Software reliability assessment tool based on fault data clustering and hazard rate model considering cloud computing with big data
Yoshinobu Tamuraa, Shigeru Yamadab
- aYamaguchi University, Ube-shi, Yamaguchi, Japan
- bTottori University, Tottori-shi, Japan
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Abstract
Considering the software reliability of cloud computing, it is important for the software managers to assess the relationship between the database software and cloud software, because the cloud software collaborate closely with the database software by using the internet network. In this paper, we propose a method of software reliability assessment based on the fault data clustering in cloud computing environment with big data. We perform a cluster analysis for the software fault data by using k-means clustering. Also, we propose the hazard rate model by using the results of cluster analysis. Moreover, we develop the software reliability assessment tool based on the hazard rate model considering the cloud computing with big data.
TL;DRThis paper proposes a method of software reliability assessment based on the fault data clustering in cloud computing environment with big data, and performs a cluster analysis for the software fault data by using k-means clustering. (Semantic Scholar)