指导轻量级软件测试资格的IP集成使用虚拟原型

Daniel Große, H. M. Le, Muhammad Hassan, R. Drechsler
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引用次数: 5

摘要

软件驱动验证(SDV)有望显著减少IP集成和验证任务的总体时间和精力。在SystemC虚拟原型(VPs)的帮助下,可以在早期设计阶段开发用于验证(新的)集成IP块和硬件/软件集成的软件测试,并在随后的步骤中重用。然而,迄今尚未考虑到有关这些测试质量的关键问题。为此,我们在本文中提出了一种基于突变分析的新型质量驱动方法。通过将基于突变的鉴定的主要概念提升到SDV的上下文中,我们的方法能够检测到软件测试中严重的质量问题。其核心是一种新颖的一致性分析,它以轻量级的方式测量硬件/软件联合模拟中IP的覆盖率,并将这种覆盖率与软件测试结果联系起来,以提供关于如何进一步提高测试质量的明确反馈。我们提供了两个关于实际vp和软件测试的案例研究,以证明我们的方法的适用性和有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Guided lightweight Software test qualification for IP integration using Virtual Prototypes
Software-Driven Verification (SDV) has the promise to significantly reduce the overall time and effort for the task of IP integration and verification. With the help of SystemC Virtual Prototypes (VPs), SW tests to verify the (new) integrated IP blocks and the HW/SW integration can be developed in an early design stage and reused in the subsequent steps. However, the crucial question regarding the quality of these tests has not been considered so far. For this purpose, we propose in this paper a novel quality-driven methodology based on mutation analysis. By elevating the main concepts of mutation-based qualification to the context of SDV, our methodology is capable to detect serious quality issues in the SW tests. At its heart is a novel consistency analysis, that measures the coverage of the IP in HW/SW co-simulation in a lightweight fashion and relates this coverage to the SW test results to provide clear feedback on how to further improve the quality of tests. We provide two case studies on real-world VPs and SW tests to demonstrate the applicability and efficacy of our methodology.
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