Segmented software cost estimation models based on fuzzy clustering

Journal of Systems and Software

Volumn 81, Issue 11, 2008, Pages 1944-1950

  Aroba, Javier ^a   Cuadrado Gallego, Juan J ^b   Sicilia, Miguel Ángel ^b   Ramos, Isabel ^c   García Barriocanal, Elena ^b  

^a UNIVERSITY OF HUELVA   (Spain)

^b UNIVERSITY OF ALCALÁ   (Spain)

^c UNIVERSITY OF SEVILLE   (Spain)

Author keywords

Fuzzy clustering; Parametric software estimation models; Software effort estimation

Indexed keywords

CANNING; CHLORINE COMPOUNDS; CLUSTER ANALYSIS; CONCRETE CONSTRUCTION; COST BENEFIT ANALYSIS; DATABASE SYSTEMS; ESTIMATION; FLOW OF SOLIDS; FUZZY CLUSTERING; FUZZY SETS; FUZZY SYSTEMS; MODAL ANALYSIS; PARAMETER ESTIMATION;

CONCRETE MODELING; CONSTANT TIME; ESTIMATION PROCESSES; MATHEMATICAL MODELLING; MATHEMATICAL RELATIONS; MODEL BASED; PARAMETRIC MODELING; PARAMETRIC SOFTWARE ESTIMATION MODELS; PROJECT DATA BASE; SOFTWARE COST ESTIMATIONS; SOFTWARE EFFORT ESTIMATION; SOFTWARE PRODUCTS; SOFTWARE PROJECTS;

MATHEMATICAL MODELS;

EID: 52049112321     PISSN: 01641212     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jss.2008.01.016     Document Type: Article

References (25)

1. Aroba, J., 2003. Ph.D. Thesis: Advances in the Decision Making in Software Development Projects, University of Sevilla, Spain.
2. Baylei, J., Basili, V., 1981. A meta-model for software development resource expenditures. In: Proceedings of the Fifth International Conference on Software Engineering, pp. 107-116.
3. Bezdek J. Pattern Recognition with Fuzzy Objective Function Algorithm (1981), Plenum Press, New York
4. Boehm B. Software Engineering Economics (1981), Prentice Hall
5. Boehm B., Abts C., Brown W., Chulani S., Clark B., Horowitz E., Madachy R., Reifer D., and Steece B. Software Cost Estimation with Cocomo II (2000), Prentice Hall
6. Conte S., Dunsmore H., and Shen V. Software engineering metrics and models (1986), Benjamin Cummings
7. Cuadrado-Gallego J.J., Sicilia M.A., Rodríguez D., and Garre M. An empirical study of process-related attributes in segmented software cost-estimation relationships. Journal of Systems and Software 79 3 (2006) 353-361
8. Cuadrado-Gallego J.J., and Sicilia M.A. An algorithm for the generation of segmented parametric software estimation models and its empirical evaluation. Computing and Informatics 26 1 (2007) 1-15
9. Dolado J. On the problem of the software cost function. Information and Software Technology 43 (2001) 61-72
10. Dunn J. Well-separated cluster and optimal fuzzy partition. Journal Cybern 4 (1974) 95-104
11. Farr, L., Zagorski, H., 1965. Quantitative analysis of programming cost factors: a progress report. In: Proceedings of the ICC Symposium on Economics of Automatic Data Processing, Amsterdam, Holland.
12. Fukuyama, Y., Sugeno, M., 1989. A new method of choosing the number of clusters for fuzzy c-means method. In: Proceedings of the Fifth Fuzzy System Symposium (in Japanese), pp. 247-250.
13. Gath I., and Geva A. Unsupervised optimal fuzzy clustering. IEEE Transactions on Pattern Analysis and Machine Intelligence 7 (1989) 773-780
14. Herd, J., Postak, J., Russell, W., Stewart, K., 1977. Software cost estimation study-study results. Final technical report, RADC-TR-77-220. Doty Associates.
15. Jensen, R., 1983. An improved macrolevel software development resource estimation model. In: Proceedings of the Fifth ISPA Conference, pp. 88-92.
16. Foss T., Stensrud E., Kitchenham B., and Myrtveit I. A simulation study of the model evaluation criterion MMRE. IEEE Transactions on Software Engineering 29 11 (2003) 985-995
17. Putnam L. A General empirical solution to the macro software sizing and estimation problem. IEEE Transactions on Software Engineering 4 (1978) 345-361
18. Putnam L., and Mayers W. Measures for Excellence: Reliable Software on Time within Budget (1992), Yourdon Press
19. Sicilia M.A., Cuadrado-Gallego J.J., Crespo J., and García-Barriocanal E. Software cost estimation with fuzzy inputs: fuzzy modelling and aggregation of cost drivers. Kybernetika 41 (2005) 249-264
20. Soderlund J. What project management really is about: alternative perspectives on the role and practice of project management. International Journal of Technology Management 32 3/4 (2005) 371-387
21. Rubin H. Macroestimation of software development parameters: the estimacs system. Proceedings of the SOFTFAIR Conference Development Tools, Techniques and Alternatives (1983), IEEE Press, Arlington
22. Sugeno M., and Yasukawa A. A fuzzy-logic based approach to qualitative modeling. IEEE Transactions on Fuzzy Systems 1 (1993) 7-31
23. Walkerden F., and Jeffery R. An empirical study of analogy-based software effort estimation. Empirical Software Engineering 4 (1999) 135-158
24. Xu Z., Taghi T., and Khoshgoftaar M. Identification of fuzzy models of software cost estimation. Fuzzy Sets and Systems 145 (2004) 141-163
25. Yoshinari Y., Pedrycz W., and Hirota K. Construction off fuzzy models through clustering techniques. Fuzzy Sets and Systems 54 (1993) 157-165