LSEbA: Least squares regression and estimation by analogy in a semi-parametric model for Software Cost Estimation

Empirical Software Engineering

Volumn 15, Issue 5, 2010, Pages 523-555

  Mittas, Nikolaos ^a   Angelis, Lefteris ^a  

^a ARISTOTLE UNIVERSITY OF THESSALONIKI   (Greece)

Author keywords

Estimation by analogy; Regression analysis; Semi parametric model; Software cost estimation

Indexed keywords

COMPARISON STUDY; DATA SETS; ESTIMATION BY ANALOGY; GRAPHICAL TOOLS; LEAST SQUARES REGRESSION; MISSING VALUES; NATURE OF SOFTWARE; NON-PARAMETRIC ESTIMATIONS; PARAMETRIC REGRESSION; PREDICTION TECHNIQUES; REGRESSION ERRORS; SEMIPARAMETRIC; SEMIPARAMETRIC MODELS; SOFTWARE COST ESTIMATIONS;

COMPUTER SOFTWARE; COST BENEFIT ANALYSIS; COSTS; METAL ANALYSIS; MODELS; REGRESSION ANALYSIS; STATISTICAL TESTS; STATISTICS;

PARAMETER ESTIMATION;

EID: 77954759852     PISSN: 13823256     EISSN: 15737616     Source Type: Journal    
DOI: 10.1007/s10664-010-9128-6     Document Type: Article

References (37)

1. Angelis L, Stamelos I, Morisio M (2001) Building a software cost estimation model based on categorical data. Proceedings of the IEEE 8th International Symposium on Software Metrics, pp. 4-15.
2. Anglin P, Gencay R (1996) Semiparametric estimation of a hedonic price function. J Appl Econ 11(6):633-648.
3. Bi J, Bennet K-P (2003) Regression error characteristics curves. Proceedings of the AIII 20th International Conference on Machine Learning, pp. 43-50.
4. Briand L, Langley T, Wieczorek I (2000) A replicated assessment and comparison of common software cost modeling techniques. Proceedings of the IEEE International Conference Software Engineering, pp. 377-386.
5. Cartwright MH, Shepperd MJ, Song Q (2003) Dealing with missing software project data Proceedings of the METRICS, pp. 154-165.
6. Foss T, Stensrud E, Kitchenham B, Myrtveit I (2003) A simulation study of the model evaluation criterion MMRE. IEEE Trans Softw Eng 29(11):985-995.
7. Hardle W (1990) Applied non-parametric regression. Economics Society Monographs, Cambridge University Press.
8. Hardle W, Liang H, Gao J (2000) Partially linear models. Physica-Verlag, Heidelberg.
9. ISBSG Dataset 10 (2007), http://www.isbsg.org.
10. Jorgensen M, Shepperd M (2007) A systematic review of software development cost estimation studies. IEEE Trans Softw Eng 33(1):33-53.
11. Kaufman L, Rousseeuw P (1990) Finding groups in data: an introduction to cluster analysis. John Wiley, New York.
12. Kitchenham B (1998) A procedure for analyzing unbalanced datasets. IEEE Trans Softw Eng 24(4):278-301.
13. Kitchenham B, Mendes E (2004) A comparison of cross-company and within-company effort estimation models for web applications. Proceedings of the Empirical Assessment in Software Engineering, pp. 47-55.
14. Kitchenham B, Pickard L, MacDonell S, Shepperd M (2001) What accuracy statistics really measure. IEE Proc Software 148(3):81-85.
15. Kitchenham B, Pfleeger L, McColl B, Eagan S (2002) A case study of maintenance estimation accuracy. J Syst Softw 64(1):57-77.
16. Korte M, Port D (2008) Confidence in software cost estimation results based on mmre and pred. Proceedings of the 4th ACM International Workshop on Predictor Models in Software Engineering, pp. 63-70.
17. Liebchen G, Shepperd M (2008) Data sets and data quality in software engineering. Proceedings of the 4th ACM International Workshop on Predictor Models in Software Engineering, pp. 39-44.
18. Lokan C, Mendes E (2006) Cross-company and single-company effort models using the ISBSG database: a further replicated study. Proceedings of the ACM-IEEE International Symposium on Empirical Software Engineering, pp. 75-84.
19. MacDonell S, Shepperd M (2003) Combining techniques to optimize effort predictions in software project management. J Syst Softw 66(2):91-98.
20. Mair C, Shepperd M (2005) The consistency of empirical comparisons of regression and analogy-based software project cost prediction. Proceedings of the International Symposium on Empirical Software Engineering, pp. 509-518.
21. Mendes E, Kitchenham BA (2004) Further comparison of cross-company and within company effort estimation models for web applications. Proceedings of the 10th IEEE International Symposium on Software Metrics, pp. 348-357.
22. Mendes E, Lokan C (2008) Replicating studies on cross-vs single-company effort models using the ISBSG database. Emp Softw Eng 13(1):3-37.
23. Mendes E, Lokan C, Harrison R, Triggs C (2005) A replicated comparison of cross-company and within-company effort estimation models using the ISBSG database. Proceedings of the IEEE 11th International Software Metrics Symposium, pp. 36-46.
24. Mittas N, Athanasiades M, Angelis L (2008) Improving analogy-based software cost estimation by a resampling method. Inform Softw Technol 50(3):221-230.
25. Mittas N, Angelis L (2008a) Combining regression and estimation by analogy in a semi-parametric model for software cost estimation. Proceedings of the ACM-IEEE 2nd International Symposium on Empirical Software Engineering and Management, pp. 70-79.
26. Mittas N, Angelis L (2008b) Comparing cost prediction models by resampling techniques. J Syst Softw 81 (5):616-632.
27. Mittas N, Angelis L (2008c) Comparing software cost prediction models by a visualization tool. Proceedings of the IEEE 34th Euromicro Conference on Software Engineering and Advanced Applications, pp. 433-440.
28. Myrtveit I, Stensrud E, Olsson U (2001) Analyzing data sets with missing data: an empirical evaluation of imputation methods and likelihood-based methods. IEEE Trans Softw Eng 27(11):999-1013.
29. Myrtveit I, Stensrud E, Shepperd M (2005) Reliability and validity in comparative studies of software prediction models. IEEE Trans Softw Eng 31(5):380-391.
30. NASA93 (2007) Dataset, http://promisedata.org/repository/#nasa93. (NASA93 2007).
31. Port D, Korte M (2008) Comparative studies of the model evaluation criterions mmre and pred in software cost estimation research. Proceedings of the ACM-IEEE 2nd International Symposium on Empirical Software Engineering and Management, pp. 51-60.
32. Robinson P (1988) Root-n-consistent semiparametric regression. Econometrica 56(4):931-954.
33. Sentas P, Angelis L, Stamelos I, Bleris G (2005) Software productivity and effort prediction with ordinal regression. Inform Softw Technol 47:17-29.
34. Shepperd M, Schofield C (1997) Estimating software project effort using analogies. IEEE Trans Softw Eng 23(11):736-743.
35. Sheskin DJ (2004) Handbook of parametric and nonparametric statistical procedures (Third Edition) Chapman & Hall/CRC.
36. Strike K, Emam KE, Madhavji N (2001) Software cost estimation with incomplete data. IEEE Trans Softw Eng 27(10):890-908.
37. Wissmann M, Toutenburg H, Shalabh (2007) Role of categorical variables in multicollinearity in the linear regression model. Technical Report, Number 008, Department of Statistics, University of Munich.