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  • 标题:An Efficient Context Sensitive Approach for Quality of Source Code and Abstract Identification
  • 本地全文:下载
  • 作者:J. Yesudoss ; M. Pradeep
  • 期刊名称:Indian Journal of Innovations and Developments
  • 印刷版ISSN:2277-5382
  • 电子版ISSN:2277-5390
  • 出版年度:2015
  • 卷号:4
  • 期号:7
  • 页码:1-6
  • 语种:English
  • 出版社:Indian Society for Education and Environment
  • 摘要:Objectives: The main objective of this research is to achieve the quality of software code and abstract identification with high precision and recall values among diverse software program documents. Methods: Improved Context-Sensitive Document Recovery (ICSDR) method is used to discover the more accurate abstract terms as well as produce the high quality of software code. Findings: The proposed method achieves high performance in terms of precision, recall and accuracy. Application/Improvements: The proposed system is done by using Improved Context-Sensitive Document Recovery (ICSDR) approcah. ICSDR method is used for identification of relevance abstract terms and improves the quality of source code significantly.
  • 其他摘要:Objectives: The main objective of this research is to achieve the quality of software code and abstract identification with high precision and recall values among diverse software program documents. Methods: Improved Context-Sensitive Document Recovery (ICSDR) method is used to discover the more accurate abstract terms as well as produce the high quality of software code. Findings: The proposed method achieves high performance in terms of precision, recall and accuracy. Application/Improvements: The proposed system is done by using Improved Context-Sensitive Document Recovery (ICSDR) approcah. ICSDR method is used for identification of relevance abstract terms and improves the quality of source code significantly.
  • 关键词:Abstraction; Context-Sensitive; Information Retrieval and Source Code Identifier Quality.
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