结合信息流图和分析矩阵对ESIM(嵌入式系统改进方法)进行改进,以有效分析嵌入式软件中的意外障碍

Yasufumi Shinyashiki, Toshiro Mise, Masaaki Hashimoto, Keiichi Katamine, Naoyasu Ubayashi, Takako Nakatani
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引用次数: 3

摘要

为了提高嵌入式软件的质量,本文提出了一种嵌入式系统改进方法(ESIM),将信息流图(IFD)与分析矩阵(Analysis Matrix)相结合,对软件中的意外障碍进行分析。这些障碍在软件规范中很难预测。最近,嵌入式系统变得越来越大,越来越复杂。因此,从理论上讲,这些系统的开发周期应该更长。相反,在实践中,周期被缩短了。工业上的这种趋势导致了对意想不到的障碍的疏忽,从而影响了嵌入式软件的质量。为了防止对意外障碍的疏忽,我们已经提出了两种需求分析方法:使用分析矩阵的ESIM和使用IFD的方法。为了在合理的成本下提高意外障碍分析的效率,我们现在通过将IFD与分析矩阵相结合来增强ESIM。本文主要从以下三个方面对其进行了研究。首先,定义了包含分析矩阵和IFD的概念模型。然后,提出了使用分析矩阵和IFD的需求分析过程,并将每个特定的角色分配给专家或非专家工程师。最后,为了验证这种增强的有效性,我们使用IFD进行了描述实验。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Enhancing the ESIM (Embedded Systems Improving Method) by Combining Information Flow Diagram with Analysis Matrix for Efficient Analysis of Unexpected Obstacles in Embedded Software
In order to improve the quality of embedded software, this paper proposes an enhancement to the ESIM (embedded systems improving method) by combining an IFD (information flow diagram) with an Analysis Matrix to analyze unexpected obstacles in the software. These obstacles are difficult to predict in the software specification. Recently, embedded systems have become larger and more complicated. Theoretically therefore, the development cycle of these systems should be longer. On the contrary, in practice the cycle has been shortened. This trend in industry has resulted in the oversight of unexpected obstacles, and consequently affected the quality of embedded software. In order to prevent the oversight of unexpected obstacles, we have already proposed two methods for requirements analysis: the ESIM using an Analysis Matrix and a method that uses an IFD. In order to improve the efficiency of unexpected obstacle analysis at reasonable cost, we now enhance the ESIM by combining an IFD with an Analysis Matrix. The enhancement is studied from the following three viewpoints. First, a conceptual model comprising both the Analysis Matrix and IFD is defined. Then, a requirements analysis procedure is proposed, that uses both the Analysis Matrix and IFD, and assigns each specific role to either an expert or non-expert engineer. Finally, to confirm the effectiveness of this enhancement, we carry out a description experiment using an IFD.
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