Software Requirements Negotiation Using the Software Quality Function Deployment

Ramires, João; Antunes, Pedro; Respício, Ana

doi:10.1007/11560296_25

Cited by 13 publications

(3 citation statements)

References 20 publications

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“…The participants of a design process usually adopt social strategies in their actions (Ramires et al 2005). For instance, the participants may compete in order to convince the others to accept their position, taking a win-lose attitude, or practice a collaborative approach, where attention is focused on building common gains which is a win-win strategy.…”

Section: Social Issuesmentioning

confidence: 99%

An exploratory classification of applications in the realm of collaborative modeling and design

Bagheri

Ghorbani

2008

Inf Syst E-Bus Manage

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The high complexity and diversity of today's design projects demands the participation of multiple experts. The participating experts can influence the design process by sharing their perspective, expertise and resources. The involvement of various experts is often known as collaborative modeling and design. A collaborative modeling environment can encompass various geographical or organizational boundaries. In this paper, we provide a classification to study various aspects of this important issue through the exploration of the existing models, methods and applications in this area. The paper further addresses both modeloriented and artifact-neutral collaboration approaches and enumerates their features. The paper introduces the features of and classifies several relevant applications. The classification can serve as a guideline for customizing a suitable setting for a collaborative modeling process based on given requirements, needs and demands. Several suggestions for future work are also provided.

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Section: Social Issuesmentioning

confidence: 99%

An exploratory classification of applications in the realm of collaborative modeling and design

Bagheri

Ghorbani

2008

Inf Syst E-Bus Manage

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“…Buyukozkan and Feyzioglu (2005) proposed a group decision-making approach in which the prioritization of customer needs is achieved by fusing multiple expression formats in one collaborative group decision with fuzzy logic. Ramires et al (2005) proposed a groupware tool supporting the SQFD approach to software requirements validation. Recently, Liu et al (2006b) utilized linear and non-linear regression techniques for setting technical targets in SQFD, and Liu et al (2006a) developed a method for setting target values of engineering attributes by incorporating the technical trend and time.…”

Section: Literature Reviewmentioning

confidence: 99%

A fuzzy regression and optimization approach for setting target levels in software quality function deployment

Şener

Karsak

2010

Software Qual J

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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.

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“…Buyukozkan and Feyzioglu (2005) proposed a group decision-making approach in which the prioritization of customer needs is achieved by fusing multiple expression formats in one collaborative group decision with fuzzy logic. Ramires et al (2005) proposed a groupware tool supporting the SQFD approach to validation of software requirements. Liu et al (2006a) utilized linear and nonlinear regression techniques for setting technical targets in SQFD, while Liu et al (2006b) developed a method for setting target values of engineering attributes by incorporating the technical trend and time.…”

Section: Literature Reviewmentioning

confidence: 99%

A decision model for setting target levels in software quality function deployment to respond to rapidly changing customer needs

Şener

Karsak

2012

Concurrent Engineering

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Responding to the need for enhanced software quality, software manufacturers have recently applied quality improvement techniques to software development process. Software quality function deployment, as a technique for better quality designs that match customer expectations, has been used in software development to maximize customer satisfaction. This article proposes a fuzzy regression-based decision framework that considers future requirements for setting target levels of technical attributes in software quality function deployment. Ordered weighted averaging operators are employed to implement quantifier-guided aggregations that enable to calculate the integrated importance degree for each customer need by combining the current and future voice of customers. Then, a fuzzy optimization model, which considers the integrated importance degrees of customer needs and uses the functional relationships obtained by fuzzy regression, is developed to determine target levels of technical attributes of the new or improved software products that meet customer needs at the time when the product reaches the market. The fuzzy optimization model includes both the center values and the spread values of the parameter estimates and thus circumvents loss of information in determining target levels of technical attributes. A search engine quality improvement problem is presented to illustrate the proposed decision framework.

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Software Requirements Negotiation Using the Software Quality Function Deployment

Cited by 13 publications

References 20 publications

An exploratory classification of applications in the realm of collaborative modeling and design

An exploratory classification of applications in the realm of collaborative modeling and design

A fuzzy regression and optimization approach for setting target levels in software quality function deployment

A decision model for setting target levels in software quality function deployment to respond to rapidly changing customer needs

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