A replicated comparison of cross-company and within-company effort estimation models using the ISBSG database

Proceedings - International Software Metrics Symposium

Volumn 2005, Issue , 2005, Pages 331-340

  Mendes, Emilia ^a   Lokan, Chris ^b   Harrison, Robert ^a   Triggs, Chris ^a  

^a UNIVERSITY OF AUCKLAND   (New Zealand)

^b UNIVERSITY OF NEW SOUTH WALES   (Australia)

Author keywords

Cross company estimation models; Effort estimation; Regression based estimation models; Replication study; Software projects; Within company estimation model

Indexed keywords

CROSS COMPANY ESTIMATION MODELS; EFFORT ESTIMATION; REGRESSION BASED ESTIMATION MODELS; REPLICATION STUDY; SOFTWARE PROJECTS;

COSTS; MATHEMATICAL MODELS; PARAMETER ESTIMATION; PROJECT MANAGEMENT;

DATABASE SYSTEMS;

EID: 33749066964     PISSN: 15301435     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/METRICS.2005.4     Document Type: Conference Paper

References (21)

1. Briand, L.C., K. El-Emam, K. Maxwell, D. Surmann, I. Wieczorek. An assessment and comparison of common cost estimation models. Proceedings of the 21st International Conference on Software Engineering, ICSE 99, 1999, pp 313-322.
2. Briand, L.C., T. Langley, I. Wieczorek. A replicated assessment of common software cost estimation techniques. Proceedings of the 22nd International Conference on Software Engineering, ICSE 20, 2000, pp 377-386.
3. th 2003, IEEE Computer Society, pp 154-165, 2003.
4. Conte, S. D., Dunsmore, H. E., Shen, V. Y. Software Engineering Metrics and Models, Benjamin-Cummins, 1986.
5. Cook, R.D. Detection of influential observations in linear regression. Technometrics, 19, 1977, pp 15-18.
6. Jeffery, R., M. Ruhe and I. Wieezorek. A Comparative Study of Two Software Development Cost Modeling Techniques using Multi-organizational and Company-specific Data. Information and Software Technology, 42, 2000, pp 1009-1016.
7. Jeffery, R., M. Ruhe and I. Wieczorek. Using public domain metrics to estimate software development effort. Proceedings Metrics'01, London, 2001, pp 16-27.
8. Kemerer, C.F. An empirical validation of software cost estimation models. Communications ACM, 30(5), 1987.
9. Kitchenham, B.A. A procedure for analysing unbalanced data sets. IEEE Trans. Software Engineering. 24(4), 1998, pp 278-301.
10. Kitchenham, B.A., and E. Mendes. A Comparison of Cross-company and Within-company Effort Estimation Models for Web Applications, Proceedings EASE 2004, 2004, pp 47-55.
11. Kitchenham, B.A. and N.R. Taylor. Software cost models. ICL Technical Journal, May 1984, pp73-102.
12. Kitchenham, B.A., L.M. Pickard, S.G. MacDonell and M.J. Shepperd. What accuracy statistics really measure. IEE Proceedings - Software, 148(3), June 2001, pp 81-85.
13. Kirsopp, C. and Shepperd, M. Making Inferences with Small Numbers of Training Sets, IEE Proceedings Software, 149, pp 123-130, 2002.
14. Lefley, M., and M.J. Shepperd, Using Genetic Programming to Improve Software Effort Estimation Based on General Data Sets, Proceedings of GECCO 2003, LNCS 2724, Springer-Verlag, pp 2477-2487, 2003.
15. Maxwell, K. Applied Statistics for Software Managers. Software Quality Institute Series, Prentice Hall, 2002.
16. Maxwell, K., L.V. Wassenhove, and S. Dutta, Performance Evaluation of General and Company Specific Models in Software Development Effort Estimation, Management Science, 45(6), June, pp 787-803, 1999.
17. th 2004, IEEE Computer Society, pp 348-357, 2004.
18. Mendes, E., N. Mosley, and S. Counsell, A Replicated Assessment of the Use of Adaptation Rules to Improve Web Cost Estimation, Proceedings of ISESE'2003 Conference, Rome, September, 2003, pp 100-109.
19. th International Software Metrics Symposium, London, UK, 2001, pp. 349-358.
20. Wieczorek, I. and M. Ruhe. How valuable is company-specific data compared to multi-company data for software cost estimation?. Proceedings Metrics'02, Ottawa, June 2002, pp 237-246.
21. Wilcoxon, F. Individual comparisons by ranking methods. Biometrics, 1, 1945, pp 80-83.