Подход к конкретизации тестовых сценариев в рамках технологии автоматизации тестирования промышленных программных проектов

In this paper we propose an approach to efficient automating test technology for industrial software projects, that uses a formal model of the system, automatically performs a symbolic verification, generation and concretization of the symbolic traces, the generation of test suites for concretized traces, and also includes tools for analysis of the testing results, allowing users to automate the full cycle of testing. Particular emphasis is placed on the presentation of the algorithm concretization and setting of test scenarios.Предложен подход к созданию эффективной технологии автоматизации тестирования промышленных программных проектов, который использует формальную модель системы, выполняет автоматически символьную верификацию, генерацию и конкретизацию символьных трасс, генерацию тестовых наборов по конкретизированным трассам, а также включает средства анализа результатов исполнения тестов, позволяя автоматизировать полный цикл тестирования. Особый акцент сделан на изложении алгоритма конкретизации и настройки тестовых сценариев

Подход к автоматизации отладки поведенческих сценариев

The paper presents two approaches to debugging the application model behavior scenarios: semi-automatic and automatic. The first approach allows a user to automatize the process of finding the place in a concrete behavioral scenario that is suspicious of being a cause of an error. The second approach allows, in a single cycle of the analysis, to automatically identify not only the place, but also possible causes of errors in a given set of generated behavioral symbolic scenarios.В работе представлены два метода, направленных на решение задачи автоматизации отладки поведенческих сценариев приложения: полуавтоматический и автоматический. Первый дает возможность пользователю автоматизировать поиск тех мест в выбранном символьном поведенческом сценарии, в которых кроется возможная причина ошибки. Второй позволяет в едином цикле анализа автоматически идентифицировать не только места, но и возможные причины ошибок в заданном множестве сгенерированных символьных поведенческих сценариев

The Adoptation of the Training Plan of Bachalor Specialty “Informatics” of the Kherson State University to the Computing Curricula (CС)

The main information about the traditions of Informatics learning in Ukraine is described, the recommendations of CC are examined, the adopted training plan of Informatics specialty and the choice of subjects is described in the present article

STRUCTURE AND POSSIBILITIES OF PM «SOLVING ENVIRONMENT» OF INTEGRATED PROGRAMMATIC ENVIRONMENT «MATHLOGIC V.2».

This article presents the PM ‘Solving environment’ of integrated programmatic environment Mathlogic v.2, (ML2) which was made within the framework of project of Terra Mathematica in the Laboratory of Pedagogical Software Development and Implementation. The article describes the structure of PM «Solving environment», exposes features of its functionality, and also technologies and methods which were used for their realization

Approach to Behavior Scenarios Debugging

The paper presents two approaches to debugging the application model behavior scenarios: semi-automatic and automatic. The first approach allows a user to automatize the process of finding the place in a concrete behavioral scenario that is suspicious of being a cause of an error. The second approach allows, in a single cycle of the analysis, to automatically identify not only the place, but also possible causes of errors in a given set of generated behavioral symbolic scenarios

An Approach to Concretization of Test Scenarios in Industrial Automation Testing of Software Projects

In this paper we propose an approach to efficient automating test technology for industrial software projects, that uses a formal model of the system, automatically performs a symbolic verification, generation and concretization of the symbolic traces, the generation of test suites for concretized traces, and also includes tools for analysis of the testing results, allowing users to automate the full cycle of testing. Particular emphasis is placed on the presentation of the algorithm concretization and setting of test scenarios.</p

An Approach to Concretization of Test Scenarios in Industrial Automation Testing of Software Projects

In this paper we propose an approach to efficient automating test technology for industrial software projects, that uses a formal model of the system, automatically performs a symbolic verification, generation and concretization of the symbolic traces, the generation of test suites for concretized traces, and also includes tools for analysis of the testing results, allowing users to automate the full cycle of testing. Particular emphasis is placed on the presentation of the algorithm concretization and setting of test scenarios