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http://dx.doi.org/10.17661/jkiiect.2018.11.4.460

A characteristic study on the software development cost model based on the lifetime distribution following the shape parameter of Type-2 Gumbel and Erlang distribution  

Yang, Tae-Jin (Department of Electronic Engineering, Namseoul University)
Publication Information
The Journal of Korea Institute of Information, Electronics, and Communication Technology / v.11, no.4, 2018 , pp. 460-466 More about this Journal
Abstract
With the development of information technology, the scale of computer software system is constantly expanding. Reliability and cost of software development have a great impact on software quality. In this study, based on the software failure interval time data, a comparative analysis was performed on the characteristics of the software development cost model based on the lifetime distribution following the Type-2 Gumbel and Erlang distribution in the NHPP model. As a result, the trends of the cost curves for the Go-Okumoto model and the proposed Erlang model and the Type-2 Gumble model both decreased in the initial stage and gradually increased in the latter half of the failure time. Also, Comparing the Erlang model with the Type-2 Gumble model, we found that the Erlang model is faster and more cost-effective at launch. Through this study, Software operators should remove possible defects from the testing phase rather than the operational phase to reduce defects after the software release date, it is expected to be able to study the prior information needed to understand the characteristic of software development cost.
Keywords
Erlang distribution; Laplace trend test; NHPP; Software cost model; Type-2 Gumbel;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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