Method and device for identifying engineering defects

An engineering and defect technology, applied in the field of identifying engineering defects, can solve problems such as poor generalization ability and low prediction efficiency, and achieve the effects of reducing software development costs, shortening self-test time-consuming, improving prediction efficiency and generalization ability

Pending Publication Date: 2021-09-28
BEIJING JINGDONG ZHENSHI INFORMATION TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
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Problems solved by technology

[0005] In view of this, the embodiments of the present invention provide a method and device for identifying engineering defects, which can solve the problems of low prediction efficiency and poor generalization ability of existing software defects

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  • Method and device for identifying engineering defects
  • Method and device for identifying engineering defects
  • Method and device for identifying engineering defects

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Embodiment Construction

[0032] Exemplary embodiments of the present invention are described below in conjunction with the accompanying drawings, which include various details of the embodiments of the present invention to facilitate understanding, and they should be regarded as exemplary only. Accordingly, those of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the invention. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness.

[0033] figure 1 is a schematic diagram of the main flow of the method for identifying engineering defects according to the first embodiment of the present invention, such as figure 1 As shown, the method for identifying engineering defects includes:

[0034] In step S101, the predicted target project is obtained, and the bytecode file generated after compiling each class...

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Abstract

The invention discloses a method and a device for identifying engineering defects, and relates to the technical field of computers. A specific embodiment of the method comprises the following steps: acquiring a predicted target project, and analyzing a byte code file generated after compiling each class in the target project to obtain static metric feature data; and inputting the static metric feature data into a pre-constructed prediction model to obtain the existence probability of each class of defects, and further generating defect information of the target project. Therefore, the embodiment of the invention can solve the problems of low software defect prediction efficiency and poor generalization ability in the prior art.

Description

technical field [0001] The invention relates to the field of computer technology, in particular to a method and device for identifying engineering defects. Background technique [0002] As the scale of software increases, it is quite time-consuming to accurately find out the defects existing in the software. Testers need to design a large number of test cases from different angles such as software code and functions to test the developed system. Nowadays, the software defect prediction technology based on many machine learning algorithms analyzes the historical data of software defects to help testers find high-risk modules, so as to rationally allocate limited resources and improve test efficiency. [0003] In the course of realizing the present invention, the inventor finds that there are at least the following problems in the prior art: [0004] Among many excellent machine learning algorithms, artificial neural network classification technology is widely used in softwa...

Claims

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Application Information

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IPC IPC(8): G06F11/36G06N3/04G06N3/08
CPCG06F11/3684G06F11/3688G06N3/084G06N3/045Y02P90/30
Inventor 杨钊陈佳华严贝贝霍全富
Owner BEIJING JINGDONG ZHENSHI INFORMATION TECH CO LTD
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