Software Technology Research
|
App. Res. of Comp. Printed Article
Vol. 39, 2022 No. 12
3724-3729

Research on utility quantification of reliability growth model for imperfect debugging software

Zhang Ce1
Sun Zhichao1
Wang Jinyong2
Yuan Yufei3
Sheng Sheng4
Lyu Weigong1
1. School of Computer Science & Technology, Harbin Institute of Technology, Weihai Shandong 264209, China
2. School of Automation & Software Engineering, Shanxi University, Taiyuan 030006, China
3. Dept. of Computer Science, University of Copenhagen, Copenhagen 21004, Denmark
4. Shenzhen Huantai Technology Co. , Ltd. , Shenzhen Guangdong 518063, China
DOI: 10.19734/j.issn.1001-3695.2022.05.0221

Abstract

In order to further improve the fitting and prediction performance of the existing non-homogeneous Poisson process class software reliability growth models, this paper first conducted an in-depth study of imperfect fault exclusion models from the perspective of the total number of faults growth trend. Considering the linear and differential relationships between the total number of faults function and the cumulative detected faults function, it proposed two general imperfect fault exclusion framework models, and derived the expressions of the cumulative detected faults and the total number of faults function in software. Secondly, this paper compared the performance of the proposed two general imperfect debugging models and the six imperfect debugging models on six real failure datasets for fitting prediction performance. The results of the case validation show that the proposed general imperfect debugging framework model has excellent fitting and prediction performance on most of the failure datasets, which proves the effectiveness and practicality of the new modeling framework. Again, through the in-depth analysis of the performance of the proposed model and other imperfect debugging models on the datasets this paper puts forward some suggestions for the selection of imperfect debugging models in practical applications.

Foundation Support

国家自然科学基金资助项目(61473097)
山东省自然科学基金面上项目(ZR2021MF067)
山西省基础研究计划资助项目(201801D121120)
威海市科技发展计划资助项目(ITEAZMZ001807)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2022.05.0221
Publish at: Application Research of Computers Printed Article, Vol. 39, 2022 No. 12
Section: Software Technology Research
Pages: 3724-3729
Serial Number: 1001-3695(2022)12-031-3724-06

Publish History

[2022-07-19] Accepted Paper
[2022-12-05] Printed Article

Cite This Article

张策, 孙智超, 王金勇, 等. 不完美排错软件可靠性增长模型效用量化研究 [J]. 计算机应用研究, 2022, 39 (12): 3724-3729. (Zhang Ce, Sun Zhichao, Wang Jinyong, et al. Research on utility quantification of reliability growth model for imperfect debugging software [J]. Application Research of Computers, 2022, 39 (12): 3724-3729. )

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.

Indexed & Evaluation

  • The Second National Periodical Award 100 Key Journals
  • Double Effect Journal of China Journal Formation
  • the Core Journal of China (Peking University 2023 Edition)
  • the Core Journal for Science
  • Chinese Science Citation Database (CSCD) Source Journals
  • RCCSE Chinese Core Academic Journals
  • Journal of China Computer Federation
  • 2020-2022 The World Journal Clout Index (WJCI) Report of Scientific and Technological Periodicals
  • Full-text Source Journal of China Science and Technology Periodicals Database
  • Source Journal of China Academic Journals Comprehensive Evaluation Database
  • Source Journals of China Academic Journals (CD-ROM Version), China Journal Network
  • 2017-2019 China Outstanding Academic Journals with International Influence (Natural Science and Engineering Technology)
  • Source Journal of Top Academic Papers (F5000) Program of China's Excellent Science and Technology Journals
  • Source Journal of China Engineering Technology Electronic Information Network and Electronic Technology Literature Database
  • Source Journal of British Science Digest (INSPEC)
  • Japan Science and Technology Agency (JST) Source Journal
  • Russian Journal of Abstracts (AJ, VINITI) Source Journals
  • Full-text Journal of EBSCO, USA
  • Cambridge Scientific Abstracts (Natural Sciences) (CSA(NS)) core journals
  • Poland Copernicus Index (IC)
  • Ulrichsweb (USA)