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Coping with the Cone of Uncertainty: An Empirical Study of the SAIV Process Model
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Coping with the Cone of Uncertainty: An Empirical Study of the SAIV Process Model
Da Yang1, 3  , Barry Boehm2 , Ye Yang2 , Qing Wang1 and Mingshu Li1
| (1) |
Laboratory for Internet Software Technologies, Institute of Software, Chinese Academy of Sciences, Beijing 100080, China |
| (2) |
University of Southern California, 941 w. 37th Place Los Angeles, CA 90089-0781, |
| (3) |
Graduate University of Chinese Academy of Sciences, Beijing 100039, China |
Abstract
There is large uncertainty with the software cost in the early stages of software development due to requirement volatility,
incomplete understanding of product domain, reuse opportunities, market change, etc. This makes it an increasingly challenging
issue to deliver software on time, within budget, and with satisfactory quality in the IT field. In this paper, we introduce
the Schedule as Independent Variable (SAIV) approach, and present the empirical study of how it is used to cope with the uncertainty
of cost, and deliver customer satisfactory products in 8 USC (University of Southern California) projects. We also investigate
the success factors and best practices in managing the uncertainty of cost.
Keywords process model - SAIV - cost estimation - cone of uncertainty
This work is supported by the National Natural Science Foundation of China under grant Nos. 60573082 and 60473060; the National
Hi-Tech Research and Development Plan of China under Grant No. 2006AA01Z185; the National Key Technologies R&D Program under
Grant No. 2005BA113A01.
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