A Comparative Study on Infinite NHPP Reliability Cost Model Based on Intensity Function of Log Power Form (로그 파우어 강도함수에 근거한 소프트웨어 무한고장 NHPP 신뢰성 비용 모형에 관한 비교 연구)

Kim Hee Chul (김희철); Tae-Jin Yang (양태진)

A Comparative Study on Infinite NHPP Reliability Cost Model Based on Intensity Function of Log Power Form

Journal of Knowledge Information Technology and Systems
Abbr : JKITS
2014, 9(2), pp.295-302
Publisher : Korea Knowledge Information Technology Society
Research Area : Interdisciplinary Studies > Interdisciplinary Research
Published : April 30, 2014

Kim Hee Chul ¹, Tae-Jin Yang ¹

¹남서울대학교

Accredited

ABSTRACT

With the increasing demand to deliver high-quality software, more accurate software reliability models and software cost models are required to estimate the optimal software release time and the cost of testing efforts. In this study, reliability software cost model considering intensity function based on life distribution from the process of software product testing was studied. The comparison problem of log power intensity function that is widely used in the field of reliability, reliability growth model, was presented. The software failure pattern was used infinite failure non-homogeneous Poisson process model, the parameters estimation using maximum likelihood estimation was conducted. For analysis of software cost model considering intensity function, in this research, software developers to identify software development cost some extent be able to help. In this study, software cost model, using the infinite non-homogeneous Poisson process(NHPP) failure, more software efficiently optimum delivery times can be predicted. The proposed model is the total number of defects in software release period after the operational software and software to be discovered during maintenance and the defects are not found in all software users should assume that. It's a real step error detection and error correction cost of removing all of the remaining operational steps to eliminate the error is lower than the cost increases, the operating time can be seen as costs increase. Therefore, the optimal discharge time of the software can be realistically predict beforehand.

KEYWORDS

Cost model, Log power intensity function, NHPP, Laplace trend test, Infinite failure

Citation status

* References for papers published after 2023 are currently being built.

[journal] L. Kuo / 1996 / Bayesian computation of software reliability / Journal of the American Statistical Association 91 : 763~773

[journal] Gokhale, S. S / 1999 / A time/structure based software reliability model / Annals of Software Engineering 8 : 85~121

[journal] Goel A L / 1978 / Time-dependent fault detection rate model for software and other performance measures / IEEE Transaction Reliability 28 : 206~211

[journal] Yamada S / 1983 / S-shaped software reliability modeling for software error detection / IEEE Transaction Reliability 32 : 475~484

[journal] Zhao M / 1993 / Change-point problems in software and hardware reliability / Communications in Statistics-Theory Methods 22(3) : 757~768

[journal] Shyur H-J / 2003 / A stochastic software reliability model with imperfect debugging and change-point / Journal of Systems and Software 66 : 135~141

[journal] Pham H / 2003 / NHPP software reliability and cost models with testing coverage / European Journal of Operational Research 145 : 445~454

[journal] Huang C-Y / 2005 / Performance analysis of software reliability growth models with testing-effort and change-point / Journal of Systems and Software 76 : 181~194

[journal] Kuei-Chen. C / 2008 / A study of software reliability growth from the perspective of learning effects / Reliability Engineering and System Safety 93 : 10~1421

[journal] Hee-Cheul KIM / 2013 / The comparative study of NHPP half-logistic distribution software reliability model using the perspective of learning effects / JNIT: Journal of Next Generation Information Technology 4(8) : 132~139

[journal] Hyun-Dai SHIN / 2013 / The comparative study of software optimal release time based on NHPP software reliability model using exponential and log shaped type for the perspective of learning effects / IJACT:International Journal of Advancements in Computing Technology 5(12) : 120~129

[journal] Hee-Cheul KIM / 2013 / The comparative study of NHPP delayed s-shaped and extreme value distribution software reliability model using the perspective of learning effects / IJACT:International Journal of Advancements in Computing Technology 5(9) : 1210~1218

[journal] 김경수 / 2013 / The Comparative Software Cost Model of Considering Logarithmic Fault Detection Rate Based on Failure Observation Time / 디지털융복합연구 / 한국디지털정책학회 11(11) : 335~342

[journal] Ye Zhang / 2012 / Software cost model considering reliability and time of software in Use / JCIT: Journal of Convergence Information Technology 7(13) : 135~142

[journal] Vincent Almering / 2007 / Software reliability growth models in practice / IEEE SOFTWARE : 82~88

[journal] Y. HAYAKAWA / 2000 / Mixed poisson-type processes with application in software reliability / Mathematical and Computer Modelling 31 : 151~156

[journal] 김경수 / 2013 / The Comparative Study of Software Optimal Release Time of Finite NHPP Model Considering Property of Nonlinear Intensity Function / 디지털융복합연구 / 한국디지털정책학회 11(9) : 159~166

[book] K. Kanoun / 1996 / Handbook of software reliability engineering / McGraw-Hill New York : 401~437

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