Application of neural networks to software quality modeling of a very large telecommunications system

IEEE Transactions on Neural Networks

Volumn 8, Issue 4, 1997, Pages 902-909

  Khoshgoftaar, Taghi M ^a,c   Allen, Edward B ^a,c   Hudepohl, John P ^b   Aud, Stephen J ^b  

^a Florida Atlantic Univ   (United States)

^b NORTEL NETWORKS   (United States)

^c IEEE   (United States)

Author keywords

Backpropagation algorithm; Classification; Discriminant analysis; Fault prone modules; Neural network; Principal components analysis; Software metrics

Indexed keywords

ALGORITHMS; BACKPROPAGATION; NEURAL NETWORKS; RISK ASSESSMENT; SOFTWARE PROTOTYPING;

ENHANCED MEASUREMENT FOR EARLY RISK ASSESSMENT OF LATENT DEFECTS;

TELECOMMUNICATION SYSTEMS;

EID: 0031192278     PISSN: 10459227     EISSN: None     Source Type: Journal    
DOI: 10.1109/72.595888     Document Type: Article

References (37)

1. J. P. Hudepohl, S. J. Aud, T. M. Khoshgoftaar, E. B. Allen, and J. Mayrand, "EMERALD: Software metrics and models on the desktop," IEEE Software, vol. 13, no. 5, pp. 56-60, Sept. 1996.
2. N. F. Schneidewind, "Methodology for validating software metrics," IEEE Trans. Software Eng., vol. 18, pp. 410-422, May 1992.
3. N. Karunanithi, D. Whitley, and Y. K. Malaiya, "Prediction of software reliability using connectionist models,"IEEE Trans. Software Eng., vol. 18, pp. 563-574, July 1992.
4. _, "Using neural networks in reliability prediction,"IEEE Software, vol. 18, no. 7, pp. 53-59, July 1992.
5. T. M. Khoshgoftaar, A. S. Pandya, and H. B. More, "A neural-network approach for predicting software development faults," in Proc. 3rd Int. Symp. Software Reliability Eng., Research Triangle Park, NC, Oct. 1992, pp. 83-89.
6. T. M. Khoshgoftaar, A. S. Pandya, and D. L. Lanning, "Application of neural networks for predicting faults,"Ann. Software Eng., vol. 1, pp. 141-154, 1995.
7. T. M. Khoshgoftaar and R. M. Szabo, "Improving code churn predictions during the system test and maintenance phases," in Proc. Int. Conf. Software Maintenance, Victoria, BC, Canada, Sept. 1994, pp. 58-67.
8. _, "Improving neural-network predictions of software quality using principal components analysis," in Proc. Int. Conf. Neural Networks, Orlando, FL, June 1994, pp. 3295-3300.
9. _, "Predicting software quality during testing using neural-network models: A comparative study,"Int. J. Reliability, Quality, and Safety Eng., vol. 1, no. 3, pp. 303-319, Sept. 1994.
10. T. M. Khoshgoftaar, R. M. Szabo, and P. J. Guasti, "Exploring the behavior of neural-network software quality models,"Software Eng. J., vol. 10, no. 3, pp. 89-96, May 1995.
11. T. M. Khoshgoftaar, E. B. Allen, J. P. Hudepohl, and S. J. Aud, "Software metric-based neural-network classification models of a very large telecommunications system," in Applications and Science of Artificial Neural Networks II, S. K. Rogers and D. W. Ruck, Eds. Orlando, FL: SPIE-Int. Soc. Opt. Eng., vol. 2760 of Proc. SPIE, Apr. 1996, pp. 634-645.
12. T. M. Khoshgoftaar and D. L. Lanning, "A neural-network approach for early detection of program modules having high risk in the maintenance phase," J. Syst. Software, vol. 29, no. 1, pp. 85-91, Apr. 1995.
13. T. M. Khoshgoftaar, D. L. Lanning, and A. S. Pandya, "A neural-network modeling methodology for detection of high-risk programs," in Proc. 4th Int. Symp. Software Reliability Eng., Denver, CO, Nov. 1993, pp. 302-309.
14. _, "A comparative study of pattern recognition techniques for quality evaluation of telecommunications software,"IEEE J. Select. Areas Commun., vol. 12, pp. 279-291, Feb. 1994.
