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A Comparative Study of Two Software Development Cost Modeling Techniques Using Multi-Organizational and Company-Specific Data

 
: Jeffery, R.; Ruhe, M.; Wieczorek, I.

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Information and software technology 42 (2000), No.14, pp.1009-1016 : Ill., Lit.
ISSN: 0950-5849
English
Journal Article
Fraunhofer IESE ()
software cost estimation; cost modeling technique; accuracy comparison; analogy-based estimation; ordinary least squares regression

Abstract
This research examined the use of the International Software Benchmarking Standards Group (ISBSG) repository for estimating effort for software projects in an organization not involved in ISBSG. The study investigates two questions: (1) What are the differences in accuracy between ordinary least-squares (OLS) regression and Analogy-based estimation? (2) Is there a difference in accuracy between estimates derived from the multi-company ISBSG data and estimates derived from company-specific data? Regarding the first question, we found that OLS regression performed as well as Analogy-based estimation when using company-specific data for model building. Using multi-company data the OLS regression model provided significantly more accurate results than Analogy-based predictions. Addressing the second question, we found in general that models based on the company-specific data resulted in significantly more accurate estimates.