DocumentCode :
3776097
Title :
An improved bug localization using structured information retrieval and version history
Author :
Shanto Rahman;Kishan Kumar Ganguly;Kazi Sakib
Author_Institution :
Institute of Information Techology, University of Dhaka, Dhaka, Bangladesh
fYear :
2015
Firstpage :
190
Lastpage :
195
Abstract :
Locating buggy files is a time consuming and challenging task because defects can deflate from a large variety of sources. So, researchers proposed several automated bug localization techniques where the accuracy can be improved. In this paper, an information retrieval based bug localization technique has been proposed, where buggy files are identified by measuring the similarity between bug report and source code. Besides this, source code structure and frequently changed files are also incorporated to produce a better rank for buggy files. To evaluate the proposed approach, a large-scale experiment on three open source projects, namely SWT, ZXing and Guava has been conducted. The result shows that the proposed approach improves 7% in terms of Mean Reciprocal Rank (MRR) and about 8% for Mean Average Precision (MAP) compared to existing techniques.
Keywords :
"Computer bugs","Mathematical model","Software","Information retrieval","History","Semantics","Electronic mail"
Publisher :
ieee
Conference_Titel :
Computer and Information Technology (ICCIT), 2015 18th International Conference on
Type :
conf
DOI :
10.1109/ICCITechn.2015.7488066
Filename :
7488066
Link To Document :
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