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http://dx.doi.org/10.17661/jkiiect.2016.9.4.351

A Performance Comparative Evaluation for Finite and Infinite Failure Software Reliability Model using the Erlang Distribution  

Yang, Tae-Jin (Academic Cooperation Foundation, Namseoul University)
Publication Information
The Journal of Korea Institute of Information, Electronics, and Communication Technology / v.9, no.4, 2016 , pp. 351-358 More about this Journal
Abstract
Science and technology is developing rapidly as more powerful software with the rapid development of software testing and reliability assessment by the difficulty increases with the complexity of the software features of the larger increases NHPP software reliability models for failure analysis can have, in the literature, exhibit either constant, monotonic increasing or monotonic decreasing failure occurrence rates per fault. In this paper, finite failure NHPP models that assuming the expected value of the defect and infinite failures NHPP models that repairing software failure point in time reflects the situation, were presented for comparing property. Commonly used in the field of software reliability based on Erlang distribution software reliability model finite failures and infinite failures were presented for performance comparative evaluation problem. As a result, finite failure model is better than infinite failure model effectively. The parameters estimation using maximum likelihood estimation in the course of this study was conducted. As the results of this research, software developers to identify software failure property be able to help is concluded.
Keywords
Software failure reliability model; NHPP; Decreasing intensity function; Finite Failure; Infinite Failure; Erlang Distribution;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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