Three empirical studies on estimating the design effort of Web applications

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Three empirical studies on estimating the design effort of Web applications

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ACM Transactions on Software Engineering and Methodology (TOSEM) archive
Volume 16 , Issue 4 (September 2007) table of contents

Article No. 15

Year of Publication: 2007

ISSN:1049-331X

Authors

Luciano Baresi	Politecnico di Milano, piazza Leonardo da Vinci, Milano (Italy)
Sandro Morasca	Università degli Studi dell'Insubria, Como (Italy)

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ACM New York, NY, USA

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ABSTRACT

Our research focuses on the effort needed for designing modern Web applications. The design effort is an important part of the total development effort, since the implementation can be partially automated by tools.

We carried out three empirical studies with students of advanced university classes enrolled in engineering and communication sciences curricula. The empirical studies are based on the use of W2000, a special-purpose design notation for the design of Web applications, but the hypotheses and results may apply to a wider class of modeling notations (e.g., OOHDM, WebML, or UWE). We started by investigating the relative importance of each design activity. We then assessed the accuracy of a priori design effort predictions and the influence of a few process-related factors on the effort needed for each design activity. We also analyzed the impact of attributes like the size and complexity of W2000 design artifacts on the total effort needed to design the user experience of web applications. In addition, we carried out a finer-grain analysis, by studying which of these attributes impact the effort devoted to the steps of the design phase that are followed when using W2000.

