Software source code sizing using fuzzy logic modeling

Information and Software Technology

Volumn 45, Issue 7 SPEC., 2003, Pages 389-404

  MacDonell, Stephen G ^a  

^a AUCKLAND UNIVERSITY OF TECHNOLOGY   (New Zealand)

Author keywords

Fuzzy logic; Prediction; SLOC; Software size

Indexed keywords

COMPUTER SIMULATION; FUZZY SETS; INTEGRATION; PROJECT MANAGEMENT; REGRESSION ANALYSIS;

DATA SETS;

SOFTWARE ENGINEERING;

EID: 0038219574     PISSN: 09505849     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0950-5849(03)00011-9     Document Type: Article

References (82)

1. Boehm B.W. Software Engineering Economics. 1981;Prentice-Hall, Englewood Cliffs, NJ.
2. DeMarco T. An algorithm for sizing software products. ACM SIGMetrics Performance Evaluation Review. 12:(2):1984;13-22.
3. Murali C.S., Sankar C.S. Issues in estimating real-time data communications software projects. Information and Software Technology. 39:1997;399-402.
4. Boehm B.W., Papaccio P.N. Understanding and controlling software costs. IEEE Transactions on Software Engineering. 14:(10):1988;1462-1477.
5. Lee H. A structured methodology for software development effort prediction using the analytic hierarchy process. Journal of Systems and Software. 21:1993;179-186.
6. Blackburn J.D., Scudder G.D., Van Wassenhove L.N. Improving speed and productivity of software development: a global survey of software developers. IEEE Transactions on Software Engineering. 22:(12):1996;875-885.
7. Banker R.D., Kauffman R.J., Kumar R. An empirical test of object-based output measurement metrics in a computer aided software engineering (CASE) environment. Journal of Management Information Systems. 8:(3):1992;127-150.
8. Chan T., Chung S.L., Ho T.H. An economic model to estimate software rewriting and replacement times. IEEE Transactions on Software Engineering. 22:(8):1996;580-598.
9. Verner J., Tate G. A software size model. IEEE Transactions on Software Engineering. 18:(4):1992;265-278.
10. Cockcroft S.K.S. Estimating CASE development size from outline specifications. Information and Software Technology. 38:1996;391-399.
11. Hakuta M., Tone F., Ohminami M. A software size estimation model and its evaluation. Journal of Systems and Software. 37:1997;253-263.
12. Lind M.R., Sulek J.M. Undersizing software systems: third versus fourth generation software development. European Journal of Information Systems. 7:1998;261-268.
13. Chulani S., Boehm B.W., Steece B. Bayesian analysis of empirical software engineering cost models. IEEE Transactions on Software Engineering. 25:(4):1999;573-583.
14. Myrtveit I., Stensrud E., Olsson U.H. Analyzing data sets with missing data: an empirical evaluation of imputation methods and likelihood-based methods. IEEE Transactions on Software Engineering. 27:(11):2001;999-1013.
15. Rosenberg J. Five easy steps to systematic data handling. IEEE Software (January-February). 1998;75-77.
16. Pickard L., Kitchenham B., Linkman S. An investigation of analysis techniques for software datasets, Proceedings of the Sixth International Software Metrics Symposium. 1999;IEEE, Boca Raton, FL. pp. 130-142.
17. Pickard L., Kitchenham B., Linkman S.J. Using simulated data sets to compare data analysis techniques used for software cost modeling. IEE Proceedings - Software Engineering. 148:(6):2001;165-174.
18. Basili V.R., Shull F., Lanubile F. Building knowledge through families of experiments. IEEE Transactions on Software Engineering. 25:(4):1999;456-473.
19. Miyazaki Y., Terakado M., Ozaki K., Nozaki H. Robust regression for developing software estimation models. Journal of Systems and Software. 27:1994;3-16.
20. MacDonell S.G., Shepperd M.J., Sallis P.J. Metrices for database systems: An empirical study, Proceedings of the Fourth International Software Metrics Symposium (Metrics'97). 1997;IEEE Computer Society Press, Albuquerque, NM. pp. 99-107.
21. Kitchenham B.A. A procedure for analyzing unbalanced datasets. IEEE Transactions on Software Engineering. 24:(4):1998;278-301.
22. Pillai K., Nair V.S.S. Statistical analysis of nonstationary software metrics. Information and Software Technology. 39:1997;363-373.
23. Khoshgoftaar T.M., Lanning D.L. A neural network approach for early detection of program modules having high risk in the maintenance phase. Journal of Systems and Software. 29:1995;85-91.
24. Lee A., Cheng C.H., Balakrishnan J. Software development cost estimation: integrating neural network with cluster analysis. Information and Management. 34:1998;1-9.
