Research

Scientific Transactions in Environment and Technovation Journal(STET), 05 Jun 2016 | 0
Year : 2015 | Volume: 8 | Issue: 4 | Pages : 49-53

A Study on Frequent Subgraph Mining Algorithms and Techniques for
Software Bug Localization

  • 1, ,

With increasing demand on the study of large amounts of structured data, graph mining has become an active and
important subfield in data mining domain. Frequent subgraph mining, graph classification, graph clustering and graph
matching are the common types of graph mining algorithms for graph data. Mining graph data has recently emerged as
a promising area in the current research. Software Engineering (SE) graph data is particularly important for the graph
data.

Keywords: Graph Mining, Software bug localization, Frequent Subgraph mining, call-graphs

Citation: *, ( 2015), A Study on Frequent Subgraph Mining Algorithms and Techniques for
Software Bug Localization. Scientific Transactions in Environment and Technovation Journal(STET), 8(4): 49-53

Received: 2016-05-06 06:13:09; Accepted: 2016-05-06 06:13:19;
Published: 06/05/2016

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*Correspondence: unknow user, unknow user