Cost estimation techniques for Web projects

Cost Estimation Techniques for Web Projects

Volumn , Issue , 2007, Pages 1-412

  Mendes, Emilia ^a  

^a UNIVERSITY OF AUCKLAND   (New Zealand)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 84898399777     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.4018/978-1-59904-135-3     Document Type: Book

References (212)

1. Fenton, N. E., & Pfleeger, S. L. (1997). Software metrics: A rigorous and practical approach (2nd ed.). Boston: PWS Publishing Company.
2. Ginige, A. (2002), July. Workshop on Web engineering. Web engineering: Managing the complexity of Web systems development. Proceedings of the 14th International Conference on Software Engineering and Knowledge Engineering (pp. 72-729).
3. Mendes, E., Counsell, S., & Mosley, N. (2000), June. Measurement and effort prediction of Web applications. Proceedings of 2nd ICSE Workshop on Web Engineering.(pp. 57-74).
4. Barry, C., & Lang, M. (2001). A survey of multimedia and Web development techniques and methodology usage. IEEE Multimedia, 8(2), 52-60.
5. Brereton, P., Budgen, D., & Hamilton, G. (1998). Hypertext: The next maintenance mountain. Computer, 31(12), 49-55.
6. Christodoulou, S. P., Zafiris, P. A., & Papatheodorou, T. S. (2000). WWW2000: The developer's view and a practitioner's approach to Web engineering. Proceedings of the 2nd ICSE Workshop on Web Engineering (pp. 75-92).
7. Conklin, J. (1987). Hypertext: An introduction and survey. Computer, 20(9), 17-41.
8. Deshpande, Y., & Hansen, S. (2001). Web engineering: Creating a discipline among disciplines. IEEE Multimedia, 8(2), 82-87.
9. Deshpande, Y., Murugesan, S., Ginige, A., Hansen, S., Schwabe, D., Gaedke, M., et al. (2002). Web engineering. Journal of Web Engineering, 1(1), 3-17.
10. Fenton, N. E., & Pfleeger, S. L. (1997). Software metrics: A rigorous and practical approach (2nd ed.). Boston: PWS Publishing Company.
11. Fraternali, P., & Paolini, P. (2000). Model-driven development of Web applications: The AutoWeb system. ACM Transactions on Information Systems, 18(4), 1-35.
12. Gellersen, H., & Gaedke, M. (1999). Object-oriented Web application development. IEEE Internet Computing, 3(1), 60-68.
13. Gellersen, H., Wicke, R., & Gaedke, M. (1997). WebComposition: An object-oriented support system for the Web engineering lifecycle. Journal of Computer Networks and ISDN Systems, 29(8-13), 865-1553.
14. Ginige, A. (2002), July. Workshop on Web engineering. Web engineering: Managing the complexity of Web systems development. Proceedings of the 14th International Conference on Software Engineering and Knowledge Engineering (pp. 72-729).
15. Ginige, A., & Murugesan, S. (2001). Web engineering: An introduction. IEEE Multimedia, 8(1), 14-18.
16. Institute of Electrical and Electronics Engineers (IEEE). (2003). Recommended practice for the Internet Web site engineering, Web site management, and Web site life cycle. Author.
17. Lee, S. C., & Shirani, A. I. (2004). A component based methodology for Web application development. Journal of Systems and Software, 71(1-2), 177-187.
18. Mendes, E., Mosley, N., & Counsell, S. (2003). Investigating early Web size measures for Web costimation. Proceedings EASE 2003 Conference.
19. Murugesan, S., & Deshpande, Y. (2001). Lecture notes in computer science: Vol. 2016. Web engineering: Managing diversity and complexity of Web application development. Heidelberg, Germany: Springer Verlag.
20. Murugesan, S., & Deshpande, Y. (2002). Meeting the challenges of Web application development: The Web engineering approach. Proceedings of the 24th International Conference on Software Engineering (pp. 687-688).
21. Offutt, J. (2002). Quality attributes of Web software applications. IEEE Software, 19(2), 25-32.
22. Reifer, D. J. (2000). Web development: Estimating quick-to-market software. IEEE Software, 17(6), 57-64.
23. Ricca, F., & Tonella, P. (2001). Analysis and testing of Web applications. Proceedings of the 23rd International Conference on Software Engineering (pp. 25-34).
24. Standing, C. (2002). Methodologies for developing Web applications. Information and Software Technology, 44(3), 151-160.
25. Taylor, M. J., McWilliam, J., Forsyth, H., & Wade, S. (2002). Methodologies and Website development: A survey of practice. Information and Software Technology, 44(6), 381-391.
26. Angelis, L., & Stamelos, I. (2000). A simulation tool for efficient analogy based cost estimation. Empirical Software Engineering, 5, 35-68.
