A multiple-view meta-modeling approach for variability management in software product lines

Hassan Gomaa, Michael E. Shin

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

17 Scopus citations

Abstract

This paper describes a multiple-view meta-modeling approach for managing variability in software product lines using the Unified Modeling Language notation (UML). A multiple-view meta-model for software product lines describes how each view relates semantically to other views. The metamodel depicts life cycle phases, views within each phase, and meta-classes within each view. The relationships between the meta-classes in the different views are described. Consistency checking rules are defined based on the relationships among the meta-classes in the meta-model. This paper briefly describes multiple-view modeling of software product lines before describing the multiple-view meta-modeling approach for software product lines and an approach for consistency checking between meta-model views. The paper then provides a detailed description of the tool support for product line multipleview meta-modeling, meta-model consistency checking, and product line member configuration from the product line architecture.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
EditorsJan Bosch, Charles Krueger
PublisherSpringer-Verlag
Pages274-285
Number of pages12
ISBN (Print)9783540277996
DOIs
StatePublished - 2004

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3107
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

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