Issue-based Variability Modeling: Extending variability management with rationale management - Couverture souple

Thurimella, Anil Kumar

 
9783639126297: Issue-based Variability Modeling: Extending variability management with rationale management

Synopsis

Variability management is a challenging issue in product line requirements engineering. Particular problems include the instantiation of variations for individual products, the long-term evolution of the product line, the rationale representation for variability and the support of issue-based communication between geographically distributed stakeholders. To address the problems, this dissertation proposes a new methodology called issue-based variability modeling by combining variability management and rationale management. Rationale management is a discipline in software engineering, which deals with the tacit knowledge that leads to a system design. To be able to empirically evaluate issue- based variability modeling, the meta-model of the rationale-based unified software engineering model (RUSE) is combined with the meta-model of the orthogonal variability model (OVM) to obtain a meta-model for issue-based variability modeling. Issue-based variability modeling has been implemented as a Java-based tool and was evaluated empirically using several empirical studies.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

Variability management is a challenging issue in product line requirements engineering. Particular problems include the instantiation of variations for individual products, the long-term evolution of the product line, the rationale representation for variability and the support of issue-based communication between geographically distributed stakeholders. To address the problems, this dissertation proposes a new methodology called issue-based variability modeling by combining variability management and rationale management. Rationale management is a discipline in software engineering, which deals with the tacit knowledge that leads to a system design. To be able to empirically evaluate issue- based variability modeling, the meta-model of the rationale-based unified software engineering model (RUSE) is combined with the meta-model of the orthogonal variability model (OVM) to obtain a meta-model for issue-based variability modeling. Issue-based variability modeling has been implemented as a Java-based tool and was evaluated empirically using several empirical studies.

Biographie de l'auteur

Anil Thurimella is working as a requirements manager at Harman Becker Automotive Systems, Germany. He received his master¿s degree in computational science and enginnering from Technische Universität München in 2004 and passed his doctorial degree on ¿Issue-based Variability Modeling¿ in 2008.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.