27. Baresi, L., Morasca, S., & Paolini, P. (2003, September). Estimating the design effort of Web applications. Proceedings of the Ninth International Software Measures Symposium, 62-72.
28. Boehm, B. (1981). Software engineering economics. Englewood Cliffs, NJ: Prentice-Hall.
29. Boehm, B. (2000). COCOMO II. The University of Southern California. Retrieved January 2006 from http://sunset.usc.edu/research/COCOMOII/Docs/modelman.pdf
30. Bohem, B., Abts, C., Brown, A., Chulani, S., Clark, B., Horowitz, E., et al. (2000). Software cost estimation with Cocomo II. Pearson Publishers.
31. Botafogo, R., Rivlin, A. E., & Shneiderman, B. (1992). Structural analysis of hypertexts: Identifying hierarchies and useful measures. ACM Transactions on Information Systems, 10(2), 143-179.
32. Briand, L. C., El-Emam, K., Surmann, D., Wieczorek, I., & Maxwell, K. D. (1999). An assessment and comparison of common cost estimation modeling techniques. Proceedings of ICSE 1999 (pp. 313-322).
33. Briand, L. C., Langley, T., & Wieczorek, I. (2000). A replicated assessment and comparison of common software cost modeling techniques. Proceedings of ICSE 2000 (pp. 377-386).
34. Brieman, L., Friedman, J., Olshen, R., & Stone, C. (1984). Classification and regression trees. Belmont: Wadsworth.
35. Christodoulou, S. P., Zafiris, P. A., & Papatheodorou, T. S. (2000). WWW2000: The developer's view and a practitioner's approach to Web engineering. Proceedings of the 2nd ICSE Workshop Web Engineering (pp. 75-92).
36. Conte, S., Dunsmore, H., & Shen, V. (1986). Software engineering metrics and models. Menlo Park, CA: Benjamin/Cummings.
37. Cowderoy, A. J. C. (2000). Measures of size and complexity for Web-site content. Proceedings of the 11th ESCOM Conference (pp. 423-431).
38. DeMarco, T. (1982). Controlling software projects: Management, measurement and estimation. New York: Yourdon Press.
39. Fewster, R. M., & Mendes, E. (2001). Measurement, prediction and risk analysis for Web applications. Proceedings of the IEEE METRICS Symposium (pp. 338-348).
40. Finnie, G. R., Wittig, G. E., & Desharnais, J.-M. (1997). A comparison of software effort estimation techniques: Using function points with neural networks, case-based reasoning and regression models. Journal of Systems and Software, 39, 281-289.
41. Gray, A., & MacDonell, S. (1997a). Applications of fuzzy logic to software metric models for development effort estimation. Proceedings of IEEE Annual Meeting of the North American Fuzzy Information Processing Society-NAFIPS (pp. 394-399).
42. Gray, A. R., & MacDonell, S. G. (1997b). A comparison of model building techniques to develop predictive equations for software metrics. Information and Software Technology, 39, 425-437.
43. Gray, R., MacDonell, S. G., & Shepperd, M. J. (1999). Factors systematically associated with errors in subjective estimates of software development effort: The stability of expert judgement. Proceedings of the 6th IEEE Metrics Symposium (pp. 216-226).
44. Hughes, R. T. (1997). An empirical investigation into the estimation of software development effort. Unpublished doctoral dissertation, Department of Computing, University of Brighton, Brighton, UK.
45. Jeffery, R., Ruhe, M., & Wieczorek, I. (2000). A comparative study of two software development cost modelling techniques using multi-organizational and company-specific data. Information and Software Technology, 42, 1009-1016.
46. Jeffery, R., Ruhe, M., & Wieczorek, I. (2001). Using public domain metrics to estimate software development effort. Proceedings of the 7th IEEE Metrics Symposium (pp. 16-27).
47. Jørgensen, M., & Sjøberg, D. (2001). Impact of effort estimates on software project work. Information and Software Technology, 43, 939-948.
48. Kadoda, G., Cartwright, M., Chen, L., & Shepperd, M. J. (2000). Experiences using case-based reasoning to predict software project effort. Proceedings of the EASE 2000 Conference, Keele, UK.
49. Kemerer, C. F. (1987). An empirical validation of software cost estimation models. Communications of the ACM, 30(5), 416-429.
50. Kitchenham, B. A., Pickard, L. M., Linkman, S., & Jones, P. (2003). Modelling software bidding risks. IEEE Transactions on Software Engineering, 29(6), 542-554.
51. Kok, P., Kitchenham, B. A., & Kirakowski, J. (1990). The MERMAID approach to software cost estimation. Proceedings of the ESPRIT Annual Conference (pp. 296-314).
