SW cost estimation: Measuring model performance of arbitrary function approximators

Proceedings of the Eigtht IASTED International Conference on Software Engineering and Applications

Volumn , Issue , 2004, Pages 449-455

  Myrtveit, Ingunn ^a   Stensrud, Erik ^b  

^a BI NORWEGIAN BUSINESS SCHOOL   (Norway)

^b UNIVERSITY OF SOUTH EASTERN NORWAY   (Norway)

Author keywords

Arbitrary function approximators; Artificial intelligence; Case based reasoning; Classification and regression trees; Estimation by analogy; Software cost estimation

Indexed keywords

APPROXIMATION THEORY; COMPUTER SOFTWARE; DATA REDUCTION; FUNCTIONS; PERFORMANCE; PROBLEM SOLVING; REGRESSION ANALYSIS; SOFTWARE ENGINEERING;

ARBITRARY FUNCTION APPROXIMATORS; CASE-BASED REASONING; CLASSIFICATION TREES; ESTIMATION BY ANALOGY; REGRESSION TREES; SOFTWARE COST ESTIMATIONS;

ARTIFICIAL INTELLIGENCE;

EID: 11144243139     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (31)

1. The COCOMO II Suite, http://sunset.usc.edu/research/cocomosuite/index. html.
2. M. Shepperd and C. Schofield, Estimating software project effort using analogies, IEEE Trans. Software Eng., 25(12), 1997, 736-743.
3. I. Myrtveit, and E. Stensrud, A controlled experiment to assess the benefits of estimating with analogy and regression models, IEEE Trans. Software Eng. 2.5(4), 1999, 510-525.
4. L.C. Briand, K. El-Emam, K. Maxwell, D. Surmann, and I. Wieczorek, An assessment and comparison of common cost software project estimation methods, Proc. 21st International Conference on Software Engineering (ICSE 21), ACM Press, 1999, 313-322.
5. L.C. Briand, T. Langley, and I Wieczorek, A replicated assessment and comparison of common software cost modeling techniques, Proc. International Conference on Software Engineering (ICSE 22), ACM Press, 2000, 377-386.
6. R. Srinivasan and D Fisher, Machine learning approaches to estimating software development effort, IEEE Trans. Software Eng., 21(2), 1995, 126-137.
7. M. Jørgensen, Experience with the accuracy of software maintenance task effort prediction models, IEEE Trans. Software Eng. 27(8), 1995, 674-681.
8. M. Shepperd and M. Cartwright, Predicting with sparse data, IEEE Trans. Software Eng., 27(11), 2001, 987-998.
9. S.S. Vicinanza, T. Mukhopadhyay, and M.J. Prietula, Software effort estimation: An exploratory study of expert performance, IS Research, 2(4), 1991, 243-262.
10. T. Mukhopadhyay, S.S. Vicinanza, and M.J. Prietula, Examining the feasibility of a case-based reasoning model for software effort estimation, MIS Quarterly, June, 1992, 155-171.
11. LC. Briand, V.R. Basili, and W.M. Thomas, A pattern recognition approach for software engineering data analysis, IEEE Trans. Software Eng., 18(11), 1992, 931-942.
12. LC. Briand and I. Wieczorek, Resource modeling in software engineering, in Encyclopedia of Software Engineering, 2 Volume Set (Ed. J. Marciniak, Wiley, 2001).
13. T. Foss, I. Myrtveit, and E. Stensrud, A comparison of LAD and OLS regression for effort prediction of software projects, Proc. 12th European Software Control and Metrics Conference (ESCOM 2001), Shaker Publishing BV, The Netherlands, 2001, 9-15.
14. A.R. Gray, and S.G. MacDonell, Software metrics data analysis - Exploring the relative performance of some commonly used modeling techniques, Empirical Software Engineering, 4, 1999, 297-316.
15. R. Jeffery, M. Ruhe, and I. Wieczorek, Using public domain metrics to estimate software development effort, Proc. METRICS 2001, IEEE Computer Society, Los Alamitos CA, 2001, 16-27.
16. Y. Miyazaki, M Terakado, K Ozaki, and H Nozaki, Robust regression for developing software estimation models, Journal of Systems and Software, 27, 1994, 3-16.
17. P. Nesi and T. Querci, Effort estimation and prediction for object-oriented systems, Journal of Systems and Software, 42, 1998, 89-102.
18. L. Pickard, B. Kitchenham, and S. Linkman, An investigation of analysis techniques for software datasets, Proc. METRICS 99, IEEE Computer Society, Los Alamitos CA, 1999, 130-142.
19. L.C. Briand, K. El-Emam, and I. Wieczorek, A case study in productivity benchmarking: methods and lessons learned, Proc. 9th European Software Control and Metrics Conference (ESCOM), Shaker Publishing BV, The Netherlands 1998, 4-14.
20. B.A. Kitchenham, A procedure for analyzing unbalanced datasets, IEEE Trans. Software Eng., 24(4), 1998, 278-301.
21. L.C. Briand, V.R. Basili, and CJ. Hetmanski, Developing interpretable models with optimized set reduction for identifying high-risk software components, IEEE Trans. Software Eng., 19(11), 1993, 1028-1044.
22. R. Jeffery and F. Walkerden, Analogy, regression and other methods for estimating effort and software quality attributes, Proc. ESCOM'99, Shaker Publishing BV, The Netherlands, 1999, 37-46.
23. M. Shepperd and G. Kadoda, Comparing software prediction techniques using simulation, IEEE Trans. Software Eng., 27(11), 2001, 1014-1022.
24. E. Stensrud and I. Myrtveit, Human performance estimating with analogy and regression models: An empirical validation, Proc. METRICS'98, IEEE Computer Society Press, Los Alamitos CA, 1998, 205-213.
25. F. Walkerden and R. Jeffery, An empirical study of analogy-based software effort estimation, Empirical Software Eng., 4(2), 1999, 135-158.
26. B. Samson, D. Ellison, and P. Dugard, Software cost estimation using and Albus Perceptron (CMAC), Inf. and Software Tech. 39, 1997, 55-60.
27. B. Efron, and G Gong, A leisurely look at the bootstrap, the jackknife, and cross-validation, The American Statistician, 37(1), 1983, 36-48.
28. L.C. Briand, K. El-Emam, and I. Wieczorek, Explaining the cost of European space and military projects, Proc. 21st International Conference on Software Engineering (ICSE 21), ACM Press, 1999, 303-312.
29. S.Dd Conte, H.E Dunsmore, and V.Y. Shen, Software Engineering Metrics and Models, (Benjamin/ Cummings, Menlo Park CA, 1986).
30. K. Strike, K. El-Emam, and N. Madhavji, Software cost estimation with incomplete data, IEEE Trans. Software Eng., 27(10), 2001, 890-908.
31. L. Brieman, J. Friedman, R. Olshen, and C. Stone, Classification and regression trees, (Wadsworth Inc., Belmont CA, 1984).