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The LDM tool uses a standard notion of dependency, in which a
module A depends on a module B if there are explicit references
in A to syntactic elements of B. Currently, a module is a Java class, but a more fine-grained analysis is possible. This simple but effective notion of dependency works well for understanding design dependencies, in which modifications to one module might affect another. It is less well suited to determining runtime properties (such as how failures can propagate between modules), which require a deeper static analysis. As in other dependency tools (such the Reflexion Model Tool [3]), the extraction of dependences can be decoupled from their analysis, so the techniques we describe here would apply equally well on top of more sophisticated static analyses. In the LDM tool, the DSM can be configured to display an ¡®X¡¯ for a dependency or to display a dependency strength representing the number of references between two modules that is responsible for their dependence.
LDM offers DSM algorithms for partitioning; it does not currently offer automatic clustering. The default decomposition used by LDM is based on the code organization: the Java package structure. The matrix presented is hierarchical (as in Figure 4), and the algorithms and manual intervention can be applied at
different levels. Users can edit the systems structure. They can reorder modules
and partition by hand, and create, delete, and move subsystems to reflect their understanding of the architecture. Dependencies are automatically recalculated and re-aggregated as the structure is changed.

[ Last edited by p1801321 on 2009-12-8 at 08:30 ]

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