Fuzzy group evaluating the aggregative risk rate of software development

Authors:
Huey-Ming Lee;Lily Lin
Affiliations:
Department of Information Management, Chinese Culture University, Taipei, Taiwan;Department of International Business, China University of Technology, Taipei, Taiwan
Venue:
KES'10 Proceedings of the 14th international conference on Knowledge-based and intelligent information and engineering systems: Part II
Year:
2010

Citing 9
Cited 0

Principles of software engineering management

Principles of software engineering management
Software engineering risk analysis and management

Software engineering risk analysis and management
Software risk management

Software risk management
Applying fuzzy set theory to evaluate the rate of aggregative risk in software development

Fuzzy Sets and Systems
Software engineering (6th ed.)

Software engineering (6th ed.)
The New Software Engineering

The New Software Engineering
Software Risk Management: Principles and Practices

IEEE Software
A new algorithm for applying fuzzy set theory to evaluate the rate of aggregative risk in software development

Information Sciences: an International Journal
Fuzzy Presumptive Rate of Aggregative Risk in Software Development

ICICIC '09 Proceedings of the 2009 Fourth International Conference on Innovative Computing, Information and Control

Quantified Score

Hi-index	0.01

Visualization

Abstract

In this paper, we propose the fuzzy group decision making to tackle the rate of aggregative risk in software development. The proposed method is easily implemented and also suitable for only one evaluator.