ANALYSIS OF QUALITY OF DEVELOPED SOFTWARE USED IN OIL PROCESSING AND PETROCHEMICAL INDUSTRY

摘要

The oil and gas industry is Russia is the leading industry in terms of cash inflows to the budget. Information technologies are actively being introduced into this sphere in order to minimize the cost of oil production. It should be noted that for any large oil refinery, not only quality output is important, but also the storage and transmission of large data flows. Progress does not stand still, science and technology are developing, new tasks are emerging. In this connection, it is necessary to create new software and improve the old one.Each software product has the right, inherent only to it, features and features that can provide certain advantages or disadvantages. In connection with the sharp advantage and a lot of modern software systems with the simultaneous fulfillment of the requirements imposed on their quality and safety. To ensure high efficiency and quality of software and software complexes, international standards are developed, developed with the participation of representatives of the leading companies in the software development industry.The key point of the article is checking the developed software tools for semantic errors, the description of programs in accordance with GOST 28806-90 “Quality of software. Terms and Definitions”. The importance of timely software verification on various errors, as they can cause significant damage, far exceeding the positive effect of their use.The article considers the importance of the correct use of IT terms and expressions. Static and dynamic analyzes of the software source code are considered. The advantages and disadvantages for each of the types of analysis that are presented in the table are considered. The advantages and disadvantages for each of the types of analysis that are presented in the table are considered. A static analysis of two software products was performed using the PVS-Studio analyzer. Based on the analysis, the relevant conclusions are drawn.