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http://dx.doi.org/10.17661/jkiiect.2018.11.6.645

A Study on Attribute Analysis of Software Development Cost Model about Life Distribution Considering Shape Parameter of Weibull Distribution  

Kim, Hee-Cheul (Department of Industrial & Management Engineering, Namseoul University)
Publication Information
The Journal of Korea Institute of Information, Electronics, and Communication Technology / v.11, no.6, 2018 , pp. 645-650 More about this Journal
Abstract
Software stability is the possibility of operating without any malfunction in the operating environment over time. In a finite failure NHPP for software failure analysis, the failure occurrence rate may be constant, monotonically increasing, or monotonically decreasing. In this study, based on the NHPP model and based on the software failure time data, we compared and analyzed the attributes of the software development cost model using the exponential distribution Rayleigh distribution and inverse exponential distribution considering the shape parameter of the Weibull distribution as the life distribution. The results of this study show that the Rayleigh model is the fastest release time and has the economic cost compared to the inverse-exponential model and the Goel-Okumoto model. Using the results of this study, it can be expected that software developers and operators will be able to predict the optimal release time and economic development cost.
Keywords
Box-Plot; Goel-Okumoto model NHPP; Software cost model; Weibull distribution;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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