Hybrid metric to reduce labour costs in assessing the complexity of the programs

Тип публикации: доклад, тезисы доклада, статья из сборника материалов конференций

Конференция: International Conference on Information Technologies in Business and Industries, ITBI 2019

Год издания: 2019

Идентификатор DOI: 10.1088/1742-6596/1333/3/032045

Аннотация: The article deals with the problem of assessing the complexity of software products. A review of widely used metrics (number of lines of code, average number of lines for functions, Halstead's metrics, Jilb's metrics, ABC-metric) is being conducted, on the basis of which a conclusion is drawn about their deficiencies. Also, indicators are analyzed, subtracted when assessing the complexity of programs, such as: program saturation with conditional operators or cycle operators, complexity of program understanding, program coding complexity, program content. A hybrid metric based on a composition of already well-known ones is proposed. As a result of the experiment to assess the complexity of the program, it is shown that the proposed hybrid metric allows us to more effectively evaluate the program. The use of such a metric can significantly reduce the computation time. © Published under licence by IOP Publishing Ltd.

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Издание

Журнал: Journal of Physics: Conference Series

Выпуск журнала: Vol. 1333, Is. 3

Номера страниц: 32045

ISSN журнала: 17426588

Издатель: Institute of Physics Publishing

Авторы

  • Kukartsev V.V. (Siberian Federal University, 79, Svobodny pr., Krasnoyarsk, 660041, Russian Federation, Reshetnev Siberian State University of Science and Technology, 31, Krasnoyarsky Rabochy Av., Krasnoyarsk, 660037, Russian Federation)
  • Tynchenko V.S. (Siberian Federal University, 79, Svobodny pr., Krasnoyarsk, 660041, Russian Federation, Reshetnev Siberian State University of Science and Technology, 31, Krasnoyarsky Rabochy Av., Krasnoyarsk, 660037, Russian Federation)
  • Boyko A.A. (Siberian Federal University, 79, Svobodny pr., Krasnoyarsk, 660041, Russian Federation, Reshetnev Siberian State University of Science and Technology, 31, Krasnoyarsky Rabochy Av., Krasnoyarsk, 660037, Russian Federation)
  • Denisov M.A. (Siberian Federal University, 79, Svobodny pr., Krasnoyarsk, 660041, Russian Federation)
  • Kukartsev V.A. (Siberian Federal University, 79, Svobodny pr., Krasnoyarsk, 660041, Russian Federation)
  • Chzhan E.A. (Siberian Federal University, 79, Svobodny pr., Krasnoyarsk, 660041, Russian Federation)

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