交互式模型转换中的决策重用

Mika Siikarla, Tarja Systä
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引用次数: 12

摘要

传播增量变更和维护可追溯性是交互式模型转换的挑战,例如,将自动化与用户决策相结合的模型转换。在对源模型进行渐进式更改之后,必须重新运行转换。早先的决策不能直接使用,因为它们可能受到变更的影响。手动重新执行或验证每个决策很容易出错,而且很麻烦。我们提出了一种方法来为很好(但不是完全)理解的转换建模用户交互。我们将每个决策建模为一组选项及其结果。此外,我们对决策上下文进行建模,即影响决策的环境(包括模型元素)。当运行转换时,将记录用户决策及其上下文。在模型更改之后,如果其上下文没有更改,则可以安全地重用决策,而不会给用户带来负担。上下文将源模型元素映射到决策,从而提供跨决策的可跟踪性。
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Decision Reuse in an Interactive Model Transformation
Propagating incremental changes and maintaining traceability are challenges for interactive model transformations, i.e. ones that combine automation with user decisions. After evolutionary changes to the source models the transformations have to be rerun. Earlier decisions cannot be used directly, because they may have been affected by the changes. Re-doing or verifying each decision manually is error-prone and burdensome. We present a way to model user interaction for transformations that are well (but not fully) understood. We model each decision as a set of options and their consequences. Also, we model the decision context, i.e. the circumstances (including model elements) affecting the decision. When a transformation is run, user decisions and their context are recorded. After a model change, a decision can be safely reused without burdening the user, if its context has not changed. The context maps source model elements to a decision, and thus provides traceability across the decision.
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