FULSOME: Fuzzy logic for software metric practitioners and researchers

ICONIP 1999, 6th International Conference on Neural Information Processing - Proceedings

Volumn 1, Issue , 1999, Pages 308-313

  MacDonell, Stephen G ^a   Gray, Andrew R ^a   Calvert, James M ^a  

^a UNIVERSITY OF OTAGO   (New Zealand)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER CIRCUITS; LIFE CYCLE; SOFTWARE DESIGN; SOFTWARE ENGINEERING;

AUTOMATICALLY GENERATED; COMMUNICATION TOOLS; FUZZY LOGIC SYSTEM; FUZZY LOGIC TECHNIQUES; REGRESSION-BASED MODEL; SOFTWARE DEVELOPER; SOFTWARE DEVELOPMENT EFFORT; USE OF FUZZY LOGIC;

FUZZY LOGIC;

EID: 85013996730     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICONIP.1999.844005     Document Type: Conference Paper

References (5)

1. N. E. Fenton and S. L. Pfleeger. Software Metrics: A Rigorous & Practical Approach. PWS, 1997.
2. A. Gray and S. MacDonell. Applications of fuzzy logic to software metric models for development effort estimation. In Proceedings of the 1997 Annual meeting of the North American Fuzzy Information Processing Society - NAFIPS'97, pages 394-399. IEEE, 1997.
3. A. Gray and S. MacDonell. A comparison of model building techniques to develop predictive equations for software metrics. Information and Software Technology, 39:425-437, 1997.
4. A. Gray and S. MacDonell. Fuzzy logic for software metric models throughout the development life-cycle. In Proceedings of the 1999 Annual meeting of the North American Fuzzy Information Processing Society - NAFIPS'99. IEEE, 1999.
5. Y. Miyazaki, M. Terakado, K. Ozaki, and N. Nozaki. Robust regresison for developing software estimation models. Journal of System and Software, 27:35-16, 1994.