INCREASING THE EFFICIENCY OF THE SOFTWARE RCHITECTURE RECOVERY THROUGH SPANNING TREE BASED MAXIMAL GRAPH MINING TECHNIQUE

Journal Title: International Journal on Computer Science and Engineering - Year 2010, Vol 2, Issue 4

Abstract

This paper represents a technique for recovering the Software Architecture based on Graph Pattern Matching by the help of mining techniques. enerally Software Architecture is represented in terms of graphs with set of vertices and edges. Finding the frequent data sets is the major step in the software architecture recovery. Many algorithms are proposed in this context, for example Apriori based. In this paper to find the frequent data sets and a maximum association between the graphs we used an fficient algorithm called SPIN (Spanning tree based Maximal Graph Mining Technique). The results have shown tha our proposed Graph mining technique is more efficient in recovering the oftware Architecture

Authors and Affiliations

Shaheda Akthar , Sk. Md. Rafi

Keywords

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  • EP ID EP134518
  • DOI -
  • Views 99
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How To Cite

Shaheda Akthar, Sk. Md. Rafi (2010). INCREASING THE EFFICIENCY OF THE SOFTWARE RCHITECTURE RECOVERY THROUGH SPANNING TREE BASED MAXIMAL GRAPH MINING TECHNIQUE. International Journal on Computer Science and Engineering, 2(4), 1103-1106. https://europub.co.uk/articles/-A-134518