Title :
A replicated comparison of cross-company and within-company effort estimation models using the ISBSG database
Author :
Mendes, Emilia ; Lokan, Chris ; Harrison, Robert ; Triggs, Chris
Author_Institution :
Dept. of Comput. Sci., Auckland Univ.
Abstract :
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
Keywords :
regression analysis; software cost estimation; software management; ISBSG database; cost models; cross-company cost model; effort estimation models; effort prediction; forward stepwise regression; replication study; software projects; within-company cost model; Accuracy; Aerospace industry; Computer science; Costs; Data analysis; Databases; Defense industry; Information technology; Predictive models; Statistics; cross-company estimation models; effort estimation; regression-based estimation models; replication study; software projects; within-company estimation model;
Conference_Titel :
Software Metrics, 2005. 11th IEEE International Symposium
Conference_Location :
Como
Print_ISBN :
0-7695-2371-4
DOI :
10.1109/METRICS.2005.4