Title: Improving bug report quality by predicting correct component in bug reports

Authors: Indu Chawla; Sandeep Kumar Singh

Addresses: Computer Science and Information Technology Department, Jaypee Institute of Information Technology, A-10, Sector-62, Noida 201 309, Uttar Pradesh, India ' Computer Science and Information Technology Department, Jaypee Institute of Information Technology, A-10, Sector-62, Noida 201 309, Uttar Pradesh, India

Abstract: Bugs reported in bug tracking systems contain important information in the form of standard and mandatory fields like version, operating system, product, component and type of the bug, etc. Unfortunately, the information provided in these fields is sometimes missing and inaccurate. Inaccurate information makes the program understanding difficult and inflicts delay in the process of bug fixing. Many times, these fields are reassigned during the bug fixing time even more than ones. This study explores the automatic identification of correct component field in a bug report. This study proposes using fuzzy similarity-based approach for identifying the correct component as well as predicting the possibility of component reassignment. Experimentation is done using bug reports of three open source projects from eclipse. The experimental results show that fuzzy similarity approach performs better as compared to state of art approaches on two out of three datasets in terms of precision score.

Keywords: bug tracking system; bug report; component prediction; component reassignment.

DOI: 10.1504/IJCISTUDIES.2019.098020

International Journal of Computational Intelligence Studies, 2019 Vol.8 No.1/2, pp.143 - 157

Received: 21 Feb 2018
Accepted: 25 Sep 2018
Published online: 26 Feb 2019 *

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