52. Kumar, S., Krishna, B. A., & Satsangi, P. S. (1994). Fuzzy systems and neural networks in software engineering project management. Journal of Applied Intelligence, 4, 31-52.
53. Mendes, E., Counsell, S., & Mosley, N. (2000), June. Measurement and effort prediction of Web applications. Proceedings of 2nd ICSE Workshop on Web Engineering (pp. 57-74).
54. Mendes, E., Mosley, N., & Counsell, S. (2001). Web measures: Estimating design and authoring effort. IEEE Multimedia, 8(1), 50-57.
55. Mendes, E., Mosley, N., & Counsell, S. (2002). The application of case-based reasoning to early Web project cost estimation. Proceedings of IEEE COMPSAC (pp. 393-398).
56. Mendes, E., Mosley, N., & Counsell, S. (2003a). Do adaptation rules improve Web cost estimation? Proceedings of the ACM Hypertext Conference 2003 (pp. 173-183).
57. Mendes, E., Mosley, N., & Counsell, S. (2003b). A replicated assessment of the use of adaptation rules to improve Web cost estimation. Proceedings of the ACM and IEEE International Symposium on Empirical Software Engineering (pp. 100-109).
58. Mendes, E., Watson, I., Triggs, C., Mosley, N., & Counsell, S. (2002), June. A comparison of development effort estimation techniques for Web hypermedia applications. Proceedings IEEE Metrics Symposium (pp. 141-151).
59. Reifer, D. J. (2000). Web development: Estimating quick-to-market software. IEEE Software, 17(6), 57-64.
60. Ruhe, M., Jeffery, R., & Wieczorek, I. (2003). Cost estimation for Web applications. Proceedings of ICSE 2003 (pp. 285-294).
61. Schofield, C. (1998). An empirical investigation into software estimation by analogy. Unpublished doctoral dissertation, Department of Computing, Bournemouth University, Bournemouth, UK.
62. Schroeder, L., Sjoquist, D., & Stephan, P. (1986). Understanding regression analysis: An introductory guide (No. 57). Newbury Park: Sage Publications.
63. Selby, R. W., & Porter, A. A. (1998). Learning from examples: Generation and evaluation of decision trees for software resource analysis. IEEE Transactions on Software Engineering, 14, 1743-1757.
64. Shepperd, M. J., & Kadoda, G. (2001). Using simulation to evaluate prediction techniques. Proceedings of the IEEE 7th International Software Metrics Symposium (pp. 349-358).
65. Shepperd, M. J., & Schofield, C. (1997). Estimating software project effort using analogies. IEEE Transactions on Software Engineering, 23(11), 736-743.
66. Shepperd, M. J., Schofield, C., & Kitchenham, B. (1996). Effort estimation using analogy. Proceedings of ICSE-18 (pp. 170-178).
67. Vliet, H. V. (2000). Software engineering: Principles and practice (2nd ed.). New York: John Wiley & Sons.
68. Conte, S., Dunsmore, H., & Shen, V. (1986). Software engineering metrics and models. Menlo Park, CA: Benjamin/Cummings.
69. Kemerer, C. F. (1987). An empirical validation of software cost estimation models. Communications of the ACM, 30(5), 416-429.
70. Kitchenham, B. A., MacDonell, S. G., Pickard, L. M., & Shepperd, M. J. (2001). What accuracy statistics really measure. IEE Proceedings Software, 148(3), 81-85.
71. Mendes, E., Mosley, N., & Counsell, S. (2003), September. Early Web size measures and effort prediction for Web costimation. Proceedings of the IEEE Metrics Symposium (pp. 8-29).
72. Myrtveit, I., & Stensrud, E. (1999). A controlled experiment to assess the benefits of estimating with analogy and regression models. IEEE Transactions on Software Engineering, 25(4), 510-525.
73. Shepperd, M. J., & Schofield, C. (1997). Estimating software project effort using analogies. IEEE Transactions on Software Engineering, 23(11), 736-743.
74. Shepperd, M. J., Schofield, C., & Kitchenham, B. (1996). Effort estimation using analogy. Proceedings of ICSE-18 (pp. 170-178).
75. Stensrud, E., Foss, T., Kitchenham, B. A., & Myrtveit, I. (2002). An empirical validation of the relationship between the magnitude of relative error and project size. Proceedings of the IEEE 8th Metrics Symposium (pp. 3-12).
76. Abrahao, S., Poels, G., & Pastor, O. (2004). Evaluating a functional size measurement method for Web applications: An empirical analysis. Proceedings of the 10th International Symposium on Software Measures (pp. 358-369).
77. Baresi, L., Morasca, S., & Paolini, P. (2003, September). Estimating the design effort of Web applications. Proceedings of Ninth International Software Measures Symposium (pp. 62-72).
