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Predicting Component Failures Using Latent Dirichlet Allocation
Joint Authors
Liu, Hailin
Xu, Ling
Yang, Mengning
Yan, Meng
Zhang, Xiaohong
Source
Mathematical Problems in Engineering
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-15, 15 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-07-29
Country of Publication
Egypt
No. of Pages
15
Main Subjects
Abstract EN
Latent Dirichlet Allocation (LDA) is a statistical topic model that has been widely used to abstract semantic information from software source code.
Failure refers to an observable error in the program behavior.
This work investigates whether semantic information and failures recorded in the history can be used to predict component failures.
We use LDA to abstract topics from source code and a new metric (topic failure density) is proposed by mapping failures to these topics.
Exploring the basic information of topics from neighboring versions of a system, we obtain a similarity matrix.
Multiply the Topic Failure Density (TFD) by the similarity matrix to get the TFD of the next version.
The prediction results achieve an average 77.8% agreement with the real failures by considering the top 3 and last 3 components descending ordered by the number of failures.
We use the Spearman coefficient to measure the statistical correlation between the actual and estimated failure rate.
The validation results range from 0.5342 to 0.8337 which beats the similar method.
It suggests that our predictor based on similarity of topics does a fine job of component failure prediction.
American Psychological Association (APA)
Liu, Hailin& Xu, Ling& Yang, Mengning& Yan, Meng& Zhang, Xiaohong. 2015. Predicting Component Failures Using Latent Dirichlet Allocation. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-15.
https://search.emarefa.net/detail/BIM-1074143
Modern Language Association (MLA)
Liu, Hailin…[et al.]. Predicting Component Failures Using Latent Dirichlet Allocation. Mathematical Problems in Engineering No. 2015 (2015), pp.1-15.
https://search.emarefa.net/detail/BIM-1074143
American Medical Association (AMA)
Liu, Hailin& Xu, Ling& Yang, Mengning& Yan, Meng& Zhang, Xiaohong. Predicting Component Failures Using Latent Dirichlet Allocation. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-15.
https://search.emarefa.net/detail/BIM-1074143
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1074143