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A Study of Software Optimal Release Time for Based on Superposition NHPP Model

중첩 NHPP 모형에 근거한 소프트웨어 최적방출시기에 관한 연구

  • 김희철 (남서울대학교 산업경영공학과)
  • Received : 2010.07.22
  • Accepted : 2010.09.03
  • Published : 2010.09.30

Abstract

Decision problem called an optimal release policies, after testing a software system in development phase and transfer it to the user, is studied. The applied model of release time exploited infinite non-homogeneous Poisson process. This infinite non-homogeneous Poisson process is a model which reflects the possibility of introducing new faults when correcting or modifying the software. The failure life-cycle distribution used superposition which has various intensity, if the system is complicated. Thus, software release policies which minimize a total average software cost of development and maintenance under the constraint of satisfying a software reliability requirement becomes an optimal release policies. In a numerical example, after trend test applied and estimated the parameters using maximum likelihood estimation of inter-failure time data, estimated software optimal release time. Through this study, in terms of superposition model and simply model, the optimal time to using superposition model release the software developer to determine how much could count will help.

Keywords

Acknowledgement

Supported by : 남서울대학교

References

  1. Gokhale, S. S. and Trivedi, K. S. "A time / structure based software reliability model," Annals of Software Engineering.8, 1999, pp. 85-121.
  2. 김희철, "지수화 지수 분포에 의존한 NHPP 소프트웨어 신뢰성장 모형에 관한 연구," 한국 컴퓨터 정보학회 논문지, 제11권 5호, 2006, pp. 9-18.
  3. Yang, B. and Xie. M, "A study of operational and testing reliability in software reliability analysis," RELIABILITY ENGINEERING & SYSTEM SAFETY, Vol. 70, 2000, pp. 323-329. https://doi.org/10.1016/S0951-8320(00)00069-7
  4. Huang, C. Y, "Cost-Reliability-optimal release policy for software reliability models incorporating improvements in testing efficiency," The journal of Systems and software, Vol. 77, 2005, pp. 139-155 https://doi.org/10.1016/j.jss.2004.10.014
  5. 김희철, "극값 분포 특성을 가진 소프트웨어 신뢰성 보증 모형에 관한 연구," 한국 통신학회 논문지, 34권6호, 2009, pp. 623-629.
  6. Lawless, J. F, "Statistical Models and Methods for Lifetime Data," John Wiley & Sons, New York, 1981.
  7. Kuo, L. and Yang, T. Y, "Bayesian Computation of Software Reliability," Journal of the American Statistical Association, Vol. 91, 1996, pp. 763-777.
  8. 김희철, 신현철 "중첩커버리지 함수를 고려한 ENHPP 소프트웨어 신뢰성장 모형에 관한 연구," 정보, 보안 논문지, 제7권3호, 2007, pp. 7-13.
  9. 김도훈, 남경현, "중첩 NHPP를 이용한 소프트웨어 신뢰도 평가 모형 연구," 품질경영학회지, 제36권 1호, 2008, pp. 89-95.
  10. 김재욱, 김희철 "일반화 감마분포에 근거한 소프트웨어 최적방출시기에 관한 연구," 디지털산업정보학회논문지, 제6권 1호, 2010, pp. 55-67.
  11. 김희철, 박형근 "강도함수 특성에 근거한 소프트웨어 최적 방출시기에 관한 비교 연구," 한국 산학기술 학회 논문지, 제11권4호, 2010, pp. 1239-1247.
  12. 이상식, 김희철 "혼합 와이블 NHPP 모형에 근거한 소프트웨어 최적방출시기에 관한 연구," 디지털산업정보학회논문지, 제6권 2호, 2010, pp. 183-191.
  13. Xie, M. and Homg, G. Y, "Software release time determination based on unbound NHPP model," Proceeding of the 24th International Conference on Computers and Industrial Engineering, 1996, pp. 165-168.
  14. K. Kanoun, J. C. Laprie "Handbook of Software Reliability Engineering," M. R. Lyu, Editor, chapter Trend Analysis, McGraw-Hill New York, NY, 1996, pp. 401-437.