REFERENCES

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	1	Silvia Abrahão , Nelly Condori-Fernández , Luis Olsina , Oscar Pastor, Defining and Validating Metrics for Navigational Models, Proceedings of the 9th International Symposium on Software Metrics, p.200, September 03-05, 2003
	2	Silvia Abrahao , Geert Poels , Oscar Pastor, Evaluating a Functional Size Measurement Method for Web Applications: An Empirical Analysis, Proceedings of the Software Metrics, 10th International Symposium, p.358-369, September 11-17, 2004 [doi>10.1109/METRICS.2004.22]
	3	A. J. Albrecht , J. E. Gaffney, Software Function, Source Lines of Code, and Development Effort Prediction: A Software Science Validation, IEEE Transactions on Software Engineering, v.9 n.6, p.639-648, November 1983 [doi>10.1109/TSE.1983.235271]
	4	Luciano Baresi , Sandro Morasca , Paolo Paolini, An Empirical Study on the Design Effort of Web Applications, Proceedings of the 3rd International Conference on Web Information Systems Engineering, p.345-354, December 12-14, 2002
	5	Luciano Baresi , Sandro Morasca , Paolo Paolini, Estimating the Design Effort of Web Applications, Proceedings of the 9th International Symposium on Software Metrics, p.62, September 03-05, 2003
	6	Baresi, L., Colazzo, S., Mainetti, L., and Morasca, S. 2006. Web engineering, W2000: A modeling notation for complex Web applications. In Web Engineering, Mendes, E. and Mosley, N. Eds., Springer-Verlag, 335--364.
	7	Barry W. Boehm , Clark , Horowitz , Brown , Reifer , Chulani , Ray Madachy , Bert Steece, Software Cost Estimation with Cocomo II with Cdrom, Prentice Hall PTR, Upper Saddle River, NJ, 2000
	8	Barry W. Boehm, Software Engineering Economics, Prentice Hall PTR, Upper Saddle River, NJ, 1981
	9	Lionel C. Briand , Khaled El Emam , Frank Bomarius, COBRA: a hybrid method for software cost estimation, benchmarking, and risk assessment, Proceedings of the 20th international conference on Software engineering, p.390-399, April 19-25, 1998, Kyoto, Japan
	10	Calero, C., Ruiz, J., and, Piattini, M. 2004. A web metrics survey using WQM. In Web Engineering---4th International Conference, ICWE 2004 (Munich, Germany, July 26--30), Proceedings. Lecture Notes in Computer Science, vol. 3140. Springer-Verlag, Berlin, Germany, 147--160.
	11	Jeffrey Carver , Letizia Jaccheri , Sandro Morasca , Forrest Shull, Issues in Using Students in Empirical Studies in Software Engineering Education, Proceedings of the 9th International Symposium on Software Metrics, p.239, September 03-05, 2003
	12	Stefano Ceri , Piero Fraternali , Aldo Bongio, Web Modeling Language (WebML): a modeling language for designing Web sites, Computer Networks: The International Journal of Computer and Telecommunications Networking, v.33 n.1-6, p.137-157, June 2000
	13	Jim Conallen, Building Web Applications with Uml, Addison-Wesley Longman Publishing Co., Inc., Boston, MA, 2002
	14	COSMIC. 2003. COSMIC-FFP Measurement Manual, vers. 2.2. Common Software Measurement International Consortium. http://www.cosmicon.com.
	15	Costagliola, G., Ferrucci, F., Gravino, C., Tortora, G., and Vitiello, G. 2004. A COSMIC-FFP based method to estimate web application development effort. In Web Engineering---4th International Conference, ICWE 2004 (Munich, Germany, July 26--30). Lecture Notes in Computer Science, vol. 3140. Springer-Verlag, Berlin, Germany, 161--165.
	16	Devanshu Dhyani , Wee Keong Ng , Sourav S. Bhowmick, A survey of Web metrics, ACM Computing Surveys (CSUR), v.34 n.4, p.469-503, December 2002 [doi>10.1145/592642.592645]
	17	Norman E. Fenton, Software Metrics: A Rigorous Approach, Chapman & Hall, Ltd., London, UK, 1991
	18	Norman E. Fenton, Software Metrics: A Rigorous and Practical Approach, International Thomson Computer Press, Boston, MA, 1996
	19	Rachel M. Fewster , Emilia Mendes, Portfolio Management Method for Deadline Planning, Proceedings of the 9th International Symposium on Software Metrics, p.325, September 03-05, 2003
	20	David Garmus , David Herron, Function point analysis: measurement practices for successful software projects, Addison-Wesley Longman Publishing Co., Inc., Boston, MA, 2001
	21	Jesse James Garrett, The Elements of User Experience: User-Centered Design for the Web, New Riders Publishing, Thousand Oaks, CA, 2002
	22	Franca Garzotto , Paolo Paolini , Daniel Schwabe, HDM—a model-based approach to hypertext application design, ACM Transactions on Information Systems (TOIS), v.11 n.1, p.1-26, Jan. 1993 [doi>10.1145/151480.151483]
	23	Gibbons, J. D. 1993. Nonparametric Measures of Association. SAGE Publications, Thousand Oaks, CA.
