Yangzhou University

Dingshan Chen

Bin Li

Xiaobing Sun

Cheng Zhou

Provided is an automatic construction method of a software bug knowledge graph. The method includes extraction of a relationship triple of a bug and domain classification of the bug. Specifically, the method includes: collecting bug information in a bug library and processing bug description information, obtaining a verb phrase and a noun phrase in a description sentence by means of natural language processing, and then obtaining a relationship triple of the bug according to a dependency relationship between words related to the bug information, extracting a domain feature of the bug, performing learning and training with a semi-supervised classifier to enable the classifier automatically to classify unlabeled triples, storing all the classified relationship triples in a graph database, and thus constructing a software bug knowledge graph.

Automatic construction method of software bug knowledge graph

Provided is an entity and relationship joint extraction method oriented to software bug knowledge. The method includes collecting text data of an open-source bug library and preprocessing the text data to obtain a bug text data corpus; extracting, from the bug text data corpus, a statement S for describing a bug, and then processing S, and using the processed S as a subsequent input statement; constructing an entity and relationship joint extraction model; obtaining, in conjunction with the constructed entity and relationship joint extraction model based on a transition system, an entity set E and a relationship set R corresponding to the input statement; and outputting the entity set E and the relationship set R to complete joint extraction of entities and relationships.

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Jiangsu, China

Dingshan Chen