炼油石化行业软件质量分析

V. V. Fomina, T. Levina, Krasnov A. N.
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引用次数: 1

摘要

石油和天然气行业是俄罗斯预算收入的首要来源。为了最大限度地降低石油生产和炼油成本,该行业正朝着更明显地使用IT的方向发展。值得注意的是,任何一家大型炼油厂都不仅优先考虑最终产品的质量,而且还优先考虑大数据的存储和传输。这个行业在不断发展,科学、技术和新的挑战也在不断发展。这就需要创造新的软件并改进旧的软件。每个软件都有自己独特的功能,这些功能会带来特定的优点和缺点。当今软件套件的复杂性和规模的急剧增加,加上它们越来越关键的性质,已经提高了客户和用户对软件质量和安全的要求。通过使用与主要软件公司合作开发的国际标准,确保程序和软件套件的高效率和高质量。本文的重点在于对软件的语义错误进行测试,并按照GOST 28806-90软件质量标准对软件进行描述。术语和定义。及时测试各种错误的重要性不容低估,因为这些错误可能造成远远超过其积极影响的相当大的损害。本文论述了正确使用信息技术术语和表达的重要性。它描述了软件源代码的静态和动态分析。并给出了每种分析方法的优缺点,如表所示。研究人员使用PVS-Studio对两个软件产品进行静态分析。分析产生了具体的发现。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analyzing the Quality of Software Used in Oil Refining and Petrochemical Industries
The oil-and-gas industry is Russia’s top source of budget income. This industry is moving towards more pronounced use of IT in order to minimize oil production and refining costs. Notably, any major oil refinery prioritizes not only the final-product quality but also big data storage and transfer. The industry is evolving, and so do science, technology, and new challenges. This necessitates creating novel software and improving the old software. Each software has its own unique features that bring specific advantages and disadvantages. The dramatic increase in the complexity and size of the today’s software suites, coupled with their ever more critical nature, has raised the customers’ and users’ requirements to software quality and safety. High efficiency and quality of programs and software suites is ensured by using international standards developed in cooperation with the premier software companies. The key point of this paper consists in testing the software for semantic errors as well as in describing such software in terms of GOST 28806–90 Software Quality. Terms and Definitions. The importance of timely tests for various errors cannot be underestimated, as such errors may result in considerable damage far beyond its positive effects. The paper dwells upon the importance of proper usage of IT terminology and expressions. It describes the static and dynamic analysis of software source code. It also presents the advantages and disadvantages of each analysis method as shown in the table. The researchers have used PVS-Studio for the static analysis of two software products. The analysis produced specific findings.
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