25. Mair C., Kadoda G., Lefley M., Phalp K., Schofield C., Shepperd M., Webster S. An investigation of machine learning based prediction systems. Journal of Systems and Software. 53:2000;23-29.
26. Shepperd M., Schofield C. Estimating software project effort using analogies. IEEE Transactions on Software Engineering. 23:(12):1997;736-743.
27. Myrtveit I., Stensrud E. A controlled experiment to assess the benefits of estimating with analogy and regression models. IEEE Transactions on Software Engineering. 25:(4):1999;510-525.
28. Walkerden F., Jeffery R. An empirical study of analogy-based software effort estimation. Empirical Software Engineering. 4:1999;135-158.
29. Kumar S., Krishna B.A., Satsangi P.S. Fuzzy systems and neural networks in software engineering project management. Journal of Applied Intelligence. 4:1994;31-52.
30. Ebert C. Experiences with criticality predictions in software development. Proceedings of the Sixth European Software Engineering Conference(ESEC/FSE'97) Switzerland, Springer. 1997;278-293.
31. Yau C., Tsoi H.-L. Modelling the probabilistic behavior of function point analysis. Information and Software Technology. 40:1998;59-68.
32. Piattini M., Genero M., Jiménez L. A metric-based approach for predicting conceptual data models maintainability. International Journal of Software Engineering and Knowledge Engineering. 11:(6):2001;703-729.
33. Shukla K.K. Neuro-genetic prediction of software development effort. Information and Software Technology. 42:2000;701-713.
34. Halstead M.H. Elements of Software Science. 1977;Elsevier North-Holland, New York.
35. Chrysler E. The impact of program and programmer characteristics on program size. Proceedings of the National Computer Conference. 1978;581-587.
36. Lehman M.M. Software engineering, the software process and their support. Software Engineering Journal. 1991;243-258.
37. Lehman M.M. Software's future: managing evolution. IEEE Software (January-February). 1998;40-44.
38. Turski W.M. Reference model for smooth growth of software systems. IEEE Transactions on Software Engineering. 22:(8):1996;599-600.
39. Tate G., Verner J.M. Software sizing and costing models: a survey of empirical validation and comparison studies. Journal of Information Technology. 5:1990;12-26.
40. MacDonell S.G. Comparative review of functional complexity assessment methods for effort estimation. Software Engineering Journal. 9:(3):1994;107-116.
41. Ferens D.V. Software size estimation: quo vadis? National Estimator (Winter). 1999;43-54.
42. Mukhopadhyay T., Kekre S. Software effort models for early estimation of process control applications. IEEE Transactions on Software Engineering. 18:(10):1992;915-924.
43. Dolado J.J. A study of the relationships among Albrecht and Mark II function points, lines of 4GL code and effort. Journal of Systems and Software. 37:1997;161-173.
44. Verner J.M., Tate G. A model for software sizing. Journal of Systems and Software. 7:1987;173-177.
45. Verner J., Tate G. Estimating size and effort in fourth-generation development. IEEE Software. 1988;15-22.
46. Wrigley C.D., Dexter A.S. A model for measuring information system size. MIS Quarterly, (June). 1991;245-257.
47. Bourque P., Côté V. An experiment in software sizing with structured analysis metrics. Journal of Systems and Software. 15:1991;159-172.
48. Padberg F. Proceedings of the Seventh European Software Engineering Conference (ESEC/FSE'99). Proceedings of the Seventh European Software Engineering Conference (ESEC/FSE'99). 1999;Springer, Toulouse. pp. 109-126.
49. Fenton N.E., Neil M. Software metrics: success, failures and new directions. Journal of Systems and Software. 47:1999;149-157.
50. Gray A.R., MacDonell S.G. A comparison of techniques for developing predictive models of software metrics. Information and Software Technology. 39:1997;425-437.
51. Alonso E.B., Moreno A.G., Galvez J.F.G. Applying rough sets to software development metrics. Proceedings of SCI'97/ISAS'97, Caracas. 1997.
52. Pawlak Z. Rough Sets: Theoretical Aspects of Reasoning About Data. 1991;Kluwer, Dordecht.
53. Putnam D. Size planner - an automated sizing model. Presented to the Third COCOMO User Group Meeting, Pittsburgh. 1987.
54. Bastani F.B., DiMarco G., Pasquini A. Proceedings of the 15th International Conference on Software Engineering. Baltimore, MY, USA. Proceedings of the 15th International Conference on Software Engineering. Baltimore, MY, USA. 1993;IEEE Computer Society Press, Los Alamitos, CA. pp. 45-54.
55. Griech B., Pomerol J.-C. Design and implementation of a knowledge-based decision support system for estimating software development work-effort. Journal of Systems Integration. 4:1994;171-184.