78. Bevo, V., Lévesque, G., & Abran, A. (1999, September). Application de la méthode FFP à partir d'une spécification selon la notation UML: Compte rendu des premiers essais d'application et questions. International Workshop on Software Measurement (IWSM'99), Lac Supérieur, Canada.
79. Botafogo, R., Rivlin, A. E., & Shneiderman, B. (1992). Structural analysis of hypertexts: Identifying hierarchies and useful measures. ACM Transactions on Information Systems, 10(2), 143-179.
80. Bray, T. (1996, May). Measuring the Web. Proceedings of Fifth WWW Conference, Paris. Retrieved from http://www5conf.inria.fr/fich_html/papers/P9/Overview.html
81. Briand, L. C., & Wieczorek, I. (2002). Software resource estimation. In J. J. Marciniak (Ed.), Encyclopedia of software engineering: Vol. 2. P-Z (2nd ed., pp. 1160-1196). New York: John Wiley & Sons.
82. Calero, C., Ruiz, J., & Piattini, M. (2004). A Web measures survey using WQM. In Lecture notes in computer science: Vol. 3140. Proceedings of ICWE04 (pp. 147-160).
83. Christodoulou, S. P., Zafiris, P. A., & Papatheodorou, T. S. (2000). WWW2000: The developer's view and a practitioner's approach to Web engineering. Proceedings of the 2nd ICSE Workshop on Web Engineering (pp. 75-92).
84. Cleary, D. (2000). Web-based development and functional size measurement. Proceedings of the IFPUG 2000 Conference.
85. Conklin, J. (1987). Hypertext: An introduction and survey. Computer, 20(9), 17-41.
86. Cowderoy, A. J. C. (2000). Measures of size and complexity for Web-site content. Proceedings of the 11th ESCOM Conference (pp. 423-431).
87. Cowderoy, A. J. C., Donaldson, A. J. M., & Jenkins, J. O. (1998). A measures framework for multimedia creation. Proceedings of the 5th IEEE International Software Measures Symposium.
88. DeMarco, T. (1982). Controlling software projects: Management, measurement and estimation. New York: Yourdon Press.
89. Dhyani, D., Ng, W. K., & Bhowmick, S. S. (2002). A survey of Web measures. ACM Computing Surveys, 34(4), 469-503.
90. Fenton, N. E., & Pfleeger, S. L. (1997). Software measures: A rigorous & practical approach (2nd ed.). Boston: PWS Publishing Company & International Thomson Computer Press.
91. Fletcher, T., MacDonell, S. G., & Wong, W. B. L. (1997). Early experiences in measuring multimedia systems development effort. Proceedings of Multimedia Technology and Applications (pp. 211-220).
92. Hatzimanikatis, A. E., Tsalidis, C. T., & Chistodoulakis, D. (1995). Measuring the readability and maintainability of hyperdocuments. Journal of Software Maintenance, Research and Practice, 7, 77-90.
93. Institute of Electrical and Electronics Engineers (IEEE), Standard Taxonomy for Software Engineering Standards (ANSI). (1986). The Institute of Electrical and Electronics Engineers Inc.
94. Jones, T. C. (1998). Estimating software costs. New York: McGraw-Hill.
95. Kitchenham, B. A., Hughes, R. T., & Linkman, S. G. (2001). Modeling software measurement data. IEEE Transactions on Software Engineering, 27(9), 788-804.
96. Mangia, L., & Paiano, R. (2003). MMWA: A software sizing model for Web applications. Proceedings of WISE'03 (pp. 53-61).
97. Mendes, E., Counsell, S., & Mosley, N. (2000), June. Measurement and effort prediction of Web applications. Proceedings of 2nd ICSE Workshop on Web Engineering (pp. 57-74).
98. Mendes, E., Hall, W., & Harrison, R. (1999). Applying measurement principles to improve hypermedia authoring. New Review of Hypermedia and Multimedia, 5, 105-132.
99. Mendes, E., Mosley, N., & Counsell, S. (2001). Web measures: Estimating design and authoring effort. IEEE Multimedia, 8(1), 50-57.
100. Mendes, E., Mosley, N., & Counsell, S. (2002a). The application of case-based reasoning to early Web project cost estimation. Proceedings of IEEE COMPSAC (pp. 393-398).
101. Mendes, E., Mosley, N., & Counsell, S. (2002b). Comparison of Web size measures for predicting Web design and authoring effort. IEE Proceedings Software, 149(3), 86-92.
102. Mendes, E., Mosley, N., & Counsell, S. (2003). Investigating early Web size measures for Web costimation. Proceedings EASE2003 Conference.
