Hybrid approach to analyze empirical software engineering data and its application to predict module fault-proneness in maintenance

Journal of Systems and Software

Volumn 53, Issue 3, 2000, Pages 225-237

  Morasca, Sandro ^a   Ruhe, Günther ^b  

^a POLITECNICO DI MILANO   (Italy)

^b Inst Exp Software Eng FhG I   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SOFTWARE MAINTENANCE; COMPUTER SYSTEM RECOVERY; DATA REDUCTION; KNOWLEDGE ENGINEERING;

KNOWLEDGE DISCOVERY; LOGISTIC REGRESSION (LR); ROUGH SETS (RS);

SOFTWARE ENGINEERING;

EID: 0034271117     PISSN: 01641212     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0164-1212(00)00014-5     Document Type: Article

References (13)

1. Basili, V.R., Caldiera, G., Rombach, H.D., 1994. Experience factory. In: Marciniak, J.J. (Ed.), Encyclopedia of Software Engineering, vol. 1. Wiley, New York, pp. 469-476.
2. Basili V.R., Rombach H.D. The TAME project: towards improvement-oriented software environments. IEEE Transactions on Software Engineering. SE-14(6):1988;758-773.
3. Basili V.R., Weiss D.M. A methodology for collecting valid software engineering data. IEEE Transactions on Software Engineering. SE-10(6):1984;728-738.
4. Briand, L.C., Morasca, S., Basili, V.R., 1999. Defining and validating measures for object-based high-level design. IEEE Transactions on Software Engineering SE-25(5), 722-743.
5. Briand L.C., Basili V.R., Thomas W.M. A pattern recognition approach for software engineering data analysis. IEEE Transactions on Software Engineering. 18(11):1992;931-942.
6. CEMP (Customized Establishment of Measurement Programs) ESSI Project 10358, Final Report, Kaiserslautern, 1996, p. 109, IESE-Report, 001.96/E.
7. (CEMPwww) http:/www.iese.fhg.de/Services/Projects/Public-Projects/Cemp.html.
8. Chmielewski, M.R., Grzymala-Busse, J., 1994. Global discretization of continuous attributes as preprocessing for machine learning. In: Proceedings of the Third International Workshop on Rough Sets and Soft Computing, pp. 294-301.
9. Hosmer, D.W., Lemeshow, S., 1989. Applied Logistic Regression. Wiley, New York.
10. van Latum, F., van Solingen, R., Hoisl, B, Oivo, M., Rombach, H.D., Ruhe, G., 1998. Adopting GQM-based measurement in an industrial environment. IEEE Software 78-86.
11. Pawlak Z. Rough Sets: Theoretical Aspects of Reasoning about Data. 1991;Kluwer Academic Publishers, Dordrecht.
12. Ruhe, G., 1996. Qualitative analysis of software engineering data using rough sets. In: Proceedings of the Fourth International Workshop on Rough Sets, Fuzzy Sets, and Machine Discovery. Tokyo, pp. 292-299.
13. Susmaga, R., Slowinski, R., 1996. Rough Processing of Fuzzy Information Tables (ProFIT). Institute of Computing Science. Poznan University of Technology.