Software Test Data Management Based on Knowledge Graph

Authors

  • Li Gao Faculty of Computer and Software Engineering, Huaiyin Institute of Technology, Huai’an 223003, China
  • Junlin Qiu Faculty of Computer and Software Engineering, Huaiyin Institute of Technology, Huai’an 223003, China
  • Guanhua Chen Faculty of Computer and Software Engineering, Huaiyin Institute of Technology, Huai’an 223003, China

DOI:

https://doi.org/10.31449/inf.v48i16.6416

Abstract

With the maturity of software development models and methods, large-scale software is born. However, the current problem is the lack of a software test data management model that integrates basic data management and advanced knowledge reasoning. To solve this problem, we constructed a software test data management model based on knowledge graph, so as to realize the intelligent management and reasoning of software test data. The model adopts the entity extraction model based on feed-forward neural network, the knowledge graph integration method based on graph database, and the knowledge reasoning submodule based on deep learning. In order to validate the model effect, we evaluated the functions of the three modules separately. Specifically, the knowledge graph construction accuracy, knowledge query response time, and knowledge inference accuracy are higher than the currently existing methods.

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Published

2024-10-02

How to Cite

Gao, L., Qiu, J., & Chen, G. (2024). Software Test Data Management Based on Knowledge Graph. Informatica, 48(16). https://doi.org/10.31449/inf.v48i16.6416

Issue

Vol. 48 No. 16 (2024): Online-only issue

Section

Online-only

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