DocumentCode
2894158
Title
Comparison of Extraction Methods for Bug Tracking System Analysis
Author
Yongsoo Yuk ; Woosung Jung
Author_Institution
Dept. of Comput. Eng., Chungbuk Nat. Univ., Cheongju, South Korea
fYear
2013
fDate
24-26 June 2013
Firstpage
1
Lastpage
2
Abstract
There have been various bug tracking systems for software development. However, it´s difficult to obtain useful information from those systems since they are composed of web pages. In this paper, we propose two ways of extracting raw data by parsing the bug report pages and refining them. Our future work is to categorize bugs and interesting patterns automatically by analyzing the extracted data from the bug repositories.
Keywords
Web sites; feature extraction; program compilers; program debugging; software engineering; Web pages; automatic pattern categorization; bug report page parsing; bug report page refining; bug repositories; bug tracking system analysis; data analysis; extraction methods; raw data extraction; software development; Accuracy; Data mining; Databases; HTML; Software; Web pages; XML;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Science and Applications (ICISA), 2013 International Conference on
Conference_Location
Suwon
Print_ISBN
978-1-4799-0602-4
Type
conf
DOI
10.1109/ICISA.2013.6579462
Filename
6579462
Link To Document