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

Xiaolin Teng; Hoang Pham

doi:10.1109/TC.2004.1261844

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

Xiaolin Teng, Hoang Pham

Engn - Industrial Engineering

Research output: Contribution to journal › Article › peer-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 language	English (US)
Pages (from-to)	380-384
Number of pages	5
Journal	IEEE Transactions on Computers
Volume	53
Issue number	3
DOIs	https://doi.org/10.1109/TC.2004.1261844
State	Published - 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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keywords = "Nonhomogeneous Poisson process (NHPP), Optimum software release time, Software gain model, Software reliability, Software testing",

author = "Xiaolin Teng and Hoang Pham",

note = "Funding Information: This research was supported in part by the US National Science Foundation INT-0107755 and the US Federal Aviation Administration William J. Hughes Technical Center under Grant 98-G-006. The authors would like to thank the associate editor and the referees for their useful suggestions and comments.",

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

Abstract

All Science Journal Classification (ASJC) codes

Keywords

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