103. Reifer, D. J. (2000). Web development: Estimating quick-to-market software. IEEE Software, 17(6), 57-64.
104. Rollo, T. (2000). Sizing e-commerce. Proceedings of ACOSM 2000, Sydney, Australia.
105. Umbers, P., & Miles, G. (2004), September. Resource estimation for Web applications. Proceedings of the 10th International Symposium on Software Measures (pp. 370-381).
106. Yamada, S., Hong, J., & Sugita, S. (1995). Development and evaluation of hypermedia for museum education: Validation of measures. ACM Transactions on Computer-Human Interaction, 2(4), 284-307.
107. Conte, S. D., Dunsmore, H. E., & Shen, V. Y. (1986). Software engineering metrics and models. Benjamin-Cummins.
108. Kirsopp, C., & Shepperd, M. (2001). Making inferences with small numbers of training sets (Tech. rep. No. Tr02-01). bournemouth, uK: bournemouth university.
109. Kitchenham, B. A. (1998). A procedure for analyzing unbalanced datasets. IEEE Transactions on Software Engineering, 24(4), 278-301.
110. Kitchenham, B. A., MacDonell, S. G., Pickard, L. M., & Shepperd, M. J. (2001). What accuracy statistics really measure. IEE Proceedings Software, 148(3), 81-85.
111. Maxwell, K. (2002). Applied statistics for software managers. Englewood Cliffs, Nj: Prentice hall PTr.
112. Mendes, E., Mosley, N., & Counsell, S. (2003). Early Web size measures and effort prediction for Web costimation. Proceedings of the IEEE Metrics Symposium (pp. 18-29).
113. Mendes, E., Mosley, N., & Counsell, S. (2005). Investigating Web size metrics for early Web cost estimation. Journal of Systems and Software, 77(2), 157-172.
114. Angelis, L., & Stamelos, I. (2000). A simulation tool for efficient analogy based cost estimation. Empirical Software Engineering, 5, 35-68.
115. Conte, S., Dunsmore, H., & Shen, V. (1986). Software engineering metrics and models. Menlo Park, CA: Benjamin/Cummings.
116. Kemerer, C. F. (1987). An empirical validation of software cost estimation models. Communications of the ACM, 30(5), 416-429.
117. Kirsopp, C., & Shepperd, M. (2001). Making inferences with small numbers of training sets (Tech. Rep. No. TR02-01). Bournemouth University.
118. Kitchenham, B. A. (1998). A procedure for analyzing unbalanced datasets. IEEE Transactions on Software Engineering, 24(4), 278-301.
119. Mendes, E., Counsell, S., & Mosley, N. (2000, June). Measurement and effort prediction of Web applications. Proceedings of the 2nd iCSE Workshop on Web Engineering (pp. 57-74).
120. Mendes, E., Mosley, N., & Counsell, S. (2001). Web metrics: Estimating design and authoring effort. IEEE multimedia, 8(1), 50-57.
121. Mendes, E., Mosley, N., & Counsell, S. (2002). The application of case-based reasoning to early Web project cost estimation. Proceedings of COmPSAC (pp. 393-398).
122. Mendes, E., Mosley, N., & Counsell, S. (2003a). Do adaptation rules improve Web cost estimation? Proceedings of the ACm Hypertext Conference 2003 (pp. 173-183).
123. Mendes, E., Mosley, N., & Counsell, S. (2003b), September. Early Web size measures and effort prediction for Web costimation. Proceedings of the iEEE metrics Symposium (pp. 18-29).
124. Mendes, E., Mosley, N., & Counsell, S. (2003c). A replicated assessment of the use of adaptation rules to improve Web cost estimation. Proceedings of the ACM and IEEE international Symposium on Empirical Software Engineering (pp. 100-109).
125. Mendes, E., Watson, I., Triggs, C., Mosley, N., & Counsell, S. (2002, June). A comparison of development effort estimation techniques for Web hypermedia applications. Proceedings of the IEEE metrics Symposium (pp. 141-151).
126. Myrtveit, I., & Stensrud, E. (1999). A controlled experiment to assess the benefits of estimating with analogy and regression models. IEEE Transactions on Software Engineering, 25(4), 510-525.
127. Shepperd, M. J., & Kadoda, G. (2001). Using simulation to evaluate prediction techniques. Proceedings of the IEEE 7th International Software Metrics Symposium (pp. 349-358).
128. Shepperd, M. J., & Schofield, C. (1997). Estimating software project effort using analogies. IEEE Transactions on Software Engineering, 23(11), 736-743.
129. Stensrud, E., Foss, T., Kitchenham, B. A., & Myrtveit, I. (2002). An empirical validation of the relationship between the magnitude of relative error and project size. Proceedings of the IEEE 8th Metrics Symposium (pp. 3-12).
130. Brieman, L., Friedman, J., Olshen, R., & Stone, C. (1984). Classification and regression trees. Belmont: Wadsworth.
131. Conte, S., Dunsmore, H., & Shen, V. (1986). Software engineering metrics and models. Menlo Park, CA: Benjamin/Cummings.
