IEICE TRANSACTIONS on Communications
Reducing the Inaccuracy Caused by Inappropriate Time Window in Probabilistic Fault Localization
Summary :
To reduce the inaccuracy caused by inappropriate time window, we propose two probabilistic fault localization schemes based on the idea of "extending time window." The global window extension algorithm (GWE) uses a window extension strategy for all candidate faults, while the on-demand window extension algorithm (OWE) uses the extended window only for a small set of faults when necessary. Both algorithms can increase the metric values of actual faults and thus improve the accuracy of fault localization. Simulation results show that both schemes perform better than existing algorithms. Furthermore, OWE performs better than GWE at the cost of a bit more computing time.
- Publication
- IEICE TRANSACTIONS on Communications Vol.E94-B No.1 pp.128-138
- Publication Date
- 2011/01/01
- Publicized
- Online ISSN
- 1745-1345
- DOI
- 10.1587/transcom.E94.B.128
- Type of Manuscript
- PAPER
- Category
- Network Management/Operation
Authors
Keyword
Latest Issue
Copyrights notice of machine-translated contents
The copyright of the original papers published on this site belongs to IEICE. Unauthorized use of the original or translated papers is prohibited. See IEICE Provisions on Copyright for details.
Cite this
Copy
Jianxin LIAO, Cheng ZHANG, Tonghong LI, Xiaomin ZHU, "Reducing the Inaccuracy Caused by Inappropriate Time Window in Probabilistic Fault Localization" in IEICE TRANSACTIONS on Communications,
vol. E94-B, no. 1, pp. 128-138, January 2011, doi: 10.1587/transcom.E94.B.128.
Abstract: To reduce the inaccuracy caused by inappropriate time window, we propose two probabilistic fault localization schemes based on the idea of "extending time window." The global window extension algorithm (GWE) uses a window extension strategy for all candidate faults, while the on-demand window extension algorithm (OWE) uses the extended window only for a small set of faults when necessary. Both algorithms can increase the metric values of actual faults and thus improve the accuracy of fault localization. Simulation results show that both schemes perform better than existing algorithms. Furthermore, OWE performs better than GWE at the cost of a bit more computing time.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.E94.B.128/_p
Copy
@ARTICLE{e94-b_1_128,
author={Jianxin LIAO, Cheng ZHANG, Tonghong LI, Xiaomin ZHU, },
journal={IEICE TRANSACTIONS on Communications},
title={Reducing the Inaccuracy Caused by Inappropriate Time Window in Probabilistic Fault Localization},
year={2011},
volume={E94-B},
number={1},
pages={128-138},
abstract={To reduce the inaccuracy caused by inappropriate time window, we propose two probabilistic fault localization schemes based on the idea of "extending time window." The global window extension algorithm (GWE) uses a window extension strategy for all candidate faults, while the on-demand window extension algorithm (OWE) uses the extended window only for a small set of faults when necessary. Both algorithms can increase the metric values of actual faults and thus improve the accuracy of fault localization. Simulation results show that both schemes perform better than existing algorithms. Furthermore, OWE performs better than GWE at the cost of a bit more computing time.},
keywords={},
doi={10.1587/transcom.E94.B.128},
ISSN={1745-1345},
month={January},}
Copy
TY - JOUR
TI - Reducing the Inaccuracy Caused by Inappropriate Time Window in Probabilistic Fault Localization
T2 - IEICE TRANSACTIONS on Communications
SP - 128
EP - 138
AU - Jianxin LIAO
AU - Cheng ZHANG
AU - Tonghong LI
AU - Xiaomin ZHU
PY - 2011
DO - 10.1587/transcom.E94.B.128
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E94-B
IS - 1
JA - IEICE TRANSACTIONS on Communications
Y1 - January 2011
AB - To reduce the inaccuracy caused by inappropriate time window, we propose two probabilistic fault localization schemes based on the idea of "extending time window." The global window extension algorithm (GWE) uses a window extension strategy for all candidate faults, while the on-demand window extension algorithm (OWE) uses the extended window only for a small set of faults when necessary. Both algorithms can increase the metric values of actual faults and thus improve the accuracy of fault localization. Simulation results show that both schemes perform better than existing algorithms. Furthermore, OWE performs better than GWE at the cost of a bit more computing time.
ER -
English
