Fuzzy modeling for function points analysis

Software Quality Journal

Volumn 11, Issue 2, 2003, Pages 149-166

  De Souza Lima Jr , Osias ^a   Farias, Pedro Porfírio Muniz ^a   Belchior, Arnaldo Dias ^a  

^a UNIVERSITY OF FORTALEZA   (Brazil)

Author keywords

FFPA; FPA; Fuzzy sets; Metrics; Software design

Indexed keywords

ALGORITHMS; COMMUNICATION SYSTEMS; COSTS; CUSTOMER SATISFACTION; DATA ACQUISITION; MATHEMATICAL MODELS; MOTIVATION; PROJECT MANAGEMENT; SOFTWARE ENGINEERING;

FUNCTION POINT ANALYSIS (FPA); FUZZY FUNCTION POINT ANALYSIS (FFPA); METRICS; SOFTWARE DESIGN;

FUZZY SETS;

EID: 3543070539     PISSN: 09639314     EISSN: 15731367     Source Type: Journal    
DOI: 10.1023/A:1023716628585     Document Type: Article

References (31)

1. Abran, A. and Robillard, P.N. 1996. Function points analysis: An empirical study of its measurement processes, IEEE Transactions on Software Engineering 22(12).
2. Albrecht, A.J. 1979. Measuring applications development productivity, In Proceedings of IBM Applic. Dev. Joint SHARE/GUIDE Symposium, Monterey, CA.
3. Albrecht, A.J. and Gaffney, J.E. 1983. Software functions, source lines of code, and development effort prediction: A software science validation, IEEE Transactions on Software Engineering 9(6).
4. April, A. and Abran, A. 1995. Industrial research in software maintenance: Development of productivity models, In Guide Summer '95 Conference and Solutions Fair, Boston.
5. Belchior, A.D. 1997. A model to software quality evaluation, Thesis of Doctorate, UFRJ/COPPE, May, Brazil (in Portuguese).
6. Boehm, B.W. 1981. Software Engineering Economics, Prentice-Hall.
7. Bourque, P., Maya, M., and Abram, A. 1996. A sizing measure for adaptative maintenance work products, In IFPUG Spring Conference, Atlanta, April.
8. Desharnais, J.M. 1990. Adjustment model for function point scope factors - A statistical study, In Proceedings of IFPUG Spring Conference, Florida, April.
9. Dubois, D. and Prade, H. 1991. Fuzzy sets in approximate reasoning, Part 1: Inference with possibility distributions, In Fuzzy Sets and Systems, IFSA, Special Memorial Volume: 25 Years of Fuzzy Sets, North-Holland, Amsterdam.
10. FFP. 1997. Full Function points: counting practices manual, Technical Report, University of Quebec, Montreal.
11. FPCPM. 1999. Function point counting practices manual, Version 4.1, January.
12. Grauel, A., 1999. Analytical and structural considerations in fuzzy modeling, Fuzzy Sets and Systems, 101: 205-206.
13. Halstead, M.H. 1977. Elements of Software Science.
14. Jones, C. 1996. Programming languages table, Release 8.2, March.
15. Kantrowitz, M. et al. 1997. Answers to questions about fuzzy logic and fuzzy expert systems, http://www-cgi.cs.cmu.edu/afs/cs/project/ai-repository/ai/ areas/fuzzy/faq/fuzzy.faq, March.
16. Kemmerer, C.F. 1997. An empirical validation of software estimation models, Comm. of ACM 30(5).
17. Kilt, G.J. and Yuan, B. 1995. Fuzzy Sets and Fuzzy Logic: Theory and Applications, Prentice-Hall, Englewood Cliffs, NJ.
18. Leekwijck, W. V. and Kerre, E. E. 1999. Defuzzification: criteria and classification, Fuzzy Sets and Systems 108: 159-178.
19. Lima, O.S.J., Farias, P.P.M., and Belchior, A.D., 2001a. Fuzzy functions points analysis, In Proceedings of the 4th European Conference on Software Measurement and ICT Control, FESMA-DASMA, Heildeberg, Germany.
20. Lima, O.S.J., Parias, P.P.M., and Belchior, A.D. 2001b. Maintenance project assessments using fuzzy function point analysis, In WESS, Florence, Italy.
21. Miccolis, A.G. 2001. Implementing a validation process in decision support management, In Proceedings of the 4th European Conference on Software Measurement and ICT Control, FESMA-DASMA, Heildeberg, Germany.
22. Pedrycz, W. and Gomide, F. 1998. An Introduction to Fuzzy Sets - Analysis and Design, The MIT Press, Cambridge, MA.
23. Putnam, L.H. 1978. A general empirical solution to the marco software sizing and estimation problem, IEEE Transactions on Software Engineering SE-4(4).
24. a edição, Livros Técnicos e Científicos.
25. Smith, L. 1997. Function Point Analysis and Its Uses, Predicate Logic, INC.
26. Teodorescu, H.N., Kandel, A., and Schneider, M. 1999. Fuzzy modeling and dynamics, it Fuzzy Sets and Systems, 106: 1-2.
27. Turksen, I.B. 1991. Measurement of membership functions and their acquisition, In Fuzzy Sets and Systems, IFSA, Special Memorial Volume: 25 Years of Fuzzy Sets, North-Holland, Amsterdam.
28. Wang, P. and Tan, S. 1997. Soft computing and fuzzy logic, Soft Computing 1: 35-41.
29. Zadeh, L.A. 1965. Fuzzy Sets, Information and Control, Vol. 8, pp. 338-353.
30. Zimmermann, H.J. 1991. Fuzzy Set Theory and Its Applications, 2nd revised edition, Kluwer, Boston.
31. Zitouni, M. and Abran A. 1996. A model to evaluate an improve the quality of software maintenance process, In Proceedings of the 6th International Conference on Software Quality, October, Ottawa, Canada.