Construction and Applications of Embedded Aerospace Software Defect Knowledge Graph

The structured, semi-structured and unstructured data of embedded aerospace software defects are distributed separately, and the big data mining, knowledge reasoning and aided decision making are impossible due to the lack of data association mapping and data clustering, making it difficult to use the software defect knowledge efficiently. In order to solve these problems, this paper proposes a method for constructing the knowledge graph on embedded aerospace software defects. This method obtains the software defect data by classifying the defect modes of embedded aerospace software and summarizing the fault analysis methods, so as to carry out researches on key technologies for knowledge graph construction, including knowledge modeling, knowledge extraction, knowledge fusion, knowledge storage and knowledge computing, and realize the applications of embedded aerospace software defect knowledge graph in aided code review, aided software defect prediction and localization, thus improving the efficiency of third-party software testing and evaluation as well as the quality and credibility of aerospace software products.