56. Idri A., Abran A. Towards a fuzzy logic based measures for software projects similarity. Proceedings Sixth MCSEAI'2000 Maghrebian Conference on Computer Sciences, Fez, Morocco. 2000.
57. Idri A., Abran A., Kjiri L. COCOMO cost model using fuzzy logic. Proceedings of the Seventh International Conference on Fuzzy Theory and Technology, New Jersey. 2000.
58. Idri A., Abran A. Proceedings Seventh International Symposium on Software Metrics. Proceedings Seventh International Symposium on Software Metrics. 2001;IEEE Computer Society Press, London.
59. Idri A., Abran A., Khoshgoftaar T.M., Robert S. Proceedings Eighth International Symposium on Software Metrics. Proceedings Eighth International Symposium on Software Metrics. 2002;IEEE Computer Society Press, Ottawa.
60. Gray A., MacDonell S.G. Proceedings of the 1997 Annual Meeting of the North American Fuzzy Information Processing Society - NAFIPS. Proceedings of the 1997 Annual Meeting of the North American Fuzzy Information Processing Society - NAFIPS. 1997;IEEE, Syracuse NY. pp. 394-399.
61. MacDonell S.G., Gray A.R., Calvert J.M. Proceedings of the Annual Meeting of the North American Fuzzy Information Processing Society - NAFIPS. Proceedings of the Annual Meeting of the North American Fuzzy Information Processing Society - NAFIPS. 1999;IEEE Computer Society Press, New York, NY. pp. 263-267.
62. Abdel-Hamid T.K., Sengupta K., Ronan D. Software project control: an experimental investigation of judgment with fallible information. IEEE Transactions on Software Engineering. 19:(6):1993;603-612.
63. Jørgensen M., Sjøberg D.I.K. Impact of effort estimates on software project work. Information and Software Technology. 43:2001;939-948.
64. Shepperd M., Kadoda G. Evaluating software prediction techniques using simulation. IEEE Transactions on Software Engineering. 27:(11):2001.
65. Sauter V.L. Intuitive decision-making. Communications of the ACM. 42:(6):1999;109-115.
66. Bezdek J.C. Pattern Recognition with Fuzzy Objective Function Algorithms. 1981;Plenum, New York.
67. Billaudel P., Devillez A., Villermain Lecolier G. Performance evaluation of fuzzy classification methods designed for real time application. International Journal of Approximate Reasoning. 20:1999;1-20.
68. Kosko B. Fuzzy Engineering. 1997;Prentice-Hall, New Jersey.
69. Lo B.W.N., Gao X. Assessing software cost estimation models: criteria for accuracy, consistency and regression. Australian Journal of Information Systems. 5:(1):1997;30-44.
70. Shepperd M.J., Cartwright M., Kadoda G. On building prediction systems for software engineers. Empirical Software Engineering. 5:2000;175-182.
71. Kitchenham B.A., Pickard L.M., MacDonell S.G., Shepperd M.J. What accuracy statistics really measure. IEE Proceedings - Software Engineering. 148:(3):2001;81-85.
72. Albrecht A.J. Measuring application development productivity. Proceedings, IBM GUIDE/SHARE Applications Development Symposium, California USA. 1979.
73. Albrecht A.J., Gaffney J.E. Jr. Software function, source lines of code, and development effort prediction: a software science validation. IEEE Transactions on Software Engineering. 9:(6):1983;639-648.
74. DeMarco T. Presented to the Fifth International COCOMO User Group Conference, Pittsburgh. Presented to the Fifth International COCOMO User Group Conference, Pittsburgh. 1989.
75. Kulkarni A., Greenspan J.B., Kriegman D.A., Logan J.J., Roth T.D. A generic technique for developing a software sizing and effort estimation model. Proceedings, COMPSAC'88. 1988;155-161.
76. Symons C.R. Function point analysis: difficulties and improvements. IEEE Transactions on Software Engineering. 14:(1):1988;2-10.
77. Symons C.R. Software Sizing and Estimating: Mk II FPA (Function Point Analysis). 1991;Wiley, Chichester, UK.
78. Laranjeira L.A. Software size estimation of object-oriented systems. IEEE Transactions on Software Engineering. 16:(5):1990;510-522.
79. Chidamber S.R., Kemerer C.F. Proceedings of OOPSLA'91, Phoenix, AZ. Proceedings of OOPSLA'91, Phoenix, AZ. 1991;ACM. pp. 197-211.
80. Chidamber S.R., Kemerer C.F. A metrics suite for object oriented design. IEEE Transactions on Software Engineering. 20:(6):1994;476-493.
81. Tate G., Verner J.M. Approaches to measuring size of application products with CASE tools. Information and Software Technology. 33:(9):1991;622-628.
82. MacDonell S.G. Establishing relationships between specification size and software process effort in CASE environments. Information and Software Technology. 39:(1):1997;35-45.