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11th IEEE International Software Metrics Symposium (METRICS'05)
A Replicated Comparison of Cross-Company and Within-Company Effort Estimation Models Using the ISBSG Database
Como, Italy
September 19-September 22
ISBN: 0-7695-2371-4
Emilia Mendes, University of Auckland
Chris Lokan, Australian Defence Force Academy
Robert Harrison, University of Auckland
Chris Triggs, University of Auckland

Four years ago was the last time the ISBSG database was used to compare the effort prediction accuracy between cross-company and within-company cost models. Since then more than 2,000 projects have been volunteered to this database, which may have changed the trends previously observed. This paper therefore replicates a previous study by investigating how successful a cross-company cost model is: i) to estimate effort for projects that belong to a single company and were not used to build the cross-company model; ii) compared to a within-company cost model. Our within-company data set had data on 184 software projects from a single company and our cross-company data set employed data on 672 software projects.

Our results did not corroborate those from the previous study, showing that predictions based on the within-company model were not significantly more accurate than those based on the cross-company model. We analysed the data using forward stepwise regression.

Index Terms:
effort estimation, software projects, cross-company estimation models, within-company estimation model, regression-based estimation models, replication study
Citation:
Emilia Mendes, Chris Lokan, Robert Harrison, Chris Triggs, "A Replicated Comparison of Cross-Company and Within-Company Effort Estimation Models Using the ISBSG Database," metrics, pp.36, 11th IEEE International Software Metrics Symposium (METRICS'05), 2005
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