This paper is concerned with the problem of locating the code area related to software potential fault quickly and accurately in software testing period. A new method Sig BB based on graph model is proposed for mining...
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This paper is concerned with the problem of locating the code area related to software potential fault quickly and accurately in software testing period. A new method Sig BB based on graph model is proposed for mining the suspicious fault nodes from the passing and failing execution graphs. Representing each execution of a program as a graph, the graphs are divided into the passing and failing sets. By extracting the most representative passing and failing graphs based on these sets, the discriminative sub-graph is mined between the two representative graphs. First, Sig BB searches the max common graph, and then gets the opposite nodes set. The discriminative sub-graph is obtained by organizing and extending the set finally. Since the detected code scale is associated with the sorting of suspicious nodes, a suspicious metric strategy is also designed to sort the nodes in the discriminative sub-graph. Experimental results indicate that our method is both effective and efficient for software fault localization.
Researches on community detection in signed social networks focus on the assignment of positive and negative edges. However, the community detection approaches that positive and negative edges are handled separately i...
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Dissimilar path detection is an important task in software behavior detection. Previous dissimilar path mining algorithms ignore time-interval weight and dissimilarity. Therefore, a dissimilar path detecting algorithm...
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To solve edge confusion problems in the geo-related graph visualization, here we present an edge bundling algorithm based on the road network information. First, the improved Dijkstra shortest path algorithm is employ...
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Friend recommendation is popular in social site to help people make new friends and expand their social networks. However, the conventional friend recommendation method is low accuracy for the sparsity of data and col...
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Vulnerability discovery is at the centre of attention in computer security. Most vulnerability detection methods need considerable human auditing, thus making vulnerability detection inefficient and unreliable. Simila...
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One or few failure nodes will cause cascading failure in software network, which would bring about security issues. Thus, analyzing nodes becomes an indispensable aid in software security. In this paper, software exec...
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Data grid provides a large amount of computing resources and storage space to handle data-intensive applications. Because of the limitation of available resources and the production of large-scale workload in grid, th...
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Analyzing structure of a software system is not sufficient for understanding its functionality. Certain characteristics of software are often hidden in its structure and can only be discovered when the various executi...
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We present a novel system that can transfer facial expressions from an actor to a non-human-like character. Compared with a lot of previous studies, our system requires no special light conditions or facial markers fo...
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