Title : 
Further comparison of cross-company and within-company effort estimation models for Web applications
         
        
            Author : 
Mendes, Emilia ; Kitchenham, Barbara
         
        
            Author_Institution : 
Dept. of Comput. Sci., Auckland Univ., New Zealand
         
        
        
        
        
        
            Abstract : 
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.
         
        
            Keywords : 
Internet; case-based reasoning; project management; regression analysis; software cost estimation; software development management; software metrics; Web projects; case-based reasoning; cross-company estimation models; effort estimation; forward stepwise regression; regression-based estimation models; replication study; within-company estimation model; Application software; Computer science; Costs; Data analysis; Databases; Predictive models; Productivity; Sampling methods; Software engineering; Software metrics;
         
        
        
        
            Conference_Titel : 
Software Metrics, 2004. Proceedings. 10th International Symposium on
         
        
        
            Print_ISBN : 
0-7695-2129-0
         
        
        
            DOI : 
10.1109/METRIC.2004.1357920