Cross-company and single-company effort models using the ISBSG database: a further replicated study
Proceedings of the 2006 ACM/IEEE international symposium on Empirical software engineering
Proceedings of the 16th international conference on World Wide Web
Cross versus Within-Company Cost Estimation Studies: A Systematic Review
IEEE Transactions on Software Engineering
Cross-company vs. single-company web effort models using the Tukutuku database: An extended study
Journal of Systems and Software
Adapting a fault prediction model to allow inter languagereuse
Proceedings of the 4th international workshop on Predictor models in software engineering
An empirical analysis of software effort estimation with outlier elimination
Proceedings of the 4th international workshop on Predictor models in software engineering
A comparative evaluation on the accuracies of software effort estimates from clustered data
Information and Software Technology
Empirical Software Engineering
Proceedings of the 6th International Conference on Predictive Models in Software Engineering
Comparison of weighted grey relational analysis for software effort estimation
Software Quality Control
EASE'09 Proceedings of the 13th international conference on Evaluation and Assessment in Software Engineering
A systematic review of cross- vs. within- company cost estimation studies
EASE'06 Proceedings of the 10th international conference on Evaluation and Assessment in Software Engineering
Maximising data retention from the ISBSG repository
EASE'08 Proceedings of the 12th international conference on Evaluation and Assessment in Software Engineering
EASE'08 Proceedings of the 12th international conference on Evaluation and Assessment in Software Engineering
The Journal of Supercomputing
Towards a simplified definition of Function Points
Information and Software Technology
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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.