysis of Bug Triage using Data Preprocessing (Reduction) Techniques

Analysis of Bug Triage using Data Preprocessing (Reduction) Techniques

In the bug triage we have an unavoidable step of fixing the bugs which helps in correctly assigning a developer to a new bug. Text classification and binary classification techniques are applied to decrease the time cost in manual work and to enhance the working of automatic bug triage. We address the problem of data reduction and hence we combine the instance selection and the feature selectio...

Analysis of Bug Triage using Data Preprocessing (Reduction) Techniques

In the bug triage we have an unavoidable step of fixing the bugs which helps in correctly assigning a developer to a new bug. Text classification and binary classification techniques are applied to decrease the time cost in manual work and to enhance the working of automatic bug triage. We address the problem of data reduction and hence we combine the instance selection and the feature selectio...

Towards Bug Triage with Software Data Reduction Technique

Improved Approach for Predicting the Bug Triage Using Data Reduction Methods

Most of the software companies need to deal with vast number of software bugs day to day. This paper can be viewed as an application of instance selection and feature selection in bug repositories. The aim is to address the problem of data reduction for bug triage, and to reduce the scale and improve the quality of bug data. This can be achieved by combining instance selection with feature sele...

Automatic bug triage using text categorization

Bug triage, deciding what to do with an incoming bug report, is taking up increasing amount of developer resources in large open-source projects. In this paper, we propose to apply machine learning techniques to assist in bug triage by using text categorization to predict the developer that should work on the bug based on the bug’s description. We demonstrate our approach on a collection of 15,...