	24	Athula Ginige , San Murugesan, Guest Editors' Introduction: Web Engineering— An Introduction, IEEE MultiMedia, v.8 n.1, p.14-18, January 2001 [doi>10.1109/93.923949]
	25	Gerti Kappel, Web Engineering, John Wiley & Sons, 2006
	26	Barbara Kitchenham , Emilia Mendes, Software Productivity Measurement Using Multiple Size Measures, IEEE Transactions on Software Engineering, v.30 n.12, p.1023-1035, December 2004 [doi>10.1109/TSE.2004.104]
	27	Knapp, A., Koch, N., Zhang, G., and Hassler, H.-M. 2004. Modeling business processes in web applications with argouwe. In Proceedings of UML 2004---The Unified Modelling Language: Modelling Languages and Applications. 7th International Conference (Lisbon, Portugal, Oct. 11--15). Lecture Notes in Computer Science, vol. 3273. Springer-Verlag, Berlin, Germany, 69--83.
	28	Leonardo Mangia , Roberto Paiano, MMWA: A Software Sizing Model for Web Applications, Proceedings of the Fourth International Conference on Web Information Systems Engineering, p.53, December 10-12, 2003
	29	Mendes, E., Counsell, S., and Mosley, N. 2005a. Towards a taxonomy of hypermedia and web application size metrics. In Web Engineering, 5th International Conference, ICWE 2005 (Sydney, Australia, July 27--29). Lecture Notes in Computer Science, vol. 3579. Springer-Verlag, Berlin, Germany, 110--123.
	30	Emilia Mendes , Barbara Kitchenham, Further Comparison of Cross-Company and Within-Company Effort Estimation Models for Web Applications, Proceedings of the Software Metrics, 10th International Symposium, p.348-357, September 11-17, 2004 [doi>10.1109/METRICS.2004.24]
	31	Mendes, E. and Mosley, N. 2006. Web Engineering. Springer-Verlag, Berlin, Germany.
	32	Mendes, E., Mosley, N., and Counsell, S. 2002a. Comparison of web size measures for predicting web design and authoring effort. IEE Proc.---Softw. 149, 3, 86--92.
	33	Emilia Mendes , Nile Mosley , Steve Counsell, A Replicated Assessment of the Use of Adaptation Rules to Improve Web Cost Estimation, Proceedings of the 2003 International Symposium on Empirical Software Engineering, p.100, September 30-October 01, 2003
	34	Emilia Mendes , Nile Mosley , Steve Counsell, Investigating Web size metrics for early Web cost estimation, Journal of Systems and Software, v.77 n.2, p.157-172, August 2005 [doi>10.1016/j.jss.2004.08.034]
	35	Mendes, E., Mosley, N., and Counsell, S. 2006. Web Engineering. Springer-Verlag, Berlin, Germany (Chapter: Web Effort Estimation), 31--76.
	36	Mendes, E., Watson, I., Triggs, C., Mosley, N., and Counsell, S. 2002b. A comparison of length, complexity and functionality as size measures for predicting web design and authoring effort. In Proceedings of the IEEE Metrics Symposium, 2002. IEEE Computer Society Press, Los Alamitos, CA.
	37	Emilia Mendes , Ian Watson , Chris Triggs , Nile Mosley , Steve Counsell, A Comparative Study of Cost Estimation Models for Web Hypermedia Applications, Empirical Software Engineering, v.8 n.2, p.163-196, June 2003 [doi>10.1023/A:1023062629183 ]
	38	San Murugesan , Yogesh Deshpande, Meeting the challenges of web application development: the web engineering approach, Proceedings of the 24th International Conference on Software Engineering, May 19-25, 2002, Orlando, Florida [doi>10.1145/581339.581446]
	39	Donald J. Reifer, Web Development: Estimating Quick-to-Market Software, IEEE Software, v.17 n.6, p.57-64, November 2000 [doi>10.1109/52.895169 ]
	40	Donald Reifer, Ten Deadly Risks in Internet and Intranet Software Development, IEEE Software, v.19 n.2, p.12-14, March 2002 [doi>10.1109/52.991324 ]
	41	P. J. Rousseeuw , A. M. Leroy, Robust regression and outlier detection, John Wiley & Sons, Inc., New York, NY, 1987
	42	Melanie Ruhe , Ross Jeffery , Isabella Wieczorek, Using Web Objects for Estimating Software Development Effort for Web Applications, Proceedings of the 9th International Symposium on Software Metrics, p.30, September 03-05, 2003
	43	Melanie Ruhe , Ross Jeffery , Isabella Wieczorek, Cost estimation for web applications, Proceedings of the 25th International Conference on Software Engineering, May 03-10, 2003, Portland, Oregon
	44	Daniel Schwabe , Gustavo Rossi, An object oriented approach to Web-based applications design, Theory and Practice of Object Systems, v.4 n.4, p.207-225, Oct. 12, 1998 [doi>10.1002/(SICI)1096-9942(1998)4:4<207::AID-TAPO2>3.0.CO;2-2 ]
	45	Tukutuku Benchmarking Project 2006. Home page, http://www.cs.auckland.ac.nz/tukutuku/.
	46	Paul Umbers , Gail Miles, Resource Estimation for Web Applications, Proceedings of the Software Metrics, 10th International Symposium, p.370-381, September 11-17, 2004 [doi>10.1109/METRICS.2004.37]