Software cost estimation using fuzzy decision trees

ASE 2008 - 23rd IEEE/ACM International Conference on Automated Software Engineering, Proceedings

Volumn , Issue , 2008, Pages 371-374

  Andreou, Andreas S ^a   Papatheocharous, Efi ^a  

^a UNIVERSITY OF CYPRUS   (Cyprus)

Author keywords

Association rules; Cost estimation; Fuzzy decsion trees

Indexed keywords

ASSOCIATION RULES; ASSOCIATIVE PROCESSING; CONCURRENCY CONTROL; COSTS; DECISION THEORY; DECISION TREES; FORECASTING; MATHEMATICAL MODELS; PLANNING; RESOURCE ALLOCATION; SOFTWARE ENGINEERING; TREES (MATHEMATICS);

COST DRIVERS; COST ESTIMATION; COST PREDICTIONS; EFFORT ESTIMATES; ESTIMATION PROCESSES; FUZZY DECISION TREES; FUZZY DECSION TREES; PAPER ADDRESSES; PREDICTION ACCURACIES; PROJECT DATUMS; SOFTWARE COST ESTIMATIONS; SOFTWARE COSTS;

COST BENEFIT ANALYSIS;

EID: 56249094223     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ASE.2008.51     Document Type: Conference Paper

References (17)

1. A. Idri, T. M. Khoshgoftaar, and A. Abran, "Can Neural. Networks be Easily Interpreted in Software Cost Estimation?", Proceedings of the 2002 IEEE World Congress on Computational Intelligence, IEEE Computer Press, Washington D.C., 2002, pp. 1162-1167.
2. B. W. Boehm, C. Abts, and S. Chulani, "Software Development Cost Estimation Approaches - A Survey", Annals of Software Engineering, Vol. 10,No. 1, Springer, Netherlands, 2000, pp. 177-205.
3. Breiman, L., J. Friedman, R. Oshlen, and C. Stone, Classification and Regression Trees, Wadsworth. International Group, 1984.
4. C. J. Burgess, and M. Leftley, "Can. Geneic Programming Improve Software Effort Estimation? A. Comparative Evaluation", Information. and Software Technology, Vol. 43, No. 14, Elsevier, Amsterdam, 2001, pp. 863-873.
5. E. S. Jun, and J. K. Lee, "Quasi-optimal Case-selective Neural Network Model, for Software Effort Estimation", Expert Systems with Applications, Vol. 21, No. 1, Elsevier, New York, 2001, pp. 1-14.
6. G. V. Kass, "An Exploratory Technique for Investigating Large Quantities of Categorical Data", Applied Statistics, Vol. 20, No. 2, 1980, pp. 119-127
7. International Software Benchmarking Standards Group, The Benchmark. Release 9, 2005, http://www.isbsg.org
8. J. R. Quinlan, Induction, of Decision Trees, Machine Learning, Vol. 1, 1986, pp. 81.-106.
9. J. J. Dolado, "On the Problem of the Software Cost Function", Information and Software Technology, Vol. 43, No. 1, Elsevier, Amsterdam, 2001, pp. 61 -72.
10. L. A. Zadeh, "Fuzzy Set", Information and Control, Vol. 8, 1965, pp. 338-353.
11. L. C. Briand, V. R. Basili, and W. M. Thomas, "A Pattern Recognition Approach for Software Engineering Data Analysis", IEEE Transactions on Software Engineering, Vol. 18, 1992, pp. 931-942.
12. M. Jargensen, and M. Shepperd, "A Systematic Review of Software Development Cost Estimation Studies", IEEE Transactions on Software Engineering, Vol. 33, No. 1, IEEE Computer Press, Washington D.C., 2007, pp. 33-53.
13. N. Tadayon, "Neural Network. Approach for Software Cost Estimation", Proceedings of the International Conference on Information Technology: Coding and Computing, IEEE Computer Press, Washington D.C., 2005, pp. 815-818.
14. Putnam L. H., and W. Myers, Measures for Excellence, Reliable Software on Time, Within Budget, Yourdan Press, New Jersey, 1992.
15. R. Valerdi, "Cognitive Limits of Software Cost Estimation", First International Symposium on Empirical Software Engineering and Measurement (ESEM), 2007, pp. 117-125.
16. S.-J. Huang, C.-Y. Lin and, N.-H. Chiu, "Fuzzy Decision Tree Apporoach for Embedding Risk Assessment Information into Software Cost Estimation Model", Software Engineering and Software, Vol. 22, 2006, pp. 297-313.
17. Z. Xu, and T. M. Khoshgoftaar, "Identification of Fuzzy Models of Software Cost Estimation", Fuzzy Sets and Systems, Vol. 145, No. 1, Elsevier, New York, 2004, pp. 141-163.