A COSMIC-FFP approach to predict web application development effort
作者： G. Costagliola , Sergio Di Martino , Filomena Ferrucci , C. Gravino , G. Tortora
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摘要: We describe an approach to predict Web application development effort, which is based on the main ideas underlying COSMIC-FFP (Cosmic Full Function Point). The method focused counting data movements and turns out be suitable for capturing specific aspects of dynamic applications, are characterized by from servers. It two measures that can applied analysis design documentation in order provide early estimations. also empirical has been carried verify usefulness predicting effort.
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Bernd Bruegge, Allen H. Dutoit, Object-Oriented Software Engineering: Using UML, Patterns and Java, Second Edition Object-Oriented Software Engineering: Using UML, Patterns and Java, Second Edition. ,(2003)
Geert Poels, Definition and Validation of a COSMIC-FFP Functional Size Measure for Object-Oriented Systems european conference on object oriented programming. pp. 1- 6 ,(2003)
Daniel Schwabe, Developing Hypermedia Applications using OOHDM ,(1998)
Erik Stensrud, Tron Foss, Barbara Kitchenham, Ingunn Myrtveit, A Further Empirical Investigation of the Relationship Between MRE and Project Size Empirical Software Engineering. ,vol. 8, pp. 139- 161 ,(2003) , 10.1023/A:1023010612345
Luciano Baresi, Franca Garzotto, Paolo Paolini, From Web Sites to Web Applications: New Issues for Conceptual Modeling conceptual modeling approaches for e business. pp. 89- 100 ,(2000) , 10.1007/3-540-45394-6_9
Jim Conallen, Building Web applications with UML ,(1999)
E. Mendes, B. Kitchenham, Further comparison of cross-company and within-company effort estimation models for Web applications ieee international software metrics symposium. pp. 348- 357 ,(2004) , 10.1109/METRICS.2004.24
Gennaro Costagliola, Filomena Ferrucci, Carmine Gravino, Genoveffa Tortora, Giuliana Vitiello, A COSMIC-FFP Based Method to Estimate Web Application Development Effort Lecture Notes in Computer Science. pp. 161- 165 ,(2004) , 10.1007/978-3-540-27834-4_20
J. P. Royston, An Extension of Shapiro and Wilk's W Test for Normality to Large Samples Applied statistics. ,vol. 31, pp. 115- 124 ,(1982) , 10.2307/2347973
P. Umbers, G. Miles, Resource estimation for Web applications ieee international software metrics symposium. pp. 370- 381 ,(2004) , 10.1109/METRICS.2004.37