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J-GLOBAL ID:202102228877357214   Reference number:21A1425927

A Method to Visualize Log Files for Analyzing Unexpected Behavior of Web Applications

Webアプリケーションにおける異常動作を解析支援するログファイルの可視化手法の提案
Author (4):
Material:
Volume: 120  Issue: 423(KBSE2020 34-47)  Page: 7-12 (WEB ONLY)  Publication year: Feb. 26, 2021 
JST Material Number: U2030A  ISSN: 2432-6380  Document type: Proceedings
Article type: 原著論文  Country of issue: Japan (JPN)  Language: JAPANESE (JA)
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Semi thesaurus term:
Thesaurus term/Semi thesaurus term
Keywords indexed to the article.
All keywords is available on JDreamIII(charged).
On J-GLOBAL, this item will be available after more than half a year after the record posted. In addtion, medical articles require to login to MyJ-GLOBAL.

JST classification (2):
JST classification
Category name(code) classified by JST.
Computer utilization technology in general  ,  Computer system development 
Reference (14):
  • W3C.Mobile Web ApplicatMobile Web Application Best Plactices. https://www.w3.org/TR/mwabp/#webapp-defined, (accessed on 2021/02/08).
  • Diego Castro and Marcelo Schots. Analysis of test log information through interactive visualizations. In Proceedings of the 26th Conference on Program Comprehension, ICPC’18, pp. 156-166, New York, NY, USA, 2018.
  • Boyuan Chen and Zhen Ming (Jack) Jiang. Studying the use of java logging utilities in the wild. In Proceedings of the ACM/IEEE 42nd International Conference on Software Engineering, ICSE’20, pp.397-408, New York, NY, USA, 2020.
  • Jinhan Kim, et al. Automatic abnormal log detection by analyzing log history for providing debugging insight. In Proceedings of the ACM/IEEE 42nd International Conference on Software Engineering: Software Engineering in Practice, ICSE-SEIP ’20, pp. 71-80, New York, NY, USA, 2020.
  • elastic. Kibana:Explore,Visualize,Discover Data|Elastic. https://www.elastic.co/kibana, (accessed on 2021/01/29).
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