132. Mendes, E., Mosley, N., & Counsell, S. (2003), September. Early Web size measures and effort prediction for Web costimation. Proceedings of the IEEE Metrics Symposium (pp. 18-29).
133. Mendes, E., Watson, I., Triggs, C., Mosley, N., & Counsell, S. (2002, June). A comparison of development effort estimation techniques for Web hypermedia applications. Proceedings of IEEE Metrics Symposium (pp. 141-151).
134. Botafogo, R., Rivlin, A. E., & Shneiderman, B. (1992). Structural analysis of hypertexts: Identifying hierarchies and useful measures. ACM Transactions on Information Systems, 10(2), 143-179.
135. Briand, L. C., Langley, T., & Wieczorek, I. (2000). A replicated assessment of common software cost estimation techniques. Proceedings of the 22nd International Conference on Software Engineering (pp. 377-386).
136. Conte, S., Dunsmore, H., & Shen, V. (1986). Software engineering metrics and models. Menlo Park, CA: Benjamin/Cummings.
137. Kirsopp, C., & Shepperd, M. (2001). Making inferences with small numbers of training sets (Tech. Rep. No. TR02-01). Bournemouth, United Kingdom: Bournemouth University.
138. Kitchenham, B. A., MacDonell, S. G., Pickard, L. M., & Shepperd, M. J. (2001). What accuracy statistics really measure. IEE Proceedings Software, 148(3), 81-85.
139. Mendes, E., Counsell, S., & Mosley, N. (2000, June). Measurement and effort prediction of Web applications. Proceedings of the 2nd ICSE Workshop on Web Engineering (pp. 57-74).
140. Mendes, E., Mosley, N., & Counsell, S. (2001). Web metrics: Estimating design and authoring effort. IEEE multimedia, 8(1), 50-57.
141. Mendes, E., Mosley, N., & Counsell, S. (2003), April. Investigating early Web size measures for Web cost estimation. Proceedings of EASE2003 Conference (pp. 1-22).
142. Mendes, E., Watson, I., Triggs, C., Mosley, N., & Counsell, S. (2002, June). A comparison of development effort estimation techniques for Web hypermedia applications. Proceedings IEEE Metrics Symposium (pp. 141-151).
143. Moses, J. (1999). Learning how to improve effort estimation in small software development companies. Proceedings of the 24th International Computer Software and Applications Conference (pp. 522-527).
144. Reifer, D. J. (2000). Web development: Estimating quick-to-market software. IEEE Software, 17(6), 57-64.
145. Ruhe, M., Jeffery, R., & Wieczorek, I. (2003). Cost estimation for Web applications. Proceedings of ICSE 2003 (pp. 285-294).
146. Shepperd, M. J., & Kadoda, G. (2001). Using simulation to evaluate prediction techniques. Proceedings of the IEEE 7th International Software Metrics Symposium (pp. 349-358).
147. Atkinson, K., & Shepperd, M. (1994). Using function points to find cost analogies. Paper presented at the European Software Cost Modeling Meeting, Ivrea, Italy.
148. Bennett, S., McRobb, S., & Farmer, R. (2002). Object-oriented systems analysis and design using UML. McGraw Hill.
149. Bowden, P., Hargreaves, M., & Langensiepen, C. S. (2000). Estimation support by lexical analysis of requirement documents. Journal of Systems and Software, 51(2), 87-98.
150. Briand, L. C., Langley, T., & Wieczorek, I. (2000). A replicated assessment of common software cost estimation techniques. Proceedings of the 22nd International Conference on Software Engineering (pp. 377-386).
151. Burdman, J. (1999). Collaborative Web development: Strategies and best practices for Web teams. Addison-Wesley.
152. Fenton, N. E., & Pfleeger, S. L. (1997). Software metrics: A rigorous & practical approach (2nd ed.). Boston: PWS Publishing Company & International Thomson Computer Press.
153. Haire, B., Henderson-Sellers, B., & Lowe, D. (2001). Supporting Web development in the OPEN process: Additional tasks. Proceedings COMPSAC2001: International Computer Software and Applications Conference (pp. 383-392).
154. Heemstra, F. J., & Kusters, R. J. (1991). Function point analysis: Evaluation of a software cost estimation model. European Journal of Information Systems, 1(4), 223-237.
155. Jørgensen, M. (1997). An empirical evaluation of the MkII FPA estimation model. Paper presented at the Norwegian Informatics Conference, Voss, Norway.
156. Jørgensen, M. (2004). A review of studies on expert estimation of software development effort. Journal of Systems and Software, 7(1-2), 37-60.
