NL repository
menu
검색
Library
Browse
Communities & Collections
By Date
Authors
Titles
Subject
My Repository
My Account
Receive email updates
Edit Profile
DSpace at EWHA
인공지능대학
컴퓨터공학과
Journal papers
View : 592 Download: 0
A grouping-based strategy to improve the effectiveness of fault localization techniques
Title
A grouping-based strategy to improve the effectiveness of fault localization techniques
Authors
Debroy V.
;
Wong W.E.
;
Xu X.
;
Choi B.
Ewha Authors
최병주
SCOPUS Author ID
최병주
Issue Date
2010
Journal Title
Proceedings - International Conference on Quality Software
ISSN
1550-6002
Citation
Proceedings - International Conference on Quality Software, pp. 13 - 22
Indexed
SCOPUS
Document Type
Conference Paper
Abstract
Fault localization is one of the most expensive activities of program debugging, which is why the recent years have witnessed the development of many different fault localization techniques. This paper proposes a groupingbased strategy that can be applied to various techniques in order to boost their fault localization effectiveness. The applicability of the strategy is assessed over - Tarantula and a Radial Basis Function neural network-based technique; across three different sets of programs (the Siemens suite, grep and gzip). Results are suggestive that the grouping-based strategy is capable of significantly improving the fault localization effectiveness and is not limited to any particular fault localization technique. The proposed strategy does not require any additional information than what was already collected as input to the fault localization technique, and does not require the technique to be modified in any way. © 2010 IEEE.
DOI
10.1109/QSIC.2010.80
ISBN
9780769541310
Appears in Collections:
인공지능대학
>
컴퓨터공학과
>
Journal papers
Files in This Item:
There are no files associated with this item.
Export
RIS (EndNote)
XLS (Excel)
XML
Show full item record
Find@EWHA
트윗하기
BROWSE
Communities & Collections
By Date
Authors
Titles
Subject