Abstract:
The article describes the technology of automatic software testing in relation to industrial systems of computer graphics and optical simulation. Test automation becomes vital in the face of limited resources with the frequent release of product versions, which often occur among software product manufacturers. There are presented both methods of regression testing the computational kernel of such systems, and methods of testing the user interface. Scripting mechanism based on Python is used for regression testing, its multithreading capabilities which allow significant decreasing of testing time are also described. Python allows two ways of parallelization - multithreading and multiprocessing, both of them are considered. Due to the stochastic methods used in optical simulation calculation results may differ from time to time, which complicates regression testing. In this case, it is proposed to apply some (in each case - your own) threshold when comparing the simulation results. Separately automated testing of user interface which was elaborated basing on the AutoIt tool is described. The approach for testing the user interface of systems implemented in the form of plugins to existing CAD/PDM complexes, the source code of which is closed and not available to the authors of automatic tests, are described as well.
Citation:
E. Y. Denisov, A. G. Voloboy, E. D. Birukov, M. S. Kopylov, I. A. Kalugina, “Technologies for automatic testing of a software package for realistic computer graphics”, Proceedings of ISP RAS, 32:1 (2020), 71–88
\Bibitem{DenVolBir20}
\by E.~Y.~Denisov, A.~G.~Voloboy, E.~D.~Birukov, M.~S.~Kopylov, I.~A.~Kalugina
\paper Technologies for automatic testing of a software package for realistic computer graphics
\jour Proceedings of ISP RAS
\yr 2020
\vol 32
\issue 1
\pages 71--88
\mathnet{http://mi.mathnet.ru/tisp486}
\crossref{https://doi.org/10.15514/ISPRAS-2020-32(1)-4}
Linking options:
https://www.mathnet.ru/eng/tisp486
https://www.mathnet.ru/eng/tisp/v32/i1/p71
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Fang Wang, Kan Yu, Lei Yang, “Computer Graphics Algorithm Demonstration System”, Procedia Computer Science, 228 (2023), 736