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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.
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.