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System of quantitative characteristics of software quality assessment
Abstract.The subject of the study is the process of teaching programming. Information technologies are in close integration with various spheres of human activity. The peculiarities of information technologies include rapid rates of development of technologies in this field and the need to modernize already functioning information and technical means. Existing standards and other normative documents can be applied only for real developments, which can not be attributed to the programs developed by students in the learning process, so such documents and standards can not be fully used to assess the level of knowledge of students, because before their application it is necessary to carry out the analysis of the most significant ones and to adapt to the specifics of the learning process. In the process of research, those quantitative characteristics were singled out - metrics that allow to reveal the real level of possession of the student's technologies. Using the obtained quantitative characteristics as an integral system, the teachers have an opportunity to get an objective assessment of the program developed by the student, and such an assessment will fully meet the requirements of a graded rating of students' performance. As a result of the analysis of this area of research, the metrics from the group "Metric characteristics" were singled out and described: the program completion code, the total program execution time, the maximum amount of physical memory used, the maximum number of used memory pages, the maximum amount of virtual memory used, the use of processor time, total processor time, which can be used as a basis for building a software product that performs testing and student programs based on a dynamic approach.
Keywords: benchmarking system, quality of the program, program evaluation, automation of knowledge testing, dynamic testing of programs, testing system, student programs, program metrics, pedagogical tool, system of program metrics
Article was received:02-05-2018
This article written in Russian. You can find full text of article in Russian here .