Classification techniques for metric-based software development

Software Quality Journal

Volumn 5, Issue 4, 1996, Pages 255-272

  Ebert, Christof ^a  

^a LUCENT TECHNOLOGIES   (United States)

Author keywords

Classification; Criticality prediction; Data analysis; Fuzzy classification; Quality models; Software metrics

Indexed keywords

CLASSIFICATION (OF INFORMATION); CRITICALITY (NUCLEAR FISSION); DATA REDUCTION; DISCRIMINANT ANALYSIS; FORECASTING; FUZZY NEURAL NETWORKS; FUZZY SYSTEMS; QUALITY CONTROL;

CLASSIFICATION TECHNIQUE; CRISP CLASSIFICATION; FUZZY CLASSIFICATION; PREDICTIVE ACCURACY; QUALITY MODELS; SOFTWARE COMPONENT; SOFTWARE DEVELOPMENT AND MAINTENANCES; SOFTWARE METRICS;

SOFTWARE DESIGN;

EID: 0000391980     PISSN: 09639314     EISSN: 15731367     Source Type: Journal    
DOI: 10.1007/BF00209184     Document Type: Article

References (23)

1. B.A. Kitchenham and L. Pickard. Towards a constructive quality model, Software Engineering Journal, 2 (1987) 114-126.
2. A.A. Porter and R.W. Selby. Empirically guided software development using metric-based classification trees, IEEE Software, 7 (1990) 46-54.
3. G. Stark, R.C. Durst and C.W. Vowell. Using metrics in management decision making, IEEE Computer, 27 (1994) 42-48.
4. J.C. Munson and T.M. Khoshgoftaar. Regression modelling of software quality: empirical investigation, Information and Software Technology, 32 (1990) 106-114.
5. N.F. Schneidewind. Validating metrics for ensuring space shuttle flight software quality, IEEE Computer, 27 (1994) 50-57.
6. R.W. Selby and V.R. Basili. Analyzing error-prone system structure, IEEE Transactions on Software Engineering, 17 (1991) 141-152.
7. C. Ebert and T. Liedtke. An integrated approach for criticality prediction. Proceedings of 6th International Symposium on Software Reliability Engineering ISSRE'95, (IEEE Computer Society Press, Los Alamitos, CA 1995).
8. N.E. Fenton. Software Metrics: A Rigorous Approach (Chapman & Hall, London, 1991).
9. R.B. Grady. Practical Software Metrics for Project Management and Process Improvement (Prentice Hall, Englewood Cliffs, NJ, 1992).
10. C. Ebert. Visualization techniques for analyzing and evaluating software measures, IEEE Transactions on Software Engineering, 18 (1992) 1029-1034.
11. R.W. Selby and A.A. Porter. Learning from examples: generation and evaluation of decision trees for software resource analysis, IEEE Transactions on Software Engineering, 14 (1988) 1743-1757.
12. D.N. Card and R.L. Glass. Measuring Software Design Quality (Prentice Hall. Englewood Cliffs, NJ, 1990).
13. L.C. Briand, V.R. Basili and W.M. Thomas. A pattern recognition approach for software engineering data analysis, IEEE Transactions on Software Engineering, 18 (1992) 931-942.
14. W. Behrendt, S.C. Lambert et al. A metrication framework for knowledge-based systems. In Proceedings of Eurometrics 92, pp. 197-210 (Comm. of the B.C.: EUREKA, Brussels, April 1992).
15. L. Breiman, J.H. Friedman, R.A. Olshen and C.J. Stone. Classification and Regression Trees (Wadsworth, Belmont, CA, 1984).
16. J.J. Shann and H.C. Fu. A fuzzy neural network for rule acquiring on fuzzy control systems, Fuzzy Sets and Systems, 71 (1995) 345-357.
17. W.R. Dillon and M. Goldstein. Multivariate Analysis-Methods and Applications (John Wiley & Sons, New York, 1984).
18. T. Khoshgoftaar and D.L. Lanning. 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.
19. J.J. Buckley and Y. Hayashi. Neural nets for fuzzy systems, Fuzzy Sets and Systems, 71 (1995) 265-276.
20. H.-J. Zimmermann. Fuzzy Set Theory and its Applications 2nd edition (Kluwer, Boston, 1991).
21. C. Ebert. Rule-based fuzzy classification for software quality control, Fuzzy Sets and Systems, 63 (1994) 349-358.
22. M.G. Kendall and A. Stuart. The Advanced Theory of Statistics, Vol. II (Griffin, London, 1961).
23. C. Debou, N. Fuchs and H. Saria. Selling believable technology, IEEE Software, (1993).