Mixed source software quality evaluation method based on dual-language call relation graph

Abstract

The invention provides a mixed-source software quality evaluation method based on a dual-language call relation graph, which focuses on Java and python-oriented mixed-source software quality evaluation and comprises the following steps of: setting and selecting quality indexes; constructing a Java / Python mixed source quality model based on the selected evaluation indexes; acquiring basic information for the evaluation unit of each index; constructing a Java and Python bilingual call relation graph on the basis of obtaining the basic information; determining the score of each quality index based on the collected basic information and the calling relationship; determining a weight value of each quality index based on the importance judgment matrix; and determining the score of the software according to the score and the weight value of each quality index so as to evaluate the quality of the mixed source software.

Description

technical field [0001] The invention relates to a method for evaluating the quality of mixed-source software based on a bilingual call relation graph, and belongs to the technical field of quality evaluation. Background technique [0002] In recent years, with the continuous upgrading and evolution of computer hardware systems, people have put forward higher requirements for software quality. With the advent of the information age, people have more and more requirements for the scale of software, and the structure of software is becoming more and more complex. Therefore, the introduction of software quality assessment and evaluation, the discovery of internal defects in software, and the direction of evolution and improvement have been It has become a key issue that the national government, academic circles, business circles and all walks of life pay close attention to. The evaluation and evaluation technology of software quality is helpful to help people in the industry fi...

AI Technical Summary

Problems solved by technology

[0003] However, most of the software quality assessment models widely recognized and used in the industry and academia are for closed-source software, and have not yet taken into account the mixed-source attributes of software, and lack evaluation indicators designed for the mixed-source attributes of mixed-source software.

Therefore, these software quality assessment models may have their own advantages in evaluating the quality of closed-source software, but they cannot better evaluate the quality of mixed-source software.

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