汽车工业弹性和基于模型的自动测试方法综述

Muhammad Awais Khan, A. Jadoon, K. Huq, S. Mumtaz, Jonathan Rodrigues
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引用次数: 3

摘要

随着模型驱动开发成为软件行业(尤其是汽车行业)的新兴趋势,对基于模型的自动测试的需求日益增加。传统的软件测试缺乏对高度一致的软件系统(如汽车工业)的动态需求的支持。基于模型的自动化测试可以为生产平台独立模型、一次设计、随处运行的方法提供重要帮助。自动基于模型的测试不仅可以通过自动重用方法提高软件质量、降低复杂性和提高生产率,而且还提供了一种经济有效的解决方案。本文以一种调查的方式概述了不同的基于模型的测试方法和工具,这些方法和工具可以帮助构建高效和有效的车辆系统软件。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Overview of Resilient and Automatic Model-Based Testing Approaches for Automotive Industry
The need for automatic model-based testing is increasing day by day as model-driven development is an emerging trend in the software industry, especially the automotive industry. Traditional software testing lacks the support of dynamic requirements for a highly consistent software systems, such as, for automotive industry. Automatic Model-based testing can provide significant help to produced platform independent model, design once and run anywhere approach. Automatic model-based testing not only increases the software quality, reduce complexity and improve productivity by reusing approach automatically for the automotive industry but also provide a cost-effective solution. This paper provides an overview in a manner of survey for different model-based testing approaches and tools that can help in building efficient and effective software for vehicular systems.
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