The Impact of Information Richness on Fault Localization

Yan LEI; Min ZHANG; Bixin LI; Jingan REN; Yinhua JIANG

doi:10.1587/transinf.2015EDL8152

The Impact of Information Richness on Fault Localization

Yan LEI, Min ZHANG, Bixin LI, Jingan REN, Yinhua JIANG

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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

fault localization, automated debugging, information richness, experimental study

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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

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@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},}

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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 -