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App. Res. of Comp. Printed Article
Vol. 40, 2023 No. 4
961-966

Review of root cause analysis research

Cheng Yana
Wang Leia
Zhao Xiaoyonga,b
a. Information Systems Institute, b. Beijing Advanced Innovation Center for Materials Genome Engineering, Beijing Information Science & Technology University, Beijing 100129, China
DOI: 10.19734/j.issn.1001-3695.2022.07.0450

Abstract

As a key problem and hub link between problem discovery and problem solving, the current research on root cause analysis mainly includes two types of methods: data-driven and causality-driven. In view of the advantages of data-driven methods in narrowing the range of root causes, at present, root cause research mainly focusses on data-driven methods such as association rule mining, heuristic search, machine learning and deep learning. There are few root cause analysis from the perspective of causal knowledge, nor has it been based on method dimension. The inductive analysis of the root cause is carried out, and there is a lack of relevant research results. Therefore, this paper sorted out and summarized the main results of root cause analysis in recent years, analysed the differences and advantages of root cause analysis under different method dimensions, and proposed a root cause analysis method that integrated causal knowledge, and combined asymmetric Shapley value with causal chain diagram to improve the accuracy of root cause analysis. Finally, the existing research difficulties and development trends put forward meaningful future research directions.

Foundation Support

国家重点研发计划资助项目(2019YFB1705402)
教育部人文社科规划基金资助项目(20YJAZH129)
北京市教育委员会社科计划重点项目(SZ202011232024)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2022.07.0450
Publish at: Application Research of Computers Printed Article, Vol. 40, 2023 No. 4
Section: Survey
Pages: 961-966
Serial Number: 1001-3695(2023)04-001-0961-06

Publish History

[2022-11-14] Accepted Paper
[2023-04-05] Printed Article

Cite This Article

程燕, 王磊, 赵晓永. 根因分析研究综述 [J]. 计算机应用研究, 2023, 40 (4): 961-966. (Cheng Yan, Wang Lei, Zhao Xiaoyong. Review of root cause analysis research [J]. Application Research of Computers, 2023, 40 (4): 961-966. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

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