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  • 标题:AN EFFICIENT TECHNIQUE FOR DETECTING & ANALYZING STRUCTURAL CLONES FROM SOFTWARE LIBRARIES
  • 本地全文:下载
  • 作者:Neha Maggu ; Komal Arora
  • 期刊名称:International Journal of Computer Science and Management Studies
  • 电子版ISSN:2231-5268
  • 出版年度:2013
  • 卷号:13
  • 期号:03
  • 出版社:Imperial Foundation
  • 摘要:Cloning refers to the redundancy of code in the software system. Software developers prefer cloning as they are under tight time constraints and also for the performance reasons. Duplicated code also has negative impacts in software maintenance & evaluation. Copying of code can also indicate copying of bugs in the software. Simple Clones are formed by similar text fragment but there are large program structures which are formed by the configuration of simple clones, called structural clones. Earlier various techniques have been proposed for detecting similar code fragments in the software, which are called simple clones. But we can obtain further gains by elevating the level of code clone analysis. Recurring patterns of simple clones indicates the presence of higher level similarities i.e. structural clones In this paper, we will propose a technique to detect some useful types of structural clones. This approach will detect structural clones by using data mining technique .We will describe a tool called clone miner that implements this technique.
  • 关键词:Structural Clones; Clone detection; Analyzing Clones; Clone Identification from Software Libraries
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