Improving the Effectiveness of Fault Localization Techniques Using Fuzzy Expert System
碩士 === 國立嘉義大學 === 資訊工程學系研究所 === 107 === Software debugging includes the following steps: locating the fault, determining the root cause, designing and implementing the code fix. Locating faults genereally takes a lot of time. In the literature, many spectrum-based fault localization (SFL) techniques...
Main Authors: | Wen-Yuan Chen, 陳玟瑗 |
---|---|
Other Authors: | Lin, Chu-Ti |
Format: | Others |
Language: | zh-TW |
Published: |
2018
|
Online Access: | http://ndltd.ncl.edu.tw/handle/wv6f4a |
Similar Items
-
A Framework for Improving Fault Localization Effectiveness Based on Fuzzy Expert System
by: Chu-Ti Lin, et al.
Published: (2021-01-01) -
An expert system for fuzzy fault tree application and fault
by: Liao Wei Ming, et al.
Published: (1993) -
The fault diagosis fuzzy expert system on an injection molding machine
by: ZHOU GING, et al.
Published: (1996) -
Evaluation of a fuzzy-expert system for fault diagnosis in power systems
by: Park, Min Young
Published: (2001) -
Design of a fuzzy expert system for locating distribution system faults
by: JIAN,YI, et al.
Published: (1990)