Fault Localization in Server-Side Applications Using Spectrum-Based Fault Localization

Yoshitomo Sha, Masataka Nagura, Shingo Takada

研究成果: Conference contribution

抄録

Today's software has a very complex structure with multiple components, making it difficult to identify the cause of a fault. The process of identifying the cause of a fault may include referring to the logs from the system if they exist. But large and complex systems may generate a huge amount of logs, making the task of finding the important log messages to be a tedious task. In the case of systems that require continuous operation, the cause of faults must be identified quickly in an efficient manner. In this paper, we propose a method that identifies the log messages that are key for finding faults in server-side applications that has a tiered structure, such as LAMP (Linux, Apache, MySQL, PHP), and outputs logs (including traces during operation). The key part of our proposed approach is the application of Spectrum-Based Fault Localization (SBFL) to log files.

本文言語English
ホスト出版物のタイトルProceedings - 2022 IEEE International Conference on Software Analysis, Evolution and Reengineering, SANER 2022
出版社Institute of Electrical and Electronics Engineers Inc.
ページ1139-1146
ページ数8
ISBN(電子版)9781665437868
DOI
出版ステータスPublished - 2022
イベント29th IEEE International Conference on Software Analysis, Evolution and Reengineering, SANER 2022 - Virtual, Online, United States
継続期間: 2022 3月 152022 3月 18

出版物シリーズ

名前Proceedings - 2022 IEEE International Conference on Software Analysis, Evolution and Reengineering, SANER 2022

Conference

Conference29th IEEE International Conference on Software Analysis, Evolution and Reengineering, SANER 2022
国/地域United States
CityVirtual, Online
Period22/3/1522/3/18

ASJC Scopus subject areas

  • ソフトウェア
  • 安全性、リスク、信頼性、品質管理

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