Effort estimation modeling techniques: a case study for web applications
ICWE '06 Proceedings of the 6th international conference on Web engineering
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ESEM '09 Proceedings of the 2009 3rd International Symposium on Empirical Software Engineering and Measurement
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IWSM '09 /Mensura '09 Proceedings of the International Conferences on Software Process and Product Measurement
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The use of a Bayesian network for web effort estimation
ICWE'07 Proceedings of the 7th international conference on Web engineering
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PROFES'11 Proceedings of the 12th international conference on Product-focused software process improvement
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Proceedings of the 12th International Conference on Product Focused Software Development and Process Improvement
EASE'09 Proceedings of the 13th international conference on Evaluation and Assessment in Software Engineering
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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
EASE'08 Proceedings of the 12th international conference on Evaluation and Assessment in Software Engineering
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EASE'07 Proceedings of the 11th international conference on Evaluation and Assessment in Software Engineering
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Proceedings of the 8th International Conference on Predictive Models in Software Engineering
Alternative methods using similarities in software effort estimation
Proceedings of the 8th International Conference on Predictive Models in Software Engineering
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Proceedings of the 2nd international workshop on Evidential assessment of software technologies
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Proceedings of the 17th International Conference on Evaluation and Assessment in Software Engineering
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This paper extends a previous study, using data on 67 Web projects from the Tukutuku database, investigating to what extent a cross-company cost model can be successfully employed to estimate effort for projects that belong to a single company, where no projects from this company were used to build the cross-company model. Our within-company model employed data on 14 Web projects from a single Web company. Our results were similar to those from the previous study, showing that predictions based on the within-company model were significantly more accurate than those based on the cross-company model. We also found that predictions were very poor when the within-company cost model was used to estimate effort for 53 Web projects from different companies. We analysed the data using two techniques, forward stepwise regression and case-based reasoning. We found estimates produced using stepwise regression models were better for the within company model while case-based reasoning predictions were better for the cross-company model.