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A posteriori operation detection in evolving software models

机译:演化软件模型中的后验操作检测

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摘要

As every software artifact, also software models are subject to continuous evolution. The operations applied between two successive versions of a model are crucial for understanding its evolution. Generic approaches for detecting operations a posteriori identify atomic operations, but neglect composite operations, such as refactorings, which leads to cluttered difference reports.To tackle this limitation, we present an orthogonal extension of existing atomic operation detection approaches for detecting also composite operations. Our approach searches for occurrences of composite operations within a set of detected atomic operations in a post-processing manner. One major benefit is the reuse of specifications available for executing composite operations also for detecting applications of them. We evaluate the accuracy of the approach in a real-world case study and investigate the scalability of our implementation in an experiment.
机译:作为每个软件工件,软件模型也会不断发展。在模型的两个连续版本之间应用的操作对于理解模型的演化至关重要。用于检测操作的通用方法后验方法可以识别原子操作,但是却忽略了复合操作(例如重构),这会导致混乱的差异报告。为解决这一限制,我们提出了一种用于检测复合操作的现有原子操作检测方法的正交扩展。我们的方法以后处理的方式在一组检测到的原子操作中搜索复合操作的出现。一个主要好处是可重复使用可用于执行复合操作的规范,也可用于检测其应用。我们在实际案例研究中评估该方法的准确性,并在实验中研究我们实施的可扩展性。

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