A software cost model for quantifying the gain with considerations of random field environments

Xiaolin Teng, Hoang Pham

Research output: Contribution to journalArticlepeer-review

40 Scopus citations

Abstract

In Ihis paper, we present a software gain model under random field environment with consideration of not only time to remove faults during in-house testing, cost of removing faults during beta testing, risk cost due to software failure; but also the benefits from reliable executions of the software during the beta testing and field operation. To our knowledge, this is the first study that incorporates the random field environmental factor into the cost model. We also provide an optimal release policy in which the net gain of the software development process is maximized. This gain model can help managers and developers to determine when to stop testing the software and release it to beta testing users-and to end-users.

Original languageEnglish (US)
Pages (from-to)380-384
Number of pages5
JournalIEEE Transactions on Computers
Volume53
Issue number3
DOIs
StatePublished - Mar 2004

All Science Journal Classification (ASJC) codes

  • Software
  • Theoretical Computer Science
  • Hardware and Architecture
  • Computational Theory and Mathematics

Keywords

  • Nonhomogeneous Poisson process (NHPP)
  • Optimum software release time
  • Software gain model
  • Software reliability
  • Software testing

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