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
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;
Conference_Titel :
Information Science and Applications (ICISA), 2013 International Conference on
Conference_Location :
Suwon
Print_ISBN :
978-1-4799-0602-4
DOI :
10.1109/ICISA.2013.6579462
