지수형과 로그형 위험함수 학습효과에 근거한 NHPP 소프트웨어 신뢰성장모형에 관한 비교연구
The Comparative Study of NHPP Software Reliability Model Exponential and Log Shaped Type Hazard Function from the Perspective of Learning Effects
2
조회
0
다운로드
5
인용
0
참고문헌
키워드
초록
In this study, software products developed in the course of testing, software managers in the process of testing software test and test tools for effective learning effects perspective has been studied using the NHPP software. The finite failure nonhomogeneous Poisson process models presented and the life distribution applied exponential and log shaped type hazard function. Software error detection techniques known in advance, but influencing factors for considering the errors found automatically and learning factors, by prior experience, to find precisely the error factor setting up the testing manager are presented comparing the problem. As a result, the learning factor is greater than autonomous errorsdetected factor that is generally efficient model could be confirmed. This paper, a failure data analysis of applying using time between failures and parameter estimation using maximum likelihood estimation method, after the efficiency of the data through trend analysis model selection were efficient using the mean square error and coefficient of determination.
Abstract
In this study, software products developed in the course of testing, software managers in the process of testing software test and test tools for effective learning effects perspective has been studied using the NHPP software. The finite failure nonhomogeneous Poisson process models presented and the life distribution applied exponential and log shaped type hazard function. Software error detection techniques known in advance, but influencing factors for considering the errors found automatically and learning factors, by prior experience, to find precisely the error factor setting up the testing manager are presented comparing the problem. As a result, the learning factor is greater than autonomous errorsdetected factor that is generally efficient model could be confirmed. This paper, a failure data analysis of applying using time between failures and parameter estimation using maximum likelihood estimation method, after the efficiency of the data through trend analysis model selection were efficient using the mean square error and coefficient of determination.
참고문헌 (15)
- Gokhale, S. S., "A time", structure based software reliability model, 1999, pp.8, 85~121
- Goel AL, "Timedependent fault detection rate model for software and other performance measures", IEEE Trans Reliab, 28, pp.20611~ (1978)
- Yamada S, "Sshaped software reliability modeling for software error detection", IEEE Trans Reliab, 32, pp.475~484 (1983)
- Zhao M., "Changepoint problems in software and hardware reliability", Commun. Stat Theory Methods, 22(3), pp.757~768 (1993)
- Shyur HJ., "A stochastic software reliability model with imperfect debugging and changepoint", J Syst. Software, 66, pp.135~141 (2003)
- Pham H, "NHPP software reliability and cost models with testing coverage", Eur J. Oper Res, 145, pp.445~454 (2003)
- Huang CY., "Performance analysis of software reliability growth models with testingeffort and changepoint", J. Syst Software, 76, pp.181~194 (2005)
- KueiChen, C, "A study of software reliability growth from the perspective of learning effects", Reliability Engineering and System Safety, 93, pp.1401~1421 (2008)
- HeeCheul KIM, "Exponentiated Exponential Software Reliability Growth model", International Journal of Advancements in Computing Technology, 1(2), pp.57~64 (2009)
- Musa, J. D, "Software Reliability: Measurement, Prediction, Application", pp.289~291 (1987), McGraw Hill
- Kuo, L, "Bayesian Computation of Software Reliability", Journal of the American Statistical Association, 91, pp.763~773 (1996)
- 김희철, "NHPP 극값 분포 소프트웨어 신뢰모형에 대한 학습효과 기법 비교 연구", (사)디지털산업정보학회 논문지, 7(2), pp.1~8 (2011), (사)디지털산업정보학회
- Y. HAYAKAWA, "Mixed PoissonType Processes with Application in Software Reliability", Mathematical and Computer Modelling, 31, pp.151~156 (2000)
- K. Kanoun, "Handbook of Software Reliability Engineering, In chapter Trend Analysis", pp.401~437 (1996), McGrawHill
- 이상식, "혼합 와이블 NHPP 모형에 근거한 소프트웨어 최적방출시기에 관한 연구", (사)디지털산업정보학회 논문지, 6(2), pp.183~191 (2010), (사)디지털산업정보학회