Analyzing model changes with Loupe

S. Popoola, J. Gray, A. García-Domínguez, D. Kolovos
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Abstract

Models are software artifacts that are subject to continuous change. The extraction and analysis of these changes may significantly affect model maintenance. Existing work has already investigated processes and techniques to support, analyze and mitigate the impact of changes to models. However, most of these works focus on the analysis of changes between two sets of models and do not take a holistic approach to the entire version history of models. Furthermore, there is limited support for constructing user-defined queries that can be used to extract change information from models. This makes it challenging to analyse the changes over the version history of the models. To support change analysis across the entire version history, we developed a change analyzer named Loupe, which can be used to query and extract change information from all versions of a model. Loupe stores the changes across successive model versions and also provides a set of language constructs to query the changes. Loupe has been compared against a generic model indexing tool (Eclipse Hawk), evaluating its capability to extract changes across two successive model versions and its capability to detect instances of a refactoring operation that has been executed across a model's history. Loupe was able to extract this information using queries that were more concise and ran faster than what could be written for Hawk.
用Loupe分析模型变化
模型是受持续变化影响的软件工件。这些变化的提取和分析可能会显著影响模型维护。现有的工作已经调查了过程和技术来支持、分析和减轻模型变化的影响。然而,这些工作中的大多数都集中在分析两组模型之间的变化,而没有对模型的整个版本历史采取全面的方法。此外,对于构造可用于从模型中提取变更信息的用户定义查询的支持有限。这使得在模型的版本历史上分析变更具有挑战性。为了支持跨整个版本历史的变更分析,我们开发了一个名为Loupe的变更分析器,它可以用于从模型的所有版本中查询和提取变更信息。Loupe跨连续的模型版本存储更改,并且还提供了一组语言构造来查询更改。我们将Loupe与一个通用的模型索引工具(Eclipse Hawk)进行了比较,评估了它在两个连续的模型版本中提取更改的能力,以及它在模型历史中检测重构操作实例的能力。Loupe能够使用比为Hawk编写的查询更简洁、运行速度更快的查询提取这些信息。
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