Possibilistic linear systems and their application to the linear regression model
Fuzzy Sets and Systems
Communications of the ACM
On assessing the H value in fuzzy linear regression
Fuzzy Sets and Systems
A field study of the use of quality function deployment (QFD) as applied to software development
A field study of the use of quality function deployment (QFD) as applied to software development
Properties of certain fuzzy linear regression methods
Fuzzy Sets and Systems
Quality function deployment usage in software development
Communications of the ACM
Object-oriented software design utilizing Quality Function Deployment
Journal of Systems and Software
The value of interdisciplinarity: a study based on the design of Internet search engines
Journal of the American Society for Information Science - Special issue on the national information infrastructure
Managing software requirements using quality function deployment
Software Quality Control
SPI Models: What Characteristics are Required for Small Software Development Companies?
Software Quality Control
Computers and Industrial Engineering
A comprehensive quality model for service-oriented systems
Software Quality Control
Group decision making to better respond customer needs in software development
Computers and Industrial Engineering
Estimating the functional relationships for quality function deployment under uncertainties
Fuzzy Sets and Systems
Software requirements negotiation using the software quality function deployment
CRIWG'05 Proceedings of the 11th international conference on Groupware: design, Implementation, and Use
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With the rapid development of the software industry, improving the quality of software development has gained increasing importance. Software manufacturers have recently applied quality improvement techniques to software development to respond to the needs for software quality. Software quality function deployment (SQFD), as a technique for improving the quality of the software development process to create products responsive to customer expectations, is used to maximize customer satisfaction. This paper presents a fuzzy regression and optimization approach to determine target levels in SQFD. The inherent fuzziness of relationships in SQFD modeling justifies the use of fuzzy regression. Fuzzy regression is used to identify the functional relationships between customer requirements and technical attributes, and among technical attributes. Then, a mathematical programming model is developed to determine target levels of technical attributes using the functional relationships obtained by fuzzy regression. A search engine quality improvement problem is presented to illustrate the application of the proposed approach.