Existing fault localization approaches usually do not provide a context for developers to understand the problem. Thus, this paper proposes a novel approach using the dynamic backward slicing technique to enrich contexts for existing approaches. Our empirical results show that our approach significantly outperforms five state-of-the-art fault localization techniques.
Zhuo ZHANG
National University of Defense Technology
Xiaoguang MAO
National University of Defense Technology
Yan LEI
National University of Defense Technology
Peng ZHANG
National University of Defense Technology
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Zhuo ZHANG, Xiaoguang MAO, Yan LEI, Peng ZHANG, "Enriching Contextual Information for Fault Localization" in IEICE TRANSACTIONS on Information,
vol. E97-D, no. 6, pp. 1652-1655, June 2014, doi: 10.1587/transinf.E97.D.1652.
Abstract: Existing fault localization approaches usually do not provide a context for developers to understand the problem. Thus, this paper proposes a novel approach using the dynamic backward slicing technique to enrich contexts for existing approaches. Our empirical results show that our approach significantly outperforms five state-of-the-art fault localization techniques.
URL: https://globals.ieice.org/en_transactions/information/10.1587/transinf.E97.D.1652/_p
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@ARTICLE{e97-d_6_1652,
author={Zhuo ZHANG, Xiaoguang MAO, Yan LEI, Peng ZHANG, },
journal={IEICE TRANSACTIONS on Information},
title={Enriching Contextual Information for Fault Localization},
year={2014},
volume={E97-D},
number={6},
pages={1652-1655},
abstract={Existing fault localization approaches usually do not provide a context for developers to understand the problem. Thus, this paper proposes a novel approach using the dynamic backward slicing technique to enrich contexts for existing approaches. Our empirical results show that our approach significantly outperforms five state-of-the-art fault localization techniques.},
keywords={},
doi={10.1587/transinf.E97.D.1652},
ISSN={1745-1361},
month={June},}
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TY - JOUR
TI - Enriching Contextual Information for Fault Localization
T2 - IEICE TRANSACTIONS on Information
SP - 1652
EP - 1655
AU - Zhuo ZHANG
AU - Xiaoguang MAO
AU - Yan LEI
AU - Peng ZHANG
PY - 2014
DO - 10.1587/transinf.E97.D.1652
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E97-D
IS - 6
JA - IEICE TRANSACTIONS on Information
Y1 - June 2014
AB - Existing fault localization approaches usually do not provide a context for developers to understand the problem. Thus, this paper proposes a novel approach using the dynamic backward slicing technique to enrich contexts for existing approaches. Our empirical results show that our approach significantly outperforms five state-of-the-art fault localization techniques.
ER -