In the context of digital transformation, companies are increasingly forced to develop, manage and continually align IT and business. Companies have found in Enterprise Architecture (EA) a valuable tool to represent and manage IT and business in a holistic way by establishing connections among technology concerns and business/strategical/motivational ones. EA modelling is one of the most critical tasks in this context to represent accurate models that make the difference in the decision‐making and governance processes of the company. In most of the cases, EA models are manually defined by experts which is usually error‐prone and time‐consuming. Thus, the constant business and IT realignment through manual modelling becomes complex and expensive. This research presents ArchiRev, an extensible reverse engineering method that automate the extraction of EA models (using ArchiMate language) by analysing different information systems artefacts. This proposal has been validated through an industrial case study in the context of a C#‐based system of an Italian ship refurbishment company. The study has demonstrated the effectiveness (based in the opinion of some business experts) and efficiency of the method. The main implication is that EA modelling can be accelerated, whereas subjectivity and errors introduced by experts might be reduced.

中文翻译：

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ArchiRev-朝着ArchiMate模型进行信息系统的反向工程。工业案例研究

在数字化转型的背景下，越来越多的公司被迫开发，管理和持续调整IT与业务。公司在企业体系结构（EA）中发现了一种有价值的工具，可以通过在技术关注点与业务/战略/激励因素之间建立联系来以整体方式表示和管理IT和业务。在这种情况下，EA建模是最关键的任务之一，它代表了可以在公司的决策和治理流程中发挥作用的准确模型。在大多数情况下，EA模型是由专家手动定义的，通常容易出错且耗时。因此，通过手动建模进行的持续业务和IT调整变得复杂且昂贵。这项研究提出了ArchiRev，一种可扩展的逆向工程方法，通过分析不同的信息系统伪像，自动提取EA模型（使用ArchiMate语言）。该提案已通过在意大利船舶翻新公司基于C＃的系统中进行的工业案例研究得到验证。这项研究证明了该方法的有效性（根据一些业务专家的观点）和效率。主要含义是可以加速EA建模，而专家引入的主观性和错误可能会减少。这项研究证明了该方法的有效性（根据一些业务专家的观点）和效率。主要含义是可以加速EA建模，而专家引入的主观性和错误可能会减少。这项研究证明了该方法的有效性（根据一些业务专家的观点）和效率。主要含义是可以加速EA建模，而专家引入的主观性和错误可能会减少。