IEICE TRANSACTIONS on Information
The Impact of Information Richness on Fault Localization
Summary :
Many recent studies have focused on leveraging rich information types to increase useful information for improving fault localization effectiveness. However, they rarely investigate the impact of information richness on fault localization to give guidance on how to enrich information for improving localization effectiveness. This paper presents the first systematic study to fill this void. Our study chooses four representative information types and investigates the relationship between their richness and the localization effectiveness. The results show that information richness related to frequency execution count involves a high risk of degrading the localization effectiveness, and backward slice is effective in improving localization effectiveness.
- Publication
- IEICE TRANSACTIONS on Information Vol.E99-D No.1 pp.265-269
- Publication Date
- 2016/01/01
- Publicized
- 2015/10/14
- Online ISSN
- 1745-1361
- DOI
- 10.1587/transinf.2015EDL8152
- Type of Manuscript
- LETTER
- Category
- Software Engineering
Authors
Yan LEI
Logistical Engineering University
Min ZHANG
Logistical Engineering University
Bixin LI
Logistical Engineering University
Jingan REN
Logistical Engineering University
Yinhua JIANG
Logistical Engineering University
Keyword
Latest Issue
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Yan LEI, Min ZHANG, Bixin LI, Jingan REN, Yinhua JIANG, "The Impact of Information Richness on Fault Localization" in IEICE TRANSACTIONS on Information,
vol. E99-D, no. 1, pp. 265-269, January 2016, doi: 10.1587/transinf.2015EDL8152.
Abstract: Many recent studies have focused on leveraging rich information types to increase useful information for improving fault localization effectiveness. However, they rarely investigate the impact of information richness on fault localization to give guidance on how to enrich information for improving localization effectiveness. This paper presents the first systematic study to fill this void. Our study chooses four representative information types and investigates the relationship between their richness and the localization effectiveness. The results show that information richness related to frequency execution count involves a high risk of degrading the localization effectiveness, and backward slice is effective in improving localization effectiveness.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.2015EDL8152/_p
Copy
@ARTICLE{e99-d_1_265,
author={Yan LEI, Min ZHANG, Bixin LI, Jingan REN, Yinhua JIANG, },
journal={IEICE TRANSACTIONS on Information},
title={The Impact of Information Richness on Fault Localization},
year={2016},
volume={E99-D},
number={1},
pages={265-269},
abstract={Many recent studies have focused on leveraging rich information types to increase useful information for improving fault localization effectiveness. However, they rarely investigate the impact of information richness on fault localization to give guidance on how to enrich information for improving localization effectiveness. This paper presents the first systematic study to fill this void. Our study chooses four representative information types and investigates the relationship between their richness and the localization effectiveness. The results show that information richness related to frequency execution count involves a high risk of degrading the localization effectiveness, and backward slice is effective in improving localization effectiveness.},
keywords={},
doi={10.1587/transinf.2015EDL8152},
ISSN={1745-1361},
month={January},}
Copy
TY - JOUR
TI - The Impact of Information Richness on Fault Localization
T2 - IEICE TRANSACTIONS on Information
SP - 265
EP - 269
AU - Yan LEI
AU - Min ZHANG
AU - Bixin LI
AU - Jingan REN
AU - Yinhua JIANG
PY - 2016
DO - 10.1587/transinf.2015EDL8152
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E99-D
IS - 1
JA - IEICE TRANSACTIONS on Information
Y1 - January 2016
AB - Many recent studies have focused on leveraging rich information types to increase useful information for improving fault localization effectiveness. However, they rarely investigate the impact of information richness on fault localization to give guidance on how to enrich information for improving localization effectiveness. This paper presents the first systematic study to fill this void. Our study chooses four representative information types and investigates the relationship between their richness and the localization effectiveness. The results show that information richness related to frequency execution count involves a high risk of degrading the localization effectiveness, and backward slice is effective in improving localization effectiveness.
ER -
English
