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VARSA 2012
        Breakout session

Topic: variability and traceability
Variability
Approaches to capturing variability in
architectural views:
●   Integrated into views
       ●   Easier, but little traceability.
●   Separated (= orthogonal), in a variability view
       ●   Easier to trace (mapping to other views), but
            added complexity and up-front investment.
●   Combination of both
       ●   Including case-by-case decisions and
             heterogeneous views.
Traceability
Traceability between:
●   Separate variability models and architecture
    models.
●   Architecture views with embedded variability
●   Views and other artifacts (e.g. code, tests)
Research agenda (1 of 2)
●   How to combine Separation of Concerns and
    integration with respect to variability
        ●   Look at stakeholders' needs, nature of domain
●   “No silver bullet” in variability representation
        ●   Don't add too much overhead
        ●   Use cost-based reasoning
        ●   Manage many options with abstraction – or
             avoid them
Research agenda (2 of 2)
●   Automation opportunities:
       ●   Checking consistency of models
       ●   Deriving products
       ●   Creating traceability links
●   Integration of different variability management
    approaches in heterogeneous organizations
●   Traceability through a single metamodel that
    is used to generate architectural views

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VARSA 2012 Breakout Session on Variability and Traceability Approaches

  • 1. VARSA 2012 Breakout session Topic: variability and traceability
  • 2. Variability Approaches to capturing variability in architectural views: ● Integrated into views ● Easier, but little traceability. ● Separated (= orthogonal), in a variability view ● Easier to trace (mapping to other views), but added complexity and up-front investment. ● Combination of both ● Including case-by-case decisions and heterogeneous views.
  • 3. Traceability Traceability between: ● Separate variability models and architecture models. ● Architecture views with embedded variability ● Views and other artifacts (e.g. code, tests)
  • 4. Research agenda (1 of 2) ● How to combine Separation of Concerns and integration with respect to variability ● Look at stakeholders' needs, nature of domain ● “No silver bullet” in variability representation ● Don't add too much overhead ● Use cost-based reasoning ● Manage many options with abstraction – or avoid them
  • 5. Research agenda (2 of 2) ● Automation opportunities: ● Checking consistency of models ● Deriving products ● Creating traceability links ● Integration of different variability management approaches in heterogeneous organizations ● Traceability through a single metamodel that is used to generate architectural views