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- W65733757 abstract "Automatically generated state machines are constrained by their complexity, which can be reduced via hierarchy generation. A technique has been demonstrated for hierarchy generation, although evaluation of this technique has proved difficult.There are a variety of metrics that can be used to provide indicators of how complicated a state machine or statechart is, one such example is cyclomatic complexity (the number of edges - the number of states + 2). Despite this, the existing complexity metric for statecharts does not operate on the hierarchy, instead providing an equivalent cyclomatic complexity for statecharts by ignoring it.This paper defines two new metrics; Top Level Cyclomatic Complexity and Hierarchical Cyclomatic Complexity. These metrics assess the complexity of a hierarchical machine directly, as well as allowing for comparison between the original, flat state machine and its hierarchical counterpart." @default.
- W65733757 created "2016-06-24" @default.
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- W65733757 date "2011-01-01" @default.
- W65733757 modified "2023-09-23" @default.
- W65733757 title "Complexity Metrics for Hierarchical State Machines" @default.
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- W65733757 doi "https://doi.org/10.1007/978-3-642-23716-4_10" @default.
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