157. Jørgensen, M., & Sjøberg, D. (2001). Impact of effort estimates on software project work. Information and Software Technology, 43, 939-948.
158. Jørgensen, M., & Sjøberg, D. I. K. (2002). Impact of experience on maintenance skills. Journal of Software Maintenance Evolution, 14, 1-24.
159. Kitchenham, B., Pfleeger, S. L., McColl, B., & Eagan, S. (2002). An empirical study of maintenance and development estimation accuracy. Journal of Systems and Software, 64, 57-77.
160. Kitchenham, B. A., Pickard, L., Linkman, S., & Jones, P. (2003). Modelling software bidding risks. Transactions on Software Engineering, 29(6), 542-554.
161. Kusters, R. J., Genuchten, M. J. I. M., & Heemstra, F. J. (1990). Are software costestimation models accurate? Information and Software Technology, 32(3), 187-190.
162. Lederer, A. L., & Prasad, J. (2000). Software management and cost estimation error. Journal of Systems and Software, 50, 33-42.
163. Lowe, D. (2003). Emergent knowledge in Web development. In A. Aurum, R. Jeffery, C. Wohlin, & M. Handzic (Eds.), Managing software engineering knowledge (pp. 157-176). Berlin, Germany: Springer Verlag.
164. Mcdonald, A. (2004). The agile Web engineering (AWE) process. Unpublished doctoral dissertation, Department of Computing Science, University of Glasgow, Glasgow, Scotland.
165. McDonald, A., & Welland, R. (2001). Web engineering in practice. Proceedings of the Fourth WWW10 Workshop on Web Engineering (pp. 21-30).
166. Mendes, E., Mosley, N., & Counsell, S. (2005). Investigating Web size metrics for early Web cost estimation. Journal of Systems and Software, 77(2), 157-172.
167. Moløkken, K., & Jørgensen, M. (2005). Expert estimation of Web-development projects: Are software professionals in technical roles more optimistic than those in non-technical roles? Empirical Software Engineering, 10(1), 7-30.
168. Moses, J. (1999). Learning how to improve effort estimation in small software development companies. Proceedings of the 24th International Computer Software and Applications Conference (pp. 522-527).
169. Mukhopadhyay, T., Vicinanza, S. S., & Prietula, M. J. (1992). Examining the feasibility of a case-based reasoning model for software effort estimation. MIS Quarterly, 155-171.
170. Myrtveit, I., & Stensrud, E. (1999). A controlled experiment to assess the benefits of estimating with analogy and regression models. Transactions on Software Engineering, 25, 510-525.
171. Ohlsson, N., Wohlin, C., & Regnell, B. (1998). A project effort estimation study. Information and Software Technology, 40, 831-839.
172. Pengelly, A. (1995). Performance of effort estimating techniques in current development environments. Software Engineering Journal, 162-170.
173. Pressman, R. S. (2000). What a tangled web we weave. IEEE Software, 17(1), 18-21.
174. Reifer, D. J. (2000). Web development: Estimating quick-to-market software. IEEE Software, 17(6), 57-64.
175. Royce, W. W. (1987). Managing the development of large software systems: Concepts and techniques. Proceedings of the Ninth International Conference on Software Engineering, 328-338. (Reprinted from WESCON technical papers, Vol. 14, pp. A/1-1-A/1-9, 1970, Los Angeles: WESCON)
176. Vicinanza, S. S., Mukhopadhyay, T., & Prietula, M. J. (1991). Software effort estimation: An exploratory study of expert performance. Information Systems Research, 2(4), 243-262.
177. Walkerden, F., & Jeffery, R. (1999). An empirical study of analogy-based software effort estimation. Journal of Empirical Software Engineering, 4, 135-158.
178. Ward, S., & Kroll, P. (1999). Building Web solutions with the rational unified process: Unifying the creative design process and the software engineering process. Rational Software Corporation. Retrieved from http://www.rational.com/
179. Fenton, N. E., & Pfleeger, S. L. (1997). Software metrics: A rigorous and practical approach (2nd ed.). Boston: PWS Publishing Company.
180. Fielding, J., & Gilbert, N. (2006). Understanding social statistics (2nd ed.). London: Sage Publications.
181. Healey, J. F. (1993). Statistics: A tool for social research (3rd ed.). CA: Wadsworth Publishing Company.
182. Hollander, M., & Wolfe, D. A. (1973). Nonparametric statistical methods (1st ed.). New York: John Wiley & Sons.
183. Kitchenham, B. A., MacDonell, S. G., Pickard, L. M., & Shepperd, M. J. (2001). What accuracy statistics really measure. IEE Proceedings Software, 148(3), 81-85.
