Earticle

초록

영어

The data quality in information systems affects system robustness significantly. Although a large body of research focuses on the issue of data quality, seldom has literature been done to develop effective control policies to manage system robustness associated with data errors. A process-oriented methodology is proposed to manage system robustness measured by performance, control cost and control time, which is achieved through establishing formal model of information systems and mathematical optimization models of system robustness. The proposed methodology captures how structural and functional characteristics of tasks affect system robustness and finds the optimal control policies, which facilitates the robustness-based design and management of information systems respectively. The methodology is illustrated in the case study.

목차

Abstract
 1. Introduction
 2. Literature Review
  2.1. Data Quality and Data Errors
  2.2. Business Process Modeling
  2.3. Robustness
 3. Formal Model for Information Systems
  3.1. Business Process Modeling 
  3.2. Error Propagation
 4. Robustness Optimization of Information Systems
  4.1. Control Effectiveness
  4.2. Robustness Measures
  4.3. Robustness Optimization Models
 5. Case Study
  5.1. Parameter Estimation
  5.2. Numerical Results and Analyses
 6. Conclusions
 Appendix
 Acknowledgements
 References

키워드

저자

• Zhiting Song [ South China University of Technology NO.381 Wushan Road, Guangzhou, Guangdong, China ] Corresponding author
• Yanming Sun [ South China University of Technology NO.381 Wushan Road, Guangzhou, Guangdong, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Hybrid Information Technology

• 간기

  격월간

• pISSN

  1738-9968

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605