Fuzzy evaluation for the rate of aggregative risk in software development

Authors:
Lily Lin;Huey-Ming Lee;Shu-Yen Lee;Tsung-Yen Lee
Affiliations:
Department of International Business, China University of Technology, Taipei, Taiwan;Department of Information Management, Chinese Culture University, Taipei, Taiwan;Dep. of Private Participation in Infrastructure, China Engineering Consultants, Taipei, Taiwan;SinoPac Holding, Taipei, Taiwan
Venue:
ACOS'07 Proceedings of the 6th Conference on WSEAS International Conference on Applied Computer Science - Volume 6
Year:
2007

Citing 7
Cited 1

Principles of software engineering management

Principles of software engineering management
Software risk management

Software risk management
Fuzzy set theory—and its applications (3rd ed.)

Fuzzy set theory—and its applications (3rd ed.)
Applying fuzzy set theory to evaluate the rate of aggregative risk in software development

Fuzzy Sets and Systems
The New Software Engineering

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

Information Sciences: an International Journal
Software Engineering (7th Edition)

Software Engineering (7th Edition)

Towards a flexible tool for supporting data collection & analysis in personal software process (PSP)

WSEAS Transactions on Information Science and Applications

Quantified Score

Hi-index	0.01

Visualization

Abstract

In this paper, we present a new fuzzy assessment method to tackle the rate of aggregative risk in fuzzy circumstances by fuzzy sets theory during any phase of the software development life cycle. Because the proposed method directly uses the fuzzy numbers rather than the linguistic values to evaluate, it can be executed much faster than before. The proposed fuzzy assessment method is easier, closer to evaluator real thinking and more useful than the ones they have presented before.