An analogy-based approach for predicting design stability of Java classes

Proceedings - International Software Metrics Symposium

Volumn 2003-January, Issue , 2003, Pages 252-262

  Grosser, D ^a   Sahraoui, H A ^a   Valtchev, P ^a  

^a UNIVERSITÉ DE MONTRÉAL   (Canada)

Author keywords

Java; Object oriented modeling; Predictive models; Q factor; Software design; Software maintenance; Software metrics; Stability; Stress; Testing

Indexed keywords

CASE BASED REASONING; COMPUTER SOFTWARE; COMPUTER SOFTWARE MAINTENANCE; CONVERGENCE OF NUMERICAL METHODS; FORECASTING; JAVA PROGRAMMING LANGUAGE; Q FACTOR MEASUREMENT; SOFTWARE DESIGN; SOFTWARE TESTING; STABILITY; STRESSES; TESTING;

JAVA; OBJECT ORIENTED MODEL; PREDICTIVE MODELS; Q-FACTORS; SOFTWARE METRICS;

OBJECT ORIENTED PROGRAMMING;

EID: 84943195401     PISSN: 15301435     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/METRIC.2003.1232472     Document Type: Conference Paper

References (30)

1. A. Aamodt and E. Plaza. Case-based reasoning: Foundational issues, methodological variations, and system approaches. AI Communications, 1(7):39-59, 1994.
2. M. D. Almeida, H. Lounis, and W. Melo. An investigation on the use of machine learned models for estimating software correctability. International Journal of Software Engineering and Knowledge Engineering, 9(5):565593, 1999.
3. J. Bansiya. Evaluating framework architecture structural stability. ACM Computing Surveys (CSUR), 32, 2000.
4. J. Bieman and B.-K. Kang. Cohesion and reuse in an object-oriented system. In ACM Symp. Software Reusability (SSR'94), 1995.
5. L. Briand, P. Devanbu, and W. Melo. An investigation into coupling measures for c++. In 19th International Conference on Software Engineering, 1997.
6. L. Briand and J. Wüst. Advances in Computers, chapter Empirical studies of quality models in object-oriented systems. Academic Press, 2002.
7. L. Briand, J. Wust, J. W. Daly, and V. Porter. Exploring the relationships between design measures and software quality in object-oriented systems. Journal of Systems and Software, 51:245-273, 2000.
8. S. Chidamber and C. Kemerer. A metrics suite for object oriented design. IEEE Transactions on Software Engineering, 20(6):476-493, 1994.
9. S. Demeyer and S. Ducasse. Metrics, do they really help ? In Langages et modèles à objets (LMO'99), 1999, 1999.
10. J. Esteva and R. Reynolds. Identifying reusable software components by induction. International Journal of Software Engineering and Knowledge Engineering, 1(3):271-292, 1991.
11. M. Fayad. Accomplishing software stability. Communications of the ACM, 45, 2002.
12. N. E. Fenton and N. Ohlsson. Quantitative analysis of faults and failures in a complex software system. To appear in IEEE Transactions on Software engineering, 2000.
13. K. Ganesan, T. Khoshgoftaar, and E. Allen. Case-Based Software Quality Prediction. International Journal of Software Engineering and Knowledge Engineering, 10(2):139-152, 2000.
14. M. Genero, L. Jimenez, and M. Piattini. Measuring the quality of entity relationship diagrams. In In Proc. of 19th International Conference on Conceptual Modeling, 2000.
15. D. Grosser, H. A. Sahraoui, and P. Valtchev. Predicting Software Stability Using Case-Based Reasoning. In Proceedings of the 17th IEEE International Conference on Automated Software Engineering (ASE 2002), pages 295-298, 2002.
16. J. Hakkarainen, P. Laamanen, and R. Rask. Neural networks in specification level software size estimation. In 26th Hawaii Int. Conf. System Sciences, pages 626-634, 1993.
17. S. Horikawa, T. Furnuhashi, and Y. Ucikawa. On fuzzy modelling using fuzzyneural networks with the back-propagation algorithm. IEEE Trans. Neural Networks, 3:801-806, 1992.
18. N. Karunanithi, D. Whitley, and Y. Malaiya. Prediction of software reliability using connectionist models. IEEE Trans. Soft. Eng., 18:563-574, 1992.
19. S. Kumar, B. Krishna, and P. Satsangi. Fuzzy systems and neural networks in software engineering project management. Journal of Applied Intelligence, 4:31-52, 1994.
20. W. Li and S. Henry. Object-oriented metrics that predict maintainability. Journal of Systems and Software, 23(2):111-122, 1993.
21. Y. Mao, H. A. Sahraoui, and H. Lounis. Reusability hypothesis verification using machine learning techniques: A case study. In IEEE Automated Software Engineering Conference, 1998.
22. R. Martin. Stability. C++ Report, 9(2), 1997.
23. D. Parnas. Software aging. In In Proc. 16th Int. Conference on Software Engineering (ICSE'94), 1994.
24. T. M. Pigoski. Practical Software Maintenance. Wiley Computer Publishing, 1997.
25. R. S. Pressman. Software Engineering, A Practical Approach. fourth edition, McGraw-Hill, 1997.
26. H. Sahraoui, M. Boukadoum, and H. Lounis. Building quality estimation models with fuzzy threshold values. lObjet, 17(4), 2001.
27. D. Wilson and T. Martinez. Improved heterogeneous distance functions. Journal of Artificial Intelligence Research, 6, 1997.
28. G. Wittig. Estimating software development effort with connectionist models. Working Paper Series 33/95, 1995.
29. G. Wittig and G. Finnie. Using artificial neural networks and function points to estimate 4gl software development effort. Australian Journal of Information Systems, 1994.
30. H. Zuse. A Framework of software Measurement. Walter de Gruyter, 1998.