184. Lowry, R. (2006). Concepts and applications of inferential statistics. Retrieved July 2006 from http://faculty.vassar.edu/lowry/webtext.html
185. Maxwell, K. (2005). What you need to know about statistics. In E. Mendes & N. Mosley (Eds.), Web engineering (pp. 365-407). Germany: Springer-Verlag.
186. Sapsford, R., & Jupp, V. (Eds.). (2006). Data collection and analysis. London: Sage Publications.
187. Wild, J. C., & Seber, G. A. F. (2000). Chance encounters: A first course in data analysis and inference (1st ed.). New York: John Wiley & Sons.
188. Wohlin, C., Runeson, P., Host, M., Ohlsson, M. C., Regnell, B., & Wesslen, A. (2000). Experimentation in software engineering: An introduction (1st ed.). MA: Kluwer Academic Publishers.
189. American heritage concise dictionary (3rd ed.). (1994). Houghton Mifflin Company.
190. Basili, V. R. (1996). The role of experimentation in software engineering: Past, current, and future. Proceedings of the 18th International Conference on Software Engineering, 442-449.
191. Basili, v. R., Shull, F., & Lanubile, F. (1999). Building knowledge through families of experiments. IEEE Transactions on Software Engineering, 25(4), 456-473.
192. Collins English dictionary. (2000). Harper Collins Publishers.
193. Fenton, N. E., & Pfleeger, S. L. (1997). Software metrics: A rigorous and practical approach (2nd ed.). Boston: PWS Publishing Company.
194. Gellersen, H., & Gaedke, M. (1999). Object-oriented Web application development. IEEE Internet Computing, 3(1), 60-68.
195. Gellersen, H., Wicke, R., & Gaedke, M. (1997). WebComposition: An object-oriented support system for the Web engineering lifecycle. Journal of Computer Networks and ISDN Systems, 29(8-13), 865-1553.
196. Ginige, A. (2002, July). Workshop on Web engineering. Web engineering: Managing the complexity of Web systems development. Proceedings of the 14th International Conference on Software Engineering and Knowledge Engineering (pp. 72-729).
197. Ginige, A., & Murugesan, S. (2001). Web engineering: An introduction. IEEE Multimedia, 8(1), 14-18.
198. Goldstein, M., & Goldstein, I. F. (1978). How we know: An exploration of the scientific process. New York: Plenum Press.
199. Kitchenham, B. A., Pfleeger, S. L., Pickard, L. M., Jones, P. W., Hoaglin, D. C., El Emam, K., et al. (2002). Preliminary guidelines for empirical research in software engineering. IEEE Transactions on Software Engineering, 28(8), 721-734.
200. Lee, S. C., & Shirani, A. I. (2004). A component based methodology for Web application development. Journal of Systems and Software, 71(1-2), 177-187.
201. McGarry, J., Card, D., Jones, C., Layman, B., Clark, E., Dean, J., & Hall, F. (2002). Practical software measurement: Objective information for decision makers. Addison-Wesley Professional.
202. Murugesan, S., & Deshpande, Y. (2001). Web engineering, managing diversity and complexity of Web application development. In Lecture notes in computer science (vol. 2016). Heidelberg, Germany: Springer verlag.
203. Murugesan, S., & Deshpande, Y. (2002). Meeting the challenges of Web application development: The Web engineering approach. Proceedings of the 24th International Conference on Software Engineering (pp. 687-688).
204. Offutt, J. (2002). Quality attributes of Web software applications. IEEE Software, 19(2), 25-32.
205. Pfleeger, S. L., Jeffery, R., Curtis, B., & Kitchenham, B. A. (1997). Status report on software measurement. IEEE Software, 14(2), 33-43.
206. Porter, A. A., Siy, H. P., Toman, C. A., & votta, L. G. (1997). An experiment to assess the cost-benefits of code inspections in large scale software development. Transactions on Software Engineering, 23(6), 329-346.
207. Pressman, R. S. (1998). Can Internet-based applications be engineered? IEEE Software, 15(5), 104-110.
208. Ricca, F., & Tonella, P. (2001). Analysis and testing of Web applications. Proceedings of the 23rd International Conference on Software Engineering (pp. 25-34).
209. Taylor, M. J., McWilliam, J., Forsyth, H., & Wade, S. (2002). Methodologies and Website development: A survey of practice. Information and Software Technology, 44(6), 381-391.
210. Wikipedia. (n.d.). Retrieved October 25, 2004, from http://en.wikipedia.org/wiki/Main_Page
211. Wild, C., & Seber, G. (2000). Chance encounters: A first course in data analysis and inference. New York: john Wiley & Sons.
212. Wohlin, C., Host, M., & Henningsson, K. (2005). Empirical research methods in Web and software engineering. In E. Mendes & N. Mosley (Eds.), Web engineering (pp. 409-430). Heidelberg, Germany: Springer-verlag.