15. J. C. Munson and T. M. Khoshgoftaar, "The detection of fault-prone programs,"IEEE Trans. Software Eng., vol. 18, pp. 423-433, May 1992.
16. V. Rodriguez and W. T. Tsai, "Evaluation of software metrics using discriminant analysis," J. Inform. Software Technol., vol. 29, no. 3, pp. 245-251, May 1987.
17. R. W. Selby and A. A. Porter, "Learning from examples: Generation and evaluation of decision trees for software resource analysis,"IEEE Trans. Software Eng., vol. 14, pp. 1743-1756, Dec. 1988.
18. L. C. Briand, V. R. Basili, and W. M. Thomas, "A pattern recognition approach for software engineering data analysis,"IEEE Trans. Software Eng., vol. 18, pp. 931-942, Nov. 1992.
19. T. M. Khoshgoftaar, E. B. Allen, K. S. Kalaichelvan, and N. Goel, "Early quality prediction: A case study in telecommunications,"IEEE Software, vol. 13, no. 1, pp. 65-71, Jan. 1996.
20. T. M. Khoshgoftaar, E. B. Allen, K. S. Kalaichelvan, N. Goel, J. P. Hudepohl, and J. Mayrand, "Detection of fault-prone program modules in a very large telecommunications system," in Proc. 6th Int. Symp. Software Reliability Eng., Toulouse, France, Oct. 1995, pp. 24-33.
21. G. LeGall, M. F. Adam, H. Derriennic, B. Moreau, and N. Valette, "Studies on measuring software,"IEEE J. Select. Areas Commun., vol. 8, pp. 234-245, Feb. 1990.
22. A. A. Porter and R. W. Selby, "Empirically guided software development using metric-based classification trees,"IEEE Software, vol. 7, no. 2, pp. 46-54, Mar. 1990.
23. J. Mayrand and F. Coallier, "System acquisition based on software product assessment," in Proc. 18th Int. Conf. Software Eng., Berlin, Mar. 1996, pp. 210-219.
24. P. N. Robillard, D. Coupal, and F. Coallier, "Profiling software through the use of metrics,"Software-Practice and Experience, vol. 21, no. 5, pp. 507-518, May 1991.
25. B. A. Kitchenham, L. M. Pickard, and S. J. Linkman, "An evaluation of some design metrics,"Software Eng. J., vol. 5, no. 1, pp. 50-58, Jan. 1990.
26. W. M. Zage and D. M. Zage, "Evaluating design metrics on large-scale software,"IEEE Software, vol. 10, pp. 75-80, July 1993.
27. B. A. Kitchenham, "An evaluation of software structure metrics," in Proc. Int. Computer Software and Applicat. Conf. (COMPSAC), Chicago, IL, 1988, pp. 369-376.
28. T. J. McCabe, "A complexity measure,"IEEE Trans. Software Eng., vol. SE-2, pp. 308-320, Dec. 1976.
29. J. C. Munson and T. M. Khoshgoftaar, "The dimensionality of program complexity," in Proc. 11th Int. Conf. Software Eng., Pittsburgh, PA, May 1989, pp. 245-253.
30. T. M. Khoshgoftaar and E. B. Allen, "Multivariate assessment of complex software systems: A comparative study," in Proc. 1st Int. Conf. Eng. Complex Computer Syst., Fort Lauderdale, FL, Nov. 1995, pp. 389-396.
31. M. M. Nelson and W. T. Illingworth, A Practical Guide to Neural Nets. Reading, MA: Addison-Wesley, 1990.
32. G. A. F. Seber, Multivariate Observations. New York: Wiley, 1984.
33. P. N. Robillard and D. Coupal, "Study on the normality of metric distributions," in Proc. Annu. Oregon Wkshp. Software Metrics, Oregon Center for Advanced Technol. Education, Portland State Univ., Silver Falls, OR, Mar. 1991.
34. P. D. Wasserman, Neural Computing: Theory and Practice. New York: Van Nostrand Reinhold, 1989.
35. A. N. Kolmogorov, "On the representation of continuous functions of many variables by superposition of continuous functions of one variable and addition,"Amer. Math. Soc. Translations, vol. 28, pp. 55-59, 1963;
36. originally published in Doklady Akademii Nauk SSSR, vol. 114, pp. 953-956, 1957 (in Russian).
37. D. L. Lanning and T. M. Khoshgoftaar, "Detection of change-prone program modules: An empirical study," Florida Atlantic Univ., Boca Raton, FL, Tech. Rep. TR-CSE-95-34, Aug. 1995.