NHPP-Based Software Reliability Model with Marshall-Olkin Failure Time Distribution

• XIAO Xiao

  Division of Management Systems Engineering, Faculty of System Design, Tokyo Metropolitan University

Abstract

A new modeling approach for the non-homogeneous Poisson processes (NHPPs) based software reliability modeling is proposed to describe the stochastic behavior of software fault-detection processes, of which the failure rate is not monotonic. The fundamental idea is to apply the Marshall-Olkin distribution to the software fault-detection time distribution. The applicability of Marshall-Olkin distribution in software reliability modeling is studied. The data fitting abilities of the proposed NHPP-based software reliability model is compared with the existing typical ones through real software project data analysis.

Journal

• IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences

  IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences E98.A (10), 2060-2068, 2015

  The Institute of Electronics, Information and Communication Engineers

Keywords

• failure rate
• NHPP
• Marshall-Olkin distribution
• software fault count data
• real data analysis

Details

• CRID: 1390001206309979648
• NII Article ID: 130005100658
• DOI: 10.1587/transfun.e98.a.2060
• ISSN: 17451337
• ISSN: 09168508
• Web Site: https://www.jstage.jst.go.jp/article/transfun/E98.A/10/E98.A_2060/_pdf
• Text Lang: en
• Data Source:
  • JaLC
  • Crossref
  • CiNii Articles
  • KAKEN
• Abstract License Flag: Disallowed