Integrated and Iterative Requirements Analysis and Test Specification: A Case Study at Kostal

Carsten Wiecher, Jannik Fischbach, Joel Greenyer, Andreas Vogelsang, Carsten Wolff, R. Dumitrescu
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引用次数: 4

Abstract

Currently, practitioners follow a top-down approach in automotive development projects. However, recent studies have shown that this top-down approach is not suitable for the implementation and testing of modern automotive systems. Specifically, practitioners increasingly fail to specify requirements and tests for systems with complex component interactions (e.g., e-mobility systems). In this paper, we address this research gap and propose an integrated and iterative scenario-based technique for the specification of requirements and test scenarios. Our idea is to combine both a top-down and a bottom-up integration strategy. For the top-down approach, we use a behavior-driven development (BDD) technique to drive the modeling of high-level system interactions from the user's perspective. For the bottom-up approach, we discovered that natural language processing (NLP) techniques are suited to make textual specifications of existing components accessible to our technique. To integrate both directions, we support the joint execution and automated analysis of system-level interactions and component-level behavior. We demonstrate the feasibility of our approach by conducting a case study at Kostal (Tierl supplier). The case study corroborates, among other things, that our approach supports practitioners in improving requirements and test specifications for integrated system behavior.
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集成和迭代需求分析和测试规范:Kostal的案例研究
目前,从业人员在汽车开发项目中遵循自顶向下的方法。然而,最近的研究表明,这种自上而下的方法不适合现代汽车系统的实施和测试。具体地说,从业者越来越不能为具有复杂组件交互的系统(例如,电子移动系统)指定需求和测试。在本文中,我们解决了这一研究缺口,并提出了一种集成和迭代的基于场景的技术,用于需求和测试场景的规范。我们的想法是结合自顶向下和自底向上的集成策略。对于自顶向下的方法,我们使用行为驱动开发(BDD)技术来从用户的角度驱动高级系统交互的建模。对于自底向上的方法,我们发现自然语言处理(NLP)技术适合于使我们的技术可以访问现有组件的文本规范。为了集成这两个方向,我们支持系统级交互和组件级行为的联合执行和自动分析。我们通过在Kostal (Tierl供应商)进行案例研究来证明我们方法的可行性。案例研究证实,在其他事情中,我们的方法支持从业者改进集成系统行为的需求和测试规范。
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