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ABSTRACT
Several cost models have been proposed in the past for estimating, predicting, and analyzing the costs of software reuse. In this paper we analyze existing models, explain their variance, and propose a tool-supported comprehensive model that encompasses most of the existing models.
REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
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CITED BY 4
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A. Mili , S. Fowler Chmiel , R. Gottumukkala , L. Zhang, Tracking, predicting and assessing software reuse costs: an automated tool, Proceedings of the 22nd international conference on Software engineering, p.785, June 04-11, 2000, Limerick, Ireland
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