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文章基本信息

  • 标题:Structure Refinement for Vulnerability Estimation Models using Genetic Algorithm Based Model Generators
  • 本地全文:下载
  • 作者:Visoiu, Adrian
  • 期刊名称:Informatica Economica
  • 印刷版ISSN:1453-1305
  • 出版年度:2009
  • 卷号:13
  • 期号:1
  • 页码:64-74
  • 出版社:Academy of Economic Studies - Bucharest, Romania
  • 摘要:In this paper, a method for model structure refinement is proposed and applied in estimation of cumulative number of vulnerabilities according to time. Security as a quality characteristic is presented and defined. Vulnerabilities are defined and their importance is assessed. Existing models used for number of vulnerabilities estimation are enumerated, inspecting their structure. The principles of genetic model generators are inspected. Model structure refinement is defined in comparison with model refinement and a method for model structure refinement is proposed. A case study shows how the method is applied and the obtained results.
  • 关键词:model structure refinement; model generators; gene expression programming; software vulnerabilities; performance criteria; software metrics
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