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ID 33942
本文ファイル
著者
Xiao, Xiao
キーワード
software reliability
equilibrium distribution
EM algorithm
NHPP
real data analysis
NDC
総記
抄録(英)
Non-homogeneous Poisson processes (NHPPs) have gained much popularity in actual software testing phases to estimate the software reliability, the number of remaining faults in software and the software release timing. In this paper, we propose a new modeling approach for the NHPP-based software reliability models (SRMs) to describe the stochastic behavior of software fault-detection processes. The fundamental idea is to apply the equilibrium distribution to the fault-detection time distribution in NHPP-based modeling. We also develop efficient parameter estimation procedures for the proposed NHPP-based SRMs. Through numerical experiments, it can be concluded that the proposed NHPP-based SRMs outperform the existing ones in many data sets from the perspective of goodness-of-fit and prediction performance.
掲載誌名
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
E95A巻
5号
開始ページ
894
終了ページ
902
出版年月日
2012
出版者
一般社団法人電子情報通信学会
ISSN
0916-8508
NCID
出版者DOI
言語
英語
NII資源タイプ
学術雑誌論文
広大資料タイプ
学術雑誌論文
DCMIタイプ
text
フォーマット
application/pdf
著者版フラグ
publisher
権利情報
Copyright (c) 2012 The Institute of Electronics, Information and Communication Engineers
関連情報URL
部局名
工学研究科