Preliminary data analysis methods in software estimation

Software Quality Journal

Volumn 13, Issue 1, 2005, Pages 91-115

  Liu, Qin ^a   Mintram, Robert C ^a  

^a NORTHUMBRIA UNIVERSITY   (United Kingdom)

Author keywords

Data analysis in software engineering; Software cost estimating models

Indexed keywords

BENCHMARKING; COST EFFECTIVENESS; DATA REDUCTION; DATA STRUCTURES; MATHEMATICAL MODELS; PROJECT MANAGEMENT;

DATA ANALYSIS IN SOFTWARE ENGINEERING; DATA SETS; SOFTWARE COST ESTIMATING MODELS; SOFTWARE ESTIMATION;

SOFTWARE ENGINEERING;

EID: 17444422896     PISSN: 09639314     EISSN: 15731367     Source Type: Journal    
DOI: 10.1007/s11219-004-5262-y     Document Type: Conference Paper

References (27)

1. Basili, V.R. 1985. Quantitative evaluation of software methodology, Proceedings of the 1st Pan-Pacific Computer Conference.
2. Basili, V.R. and Rombach, H.D. 1988. The TAME project: Towards improvement-oriented software environments, IEEE Transactions on Software Engineering 14(6): 758-773.
3. Boehm, B.W. 1981. Software Engineering Economics. Englewood Cliffs, NJ, Prentice Hall.
4. Boetticher, G. 2001. Using machine learning to predict project effort: Empirical case studies in data-starved domains, Proceedings of the Model Based Requirements Workshop, pp. 17-24.
5. Briand, L.C., Basili, V.R., and Thomas, W. 1992. A pattern recognition approach for software engineering data analysis, IEEE Transactions on Software Engineering 18(11).
6. Briand, L.C., Emam, K.E., Surmann, D., and Wieczorek, I. 1998. An assessment and comparison of common software cost estimation modelling techniques, Technical Report ISERN-98-27, Fraunhofer Institute for Experimental Software Engineering, Germany.
7. Briand, L.C., Langley, T., and Wieczorek, I. 1999. A replicated assessment and comparison of common software cost modeling techniques, Technical Report, IESE-Report 073.99/E.
8. Burr, A. and Owen, M. 1996. Statistical Methods for Software Quality Using Metrics for Process Improvement. Thomson Computer Press.
9. Chulani, S., Boehm, B.W., and Steece, B. 1999. Bayesian analysis of empirical software engineering cost models, IEEE Transactions on Software Engineering 25(4): 573-583.
10. Conte, S.D., Dunsmore, H.E., and Shen, V.Y. 1986. Software Engineering Metrics and Models. Benjamin/Cummings.
11. Fenton, N.B. and Neil, M. 2000. Software metrics: Roadmap, "The Future of Software Engineering," Proceedings of the 22nd International Conference on Software Engineering, pp. 357-370. ACM Press.
12. Finnic, G.R., Wittig, G.E., and Desharnais, J.M. 1997. Reassessing function points, Australian Journal of Information Systems 4(2): 39-45.
13. Gravetter, F.J. and Wallnau, L.B. 1996. Statistics for the Behavioral Science: A First Course for Students of Psychology and Education, 4th ed. St. Paul, West.
14. IFPUG. 1994. Counting Practices Manual, Release 4.0, International Function Point Users Group, Westerville, OH.
15. Karunanithi, N., Whitley, D., and Malaiya, K.Y. 1992. Using neural networks in reliability prediction, IEEE Software 9(4): 53-59.
16. Kemerer, C.F. 1987. An empirical validation of software cost estimation models, Communications of the ACM 30(5): 416-429.
17. Kitchenham, B.A. 1998. A procedure for analyzing unbalanced datasets, IEEE Transactions on Software Engineering 24(4): 278-301.
18. Kitchenham, B.A., Pfleeger, S., Pickard, L., Jones, P., Hoaglin, D., Emam, K.E., and Rosenberg, J. 2002. Preliminary guidelines for empirical research in software engineering, IEEE Transactions on Software Engineering 28(8): 721-734.
19. Maxwell, K. 2002. Applied Statistics for Software Managers. UpperSaddle River, NJ, Pearson Education.
20. Maxwell, K., Wassenhove, L.V., and Dutta, S. 1996. A software development productivity of European space, military and industrial applications, IEEE Transactions on Software Engineering 22(10): 704-718.
21. Pfleeger, S.L., Jeffery, R., Curds, B., and Kitchenham, B. 1997. Status report on software measurement, IEEE Software 14(2): 33-43.
22. Porter, A.A. and Selby, R.W. 1988. Learning from examples: Generation and evaluation of decision trees for software resource analysis, IEEE Transactions on Software Engineering 14(12): 1743-1757.
23. Porter, A.A. and Selby, R.W. 1990. Empirically guided software development using metric-based classification trees, IEEE Software 7(2): 46-54.
24. Putnam, L.H. 1978. A general empirical solution to the macro software sizing and estimating problem, IEEE Transactions on Software Engineering 4(4): 345-361.
25. Putnam, L.H. and Myers, W. 1992. Measures for Excellence: Reliable Software on Time, within Budget. Yourdon Press.
26. Samson, B., Ellison, D., and Dugard, P. 1997. Software cost estimation using an albus perceptron (cmac), Information and Software Technology 39: 55-60.
27. Srinivasan, K. and Fisher, D. 1995. Machine learning approaches to estimating software development effort, IEEE Transactions on Software Engineering 21(2): 126-137.