Journal
INFORMATION AND SOFTWARE TECHNOLOGY
Volume 42, Issue 14, Pages 1009-1016Publisher
ELSEVIER
DOI: 10.1016/S0950-5849(00)00153-1
Keywords
software cost estimation; cost modeling techniques; accuracy comparison; analogy-based estimation; ordinary least-squares regression
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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. (C) 2000 Elsevier Science B.V. All rights reserved.
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