Bug Triage with Bug Data Reduction

Authors

  • Yogita Dhole Department of Computer Science Engineering, Institute of Technology and Management, Gwalior, M.P., India
  • Sara Anjum Department of Computer Science Engineering, Institute of Technology and Management, Gwalior, M.P., India

DOI:

https://doi.org/10.37591/joadms.v2i3.498

Keywords:

Bug, Bug triage, Data reduction, Instance selection

Abstract

The process of fixing bug is bug triage, which aims to correctly assign a developer to a new bug. Software companies spend most of their cost in dealing with these bugs. To reduce time and cost of bug triaging, we present an automatic approach to predict a developer with relevant experience to solve the new coming report. In proposed approach we are doing data reduction on bug data set which will reduce the scale of the data as well as increase the quality of the data. We are using instance selection and feature selection simultaneously with historical bug data. We have added a new module here which will describe the status of the bug like whether it assigned to any developer or not and it is rectified or not.

Cite this Article
Yogita Dhole, Sara Anjum. Bug Triage with Bug Data Reduction. Journal of
Advanced Database Management & Systems. 2015; 2(3): 1–4p.

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Published

2015-10-17

Issue

Vol. 2 No. 3 (2015)

Section

Research Articles

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