Improvements in the decision making in software projects

ICEIS 2001 - Proceedings of the 3rd International Conference on Enterprise Information Systems

Volumn 1, Issue , 2001, Pages 431-436

  Román, I Ramos ^a   Santos, J Riquelme ^a   Páez, J Aroba ^b  

^a UNIVERSITY OF SEVILLE   (Spain)

^b UNIVERSITY OF HUELVA   (Spain)

Author keywords

Fuzzy logic; Machine learning; Projects estimation; Simulation

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTER CIRCUITS; DECISION MAKING; FUZZY LOGIC; LEARNING SYSTEMS; RECONFIGURABLE HARDWARE; SIMULATORS; SOFTWARE DESIGN;

FUZZY LOGIC TECHNIQUES; PROJECT MANAGERS; PROJECT OBJECTIVES; SIMULATION; SOFTWARE DEVELOPMENT PROJECTS; SOFTWARE PROJECT; TRADITIONAL TECHNIQUES;

INFORMATION SYSTEMS;

EID: 84973667744     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (8)

1. Abdel-Hamid T., Madnick S., 1991. "Software Project Dynamics: an integrated approach". Prentice-Hall.
2. Bezdek J.C., 1981. "Pattern Recognition with fuzzy objective function algorithm". New York: Plenum press.
3. Quinlan J.R., 1993. "C4.5 Programs for Machine Learning". Morgan Kaufmann Publ. San Francisco.
4. Ramos I., Ruiz M., 1998. "A Reduced Dynamic Model to Make Estimations in the Initial Stages of a Software Development Project". In: Hawkings C et al (ed), INSPIRE III. Process Improvement through Training and Education, Pp.:172-185. London.
5. Ramos I., Riquelme J.C., 1999. "The Dynamic Models for Software Development Projects and the Machine Learning Techniques". International Conference on product focussed software process improvement. Pp.: 560-574. Oulu (Finland).
6. Sugeno M., Yasukawa T., 1993. "A Fuzzy-Logic Based approach to qualitative Modeling". IEEE Transactions on Fuzzy Systems, Vol.1.Pp.: 7-31.
7. Xiaohong Yuan, et all. 2000. "An application of fuzzy clustering to software quality prediction". Symposium on Application-Specific Systems and Software Engineering Technology, Richardson, Texas USA. IEEE Computer Society. In press.
8. Taghi M. Khoshgoftaar, et all. 1999. " Data mining for predictiors of software quality". International Journal of Software Engineering and Knowledge Engineering. Forthcoming