An empirical validation of software cost estimation models
Communications of the ACM
Software engineering metrics and models
Software engineering metrics and models
An assessment and comparison of common software cost estimation modeling techniques
Proceedings of the 21st international conference on Software engineering
A replicated assessment and comparison of common software cost modeling techniques
Proceedings of the 22nd international conference on Software engineering
Using Public Domain Metrics To Estimate Software Development Effort
METRICS '01 Proceedings of the 7th International Symposium on Software Metrics
How Valuable is company-specific Data Compared to multi-company Data for Software Cost Estimation?
METRICS '02 Proceedings of the 8th International Symposium on Software Metrics
Further Comparison of Cross-Company and Within-Company Effort Estimation Models for Web Applications
METRICS '04 Proceedings of the Software Metrics, 10th International Symposium
METRICS '05 Proceedings of the 11th IEEE International Software Metrics Symposium
Using Multivariate Statistics (5th Edition)
Using Multivariate Statistics (5th Edition)
Using genetic programming to improve software effort estimation based on general data sets
GECCO'03 Proceedings of the 2003 international conference on Genetic and evolutionary computation: PartII
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
Proceedings of the 16th international conference on World Wide Web
Cross-company vs. single-company web effort models using the Tukutuku database: An extended study
Journal of Systems and Software
Empirical Software Engineering
ACSC '09 Proceedings of the Thirty-Second Australasian Conference on Computer Science - Volume 91
Proceedings of the 6th International Conference on Predictive Models in Software Engineering
An empirical evaluation of outlier deletion methods for analogy-based cost estimation
Proceedings of the 7th International Conference on Predictive Models in Software Engineering
EASE'09 Proceedings of the 13th international conference on Evaluation and Assessment in Software Engineering
EASE'08 Proceedings of the 12th international conference on Evaluation and Assessment in Software Engineering
Handling categorical variables in effort estimation
Proceedings of the ACM-IEEE international symposium on Empirical software engineering and measurement
Revisiting software development effort estimation based on early phase development activities
Proceedings of the 10th Working Conference on Mining Software Repositories
On the value of outlier elimination on software effort estimation research
Empirical Software Engineering
Information and Software Technology
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Five years ago the ISBSG database was used by Jeffery et al. [6] (S1) to compare the effort prediction accuracy between cross- and single-company effort models. Given that more than 2,000 projects were later volunteered to this database, in 2005 Mendes et al. [17] (S2) replicated S1 but obtained different results. The difference in results between both studies could have resulted from legitimate differences in data set patterns but also could have been influenced by differences in experimental procedure. S2 was unable to employ exactly the same experimental procedure used in S1, as S1's procedure was not fully documented. Therefore this paper aimed to apply S2's experimental procedure to the ISBSG database version used in S1 (release 6) to assess if differences in experimental procedure would have contributed towards different results. Our results corroborated those from S1: we found that predictions based on a single-company model were significantly more accurate than those based on a cross-company model.