A new method of software security checking based on similar feature tree

In order to optimize the fault feature database(FFD) and to improve the checking efficiency of software fault, in this paper, a novel method of software security checking based on similar feature tree(SFT) is proposed. All of fault feature patterns in FFD are considered as nodes of SFT. SFT is a special binary tree in which the left child of each node is a super-pattern of the node and the right child is a brother-pattern of the node. An improved K-modes clustering algorithm and association rules are used to construct SFT. According to the characteristics of association rules, if a fault feature which is obtained by program slicing from software procedure can't successfully matches to root of SFT, then it matches to the right child of the root. Otherwise the fault feature matches to the left child of the root. This process is iterated according to "even left not right" rule until leaf node in right sub-tree or no node can be successfully matched in left sub-tree. Finally, the checking result is given by SFT. Experimental results show that our method has higher efficiency of software fault checking.