Web effort estimation

Web Engineering

Volumn , Issue , 2006, Pages 29-73

  Mendes, Emilia ^a   Mosley, Nile ^b   Counsell, Steve ^c  

^a UNIVERSITY OF AUCKLAND   (New Zealand)

^b MetriQ Limited   (New Zealand)

^c BRUNEL UNIVERSITY   (United Kingdom)

Author keywords

Data analysis; Effort models; Manual stepwise regression; Prediction accuracy; Web effort estimation; Web size measures

Indexed keywords

EID: 84892332645     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1007/3-540-28218-1_2     Document Type: Chapter

References (39)

1. Angelis L, Stamelos I (2000) A Simulation Tool for Efficient Analogy Based Cost Estimation. Empirical Software Engineering, 5:35-68
2. Boehm B (1981) Software Engineering Economics. Prentice-Hall, Englewood Cliffs, NJ
3. Briand LC, El-Emam K, Surmann D, Wieczorek I, Maxwell KD (1999) An Assessment and Comparison of Common Cost Estimation Modeling Techniques. In: Proceedings of ICSE 1999, Los Angeles, USA, pp 313-322
4. Briand LC, Langley T, Wieczorek I (2000) A Replicated Assessment and Comparison of Common Software Cost Modeling Techniques. In: Proceedings of ICSE 2000, Limerick, Ireland, pp 377-386
5. Brieman L, Friedman J, Olshen R, Stone C (1984) Classification and Regression Trees. Wadsworth, Belmont.,CA
6. Conte S, Dunsmore H, Shen V (1986) Software Engineering Metrics and Models. Benjamin/Cummings, Menlo Park, CA
7. DeMarco T (1982) Controlling Software Projects: Management, Measurement and Estimation. Yourdon, New York
8. Finnie GR, Wittig GE, 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
9. Gray A, MacDonell S (1997) Applications of Fuzzy Logic to Software Metric Models for Development Effort Estimation. In: Proceedings of IEEE Annual Meeting of the North American Fuzzy Information Processing Society - NAFIPS, Syracuse, NY, USA, pp 394-399
10. Gray AR, MacDonell SG (1997) A comparison of model building techniques to develop predictive equations for software metrics. Information and Software Technology, 39:425-437
11. Gray R, MacDonell SG, Shepperd MJ (1999) Factors Systematically associated with errors in subjective estimates of software development effort: the stability of expert judgement. In: Proceedings of the 6th IEEE Metrics Symposium
12. Hughes RT (1997) An Empirical investigation into the estimation of software development effort. PhD thesis, Dept. of Computing, University of Brighton
13. 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
14. Jeffery R, Ruhe M, Wieczorek I (2001) Using Public Domain Metrics to Estimate Software Development Effort. In: Proceedings of the 7th IEEE Metrics Symposium, London, UK, pp 16-27
15. Kadoda G, Cartwright M, Chen L, Shepperd MJ (2000) Experiences Using Case-Based Reasoning to Predict Software Project Effort. In: Proceedings of the EASE 2000 Conference, Keele, UK
16. Kemerer CF (1987) An Empirical Validation of Software Cost Estimation Models, Communications of the ACM, 30(5):416-429
17. Kirsopp C, Shepperd M (2001) Making Inferences with Small Numbers of Training Sets, January, TR02-01, Bournemouth University
18. Kitchenham BA (1998) A Procedure for Analyzing Unbalanced Datasets. IEEE Transactions on Software Engineering, April, 24(4):278-301
19. Kitchenham BA, MacDonell SG, Pickard LM, Shepperd MJ (2001) What accuracy statistics really measure. IEE Proceedings Software, June, 148(3):81-85
20. Kitchenham BA, Pickard LM, Linkman S, Jones P (2003) Modelling Software Bidding Risks. IEEE Transactions on Software Engineering, June, 29(6):54-554
21. Kok P, Kitchenham BA, Kirakowski J (1990) The MERMAID Approach to software cost estimation. In: Proceedings of the ESPRIT Annual Conference, Brussels, pp 296-314
22. Kumar S, Krishna BA, Satsangi PS (1994) Fuzzy systems and neural networks in software engineering project management. Journal of Applied Intelligence, 4:31-52
23. Maxwell K (2002) Applied Statistics for Software Managers. Prentice Hall PTR, Englewood Cliffs, NJ
24. Mendes E, Counsell S, Mosley N (2000) Measurement and Effort Prediction of Web Applications. In: Proceedings of the 2nd ICSE Workshop on Web Engineering, June, Limerick, Ireland, pp 57-74
25. Mendes E, Mosley N, Counsell S (2001) Web Metrics - Estimating Design and Authoring Effort. IEEE Multimedia, Special Issue on Web Engineering, January/March:50-57
26. Mendes E, Mosley N, Counsell S (2002) The Application of Case-Based Reasoning to Early Web Project Cost Estimation. In: Proceedings of COMPSAC 2002, Oxford, UK
27. Mendes E, Mosley N, Counsell S (2003) Do Adaptation Rules Improve Web Cost Estimation?. In: Proceedings of the ACM Hypertext conference 2003, Nottingham, UK
28. Mendes E, Mosley N, Counsell S (2003) A Replicated Assessment of the Use of Adaptation Rules to Improve Web Cost Estimation. In: Proceedings of the ACM and IEEE International Symposium on Empirical Software Engineering. Rome, Italy, pp 100-109
29. Mendes E, Mosley N, Counsell S (2003) Early Web Size Measures and Effort Prediction for Web Costimation. In: Proceedings of the IEEE Metrics Symposium. Sydney, Australia, September, pp 18-29
30. Myrtveit I, Stensrud E (1999) A Controlled Experiment to Assess the Benefits of Estimating with Analogy and Regression Models. IEEE Transactions on Software Engineering, July/August, 25(4):510-525
31. Ruhe M, Jeffery R, Wieczorek I (2003) Cost Estimation for Web Applications. In: Proceedings of ICSE 2003. Portland, USA
32. Schofield C (1998) An empirical investigation into software estimation by analogy. PhD thesis, Dept. of Computing, Bournemouth University
33. Schroeder L, Sjoquist D, Stephan P (1986) Understanding Regression Analysis: An Introductory Guide, No. 57. In: Quantitative Applications in the Social Sciences, Sage Publications, Newbury Park, CA
34. Selby RW, Porter AA (1998) Learning from examples: generation and evaluation of decision trees for software resource analysis. IEEE Transactions on Software Engineering, 14:1743-1757
35. Shepperd MJ, Kadoda G (2001) Using Simulation to Evaluate Prediction Techniques. In: Proceedings of the IEEE 7th International Software Metrics Symposium, London, UK, pp 349-358
36. Shepperd MJ, Schofield C (1997) Estimating Software Project Effort Using Analogies. IEEE Transactions on Software Engineering, 23(11):736-743
37. Shepperd MJ, Schofield C, Kitchenham B (1996) Effort Estimation Using Analogy. In: Proceedings of ICSE-18. Berlin
38. Srinivasan K, Fisher D (1995) Machine Learning approaches to estimating software development effort. IEEE Transactions on Software Engineering, 21:126-137
39. Stensrud E, Foss T, Kitchenham BA, Myrtveit I (2002) An Empirical validation of the relationship between the magnitude of relative error and project size. In: Proceedings of the IEEE 8th Metrics Symposium. Ottawa, pp 3-12