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System Development & Application
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App. Res. of Comp. Printed Article
Vol. 37, 2020 No. 9
2758-2761

Research on improving Simulink fault detection performance using search model

Tan Chenghong1
Lu Xuesong2
1. Tongda College of Nanjing University of Posts & Telecommunications, Nanjing 225127, China
2. School of Information Engineering, Yangzhou University, Yangzhou Jiangsu 225009, China
DOI: 10.19734/j.issn.1001-3695.2019.03.0154

Abstract

In view of the high cost of manually testing Oracle and running test cases in many ways, this paper proposed a search and prediction model based on search to improve the failure detection performance of Simulink model. It identified three test objectives witch designed to increase the diversity of test suite, and these targets were used in search based algorithm to generate smaller and diverse test suite. In order to further realize the minimization of test suite, it developed a prediction model. When adding test cases couldn′t improve the performance of fault detection, the model would stop the generation of test cases. The proposed methods were evaluated from three aspects. The results show that the selected three test targets can significantly improve the fault detection accuracy of the smaller test suite. This prediction model can maintain almost the same accuracy of fault detection while reducing the average number of new test cases by more than half.

Foundation Support

国家自然科学基金青年项目(61503281)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2019.03.0154
Publish at: Application Research of Computers Printed Article, Vol. 37, 2020 No. 9
Section: System Development & Application
Pages: 2758-2761
Serial Number: 1001-3695(2020)09-039-2758-04

Publish History

[2020-09-05] Printed Article

Cite This Article

谭程宏, 卢雪松. 利用搜索模型提升Simulink故障探测性能的方法研究 [J]. 计算机应用研究, 2020, 37 (9): 2758-2761. (Tan Chenghong, Lu Xuesong. Research on improving Simulink fault detection performance using search model [J]. Application Research of Computers, 2020, 37 (9): 2758-2761. )

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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