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Use, potential, and showstoppers of models in automotive requirements engineering

机译:汽车需求工程中模型的用途,潜力和表现

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Several studies report that the use of model-centric methods in the automotive domain is widespread and offers several benefits. However, existing work indicates that few modelling frameworks explicitly include requirements engineering (RE), and that natural language descriptions are still the status quo in RE. Therefore, we aim to increase the understanding of current and potential future use of models in RE, with respect to the automotive domain. In this paper, we report our findings from a multiple-case study with two automotive companies, collecting interview data from 14 practitioners. Our results show that models are used for a variety of different purposes during RE in the automotive domain, e.g. to improve communication and to handle complexity. However, these models are often used in an unsystematic fashion and restricted to few experts. A more widespread use of models is prevented by various challenges, most of which align with existing work on model use in a general sense. Furthermore, our results indicate that there are many potential benefits associated with future use of models during RE. Interestingly, existing research does not align well with several of the proposed use cases, e.g. restricting the use of models to informal notations for communication purposes. Based on our findings, we recommend a stronger focus on informal modelling and on using models for multi-disciplinary environments. Additionally, we see the need for future work in the area of model use, i.e. information extraction from models by non-expert modellers.
机译:多项研究报告称,以模型为中心的方法在汽车领域的使用非常广泛,并提供了许多好处。但是,现有工作表明,很少有建模框架明确包含需求工程(RE),并且自然语言描述仍然是RE中的现状。因此,我们旨在针对汽车领域增加对RE中模型的当前和将来使用的理解。在本文中,我们报告了与两家汽车公司进行的多案例研究的结果,并收集了14位从业人员的访谈数据。我们的结果表明,在汽车领域的RE中,模型可用于多种不同目的,例如改善沟通并处理复杂性。但是,这些模型通常以非系统的方式使用,并且仅限于少数专家。各种挑战阻止了模型的更广泛使用,其中大多数挑战与一般意义上的模型使用方面的现有工作保持一致。此外,我们的结果表明,在RE期间将来使用模型有许多潜在的好处。有趣的是,现有研究与几个建议的用例并不太吻合。出于沟通目的将模型的使用限制为非正式表示法。根据我们的发现,我们建议更加关注非正式建模以及将模型用于多学科环境。此外,我们认为有必要在模型使用领域中开展进一步的工作,即由非专家建模者从模